data_source
stringclasses 1
value | prompt
stringlengths 987
17k
| ability
stringclasses 1
value | reward_model
dict | extra_info
dict |
|---|---|---|---|---|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
10432, Argentina_national_football_team
13785, Defender
8757, Female
12935, Grays_Athletic_F.C.
8471, Kiernan_Shipka
src, edge_attr, dst
10432, football_roster_position, 13785
10432, gender, 8757
10432, position, 13785
13785, team, 10432
13785, team, 12935
12935, football_roster_position, 13785
12935, position, 13785
8471, gender, 8757
Question: For what reason are Grays_Athletic_F.C. and Kiernan_Shipka associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Grays_Athletic_F.C.",
"Kiernan_Shipka"
],
"valid_edges": [
[
"Argentina_national_football_team",
"football_roster_position",
"Defender"
],
[
"Argentina_national_football_team",
"gender",
"Female"
],
[
"Argentina_national_football_team",
"position",
"Defender"
],
[
"Defender",
"team",
"Argentina_national_football_team"
],
[
"Defender",
"team",
"Grays_Athletic_F.C."
],
[
"Grays_Athletic_F.C.",
"football_roster_position",
"Defender"
],
[
"Grays_Athletic_F.C.",
"position",
"Defender"
],
[
"Kiernan_Shipka",
"gender",
"Female"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3941, Doo-wop
11917, Film_score
3026, James_Newton_Howard
4399, Marvin_Gaye
1592, Salt
src, edge_attr, dst
3941, artists, 4399
11917, artists, 3026
11917, artists, 4399
3026, nominated_for, 1592
1592, film_music, 3026
Question: How are Doo-wop and Salt related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Doo-wop",
"Salt"
],
"valid_edges": [
[
"Doo-wop",
"artists",
"Marvin_Gaye"
],
[
"Film_score",
"artists",
"James_Newton_Howard"
],
[
"Film_score",
"artists",
"Marvin_Gaye"
],
[
"James_Newton_Howard",
"nominated_for",
"Salt"
],
[
"Salt",
"film_music",
"James_Newton_Howard"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
1706, Albert_Einstein
8028, David_Hilbert
8444, Fyodor_Dostoyevsky
9303, The_Hunchback_of_Notre_Dame
7269, Victor_Hugo
src, edge_attr, dst
1706, influenced_by, 8444
1706, peers, 8028
8028, peers, 1706
8444, influenced_by, 7269
9303, story_by, 7269
Question: How are David_Hilbert and The_Hunchback_of_Notre_Dame related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"David_Hilbert",
"The_Hunchback_of_Notre_Dame"
],
"valid_edges": [
[
"Albert_Einstein",
"influenced_by",
"Fyodor_Dostoyevsky"
],
[
"Albert_Einstein",
"peers",
"David_Hilbert"
],
[
"David_Hilbert",
"peers",
"Albert_Einstein"
],
[
"Fyodor_Dostoyevsky",
"influenced_by",
"Victor_Hugo"
],
[
"The_Hunchback_of_Notre_Dame",
"story_by",
"Victor_Hugo"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
8093, Christophe_Beck
3454, Elektra
8571, Heat
4130, Regency_Enterprises
5902, Ted_Levine
src, edge_attr, dst
3454, film_music, 8093
3454, production_companies, 4130
8571, production_companies, 4130
5902, acted_in, 8571
Question: How are Christophe_Beck and Ted_Levine related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Christophe_Beck",
"Ted_Levine"
],
"valid_edges": [
[
"Elektra",
"film_music",
"Christophe_Beck"
],
[
"Elektra",
"production_companies",
"Regency_Enterprises"
],
[
"Heat",
"production_companies",
"Regency_Enterprises"
],
[
"Ted_Levine",
"acted_in",
"Heat"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2308, Belgium
8166, Ed_Begley,_Jr.
6936, Eindhoven
8796, Kingdom_of_the_Netherlands
12215, Las_Vegas
1538, North_Brabant
4857, Pineapple_Express
5137, Zeeland
src, edge_attr, dst
8166, acted_in, 4857
8166, location_of_ceremony, 12215
8796, contains, 6936
8796, contains, 1538
8796, contains, 5137
12215, place, 12215
1538, adjoins, 5137
1538, contains, 6936
4857, film_release_region, 2308
5137, adjoins, 2308
5137, adjoins, 1538
Question: How are Ed_Begley,_Jr. and North_Brabant related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Ed_Begley,_Jr.",
"North_Brabant"
],
"valid_edges": [
[
"Ed_Begley,_Jr.",
"acted_in",
"Pineapple_Express"
],
[
"Ed_Begley,_Jr.",
"location_of_ceremony",
"Las_Vegas"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"Eindhoven"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"North_Brabant"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"Zeeland"
],
[
"Las_Vegas",
"place",
"Las_Vegas"
],
[
"North_Brabant",
"adjoins",
"Zeeland"
],
[
"North_Brabant",
"contains",
"Eindhoven"
],
[
"Pineapple_Express",
"film_release_region",
"Belgium"
],
[
"Zeeland",
"adjoins",
"Belgium"
],
[
"Zeeland",
"adjoins",
"North_Brabant"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2074, Bandleader
1462, Bill_Evans
2519, Charles_Mingus
2096, Chick_Corea
4105, Dave_Brubeck
1687, Dudley_Moore
1015, Duke_Ellington
2782, Herbie_Hancock
9679, James_Brown
8333, Jazz_piano
764, John_Coltrane
1473, McCoy_Tyner
12041, Mecklenburg_County
1688, Miles_Davis
9817, Nina_Simone
2235, North_Carolina
3188, Pneumonia
11421, Ralph_Burns
5551, Ray_Charles
8763, Sun_Ra
src, edge_attr, dst
2519, profession, 2074
2096, profession, 2074
4105, profession, 2074
1015, location, 2235
1015, profession, 2074
2782, profession, 2074
9679, profession, 2074
8333, instrumentalists, 1462
8333, instrumentalists, 2519
8333, instrumentalists, 2096
8333, instrumentalists, 4105
8333, instrumentalists, 1687
8333, instrumentalists, 1015
8333, instrumentalists, 2782
8333, instrumentalists, 1473
8333, instrumentalists, 9817
8333, instrumentalists, 11421
8333, instrumentalists, 5551
8333, instrumentalists, 8763
764, location, 2235
764, profession, 2074
1473, profession, 2074
1688, profession, 2074
9817, location, 2235
2235, contains, 12041
3188, people, 1462
3188, people, 1687
3188, people, 1015
3188, people, 9679
3188, people, 1688
3188, people, 11421
3188, people, 8763
11421, profession, 2074
5551, profession, 2074
8763, profession, 2074
Question: How are Mecklenburg_County and Ralph_Burns related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Mecklenburg_County",
"Ralph_Burns"
],
"valid_edges": [
[
"Charles_Mingus",
"profession",
"Bandleader"
],
[
"Chick_Corea",
"profession",
"Bandleader"
],
[
"Dave_Brubeck",
"profession",
"Bandleader"
],
[
"Duke_Ellington",
"location",
"North_Carolina"
],
[
"Duke_Ellington",
"profession",
"Bandleader"
],
[
"Herbie_Hancock",
"profession",
"Bandleader"
],
[
"James_Brown",
"profession",
"Bandleader"
],
[
"Jazz_piano",
"instrumentalists",
"Bill_Evans"
],
[
"Jazz_piano",
"instrumentalists",
"Charles_Mingus"
],
[
"Jazz_piano",
"instrumentalists",
"Chick_Corea"
],
[
"Jazz_piano",
"instrumentalists",
"Dave_Brubeck"
],
[
"Jazz_piano",
"instrumentalists",
"Dudley_Moore"
],
[
"Jazz_piano",
"instrumentalists",
"Duke_Ellington"
],
[
"Jazz_piano",
"instrumentalists",
"Herbie_Hancock"
],
[
"Jazz_piano",
"instrumentalists",
"McCoy_Tyner"
],
[
"Jazz_piano",
"instrumentalists",
"Nina_Simone"
],
[
"Jazz_piano",
"instrumentalists",
"Ralph_Burns"
],
[
"Jazz_piano",
"instrumentalists",
"Ray_Charles"
],
[
"Jazz_piano",
"instrumentalists",
"Sun_Ra"
],
[
"John_Coltrane",
"location",
"North_Carolina"
],
[
"John_Coltrane",
"profession",
"Bandleader"
],
[
"McCoy_Tyner",
"profession",
"Bandleader"
],
[
"Miles_Davis",
"profession",
"Bandleader"
],
[
"Nina_Simone",
"location",
"North_Carolina"
],
[
"North_Carolina",
"contains",
"Mecklenburg_County"
],
[
"Pneumonia",
"people",
"Bill_Evans"
],
[
"Pneumonia",
"people",
"Dudley_Moore"
],
[
"Pneumonia",
"people",
"Duke_Ellington"
],
[
"Pneumonia",
"people",
"James_Brown"
],
[
"Pneumonia",
"people",
"Miles_Davis"
],
[
"Pneumonia",
"people",
"Ralph_Burns"
],
[
"Pneumonia",
"people",
"Sun_Ra"
],
[
"Ralph_Burns",
"profession",
"Bandleader"
],
[
"Ray_Charles",
"profession",
"Bandleader"
],
[
"Sun_Ra",
"profession",
"Bandleader"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
9276, Alpha_Sigma_Phi
10734, David_Brown
10000, East_Carolina_University
2121, Robert_Altman
7230, University_of_Missouri–Columbia
src, edge_attr, dst
10000, campuses, 10000
10000, fraternities_and_sororities, 9276
2121, award_nominee, 10734
7230, fraternities_and_sororities, 9276
7230, student, 2121
Question: In what context are David_Brown and East_Carolina_University connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"David_Brown",
"East_Carolina_University"
],
"valid_edges": [
[
"East_Carolina_University",
"campuses",
"East_Carolina_University"
],
[
"East_Carolina_University",
"fraternities_and_sororities",
"Alpha_Sigma_Phi"
],
[
"Robert_Altman",
"award_nominee",
"David_Brown"
],
[
"University_of_Missouri–Columbia",
"fraternities_and_sororities",
"Alpha_Sigma_Phi"
],
[
"University_of_Missouri–Columbia",
"student",
"Robert_Altman"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
9426, Alkmaar
2118, Amsterdam
3878, Haarlem
4466, Hilversum
7469, Joseph_R._Gannascoli
8796, Kingdom_of_the_Netherlands
2973, Men_in_Black_3
10824, North_Holland
6253, South_Holland
9792, Utrecht
src, edge_attr, dst
9426, administrative_parent, 10824
2118, state, 10824
3878, administrative_division, 10824
3878, administrative_parent, 10824
4466, administrative_parent, 10824
4466, state, 10824
7469, acted_in, 2973
8796, capital, 2118
8796, contains, 9426
8796, contains, 3878
8796, contains, 4466
8796, contains, 10824
8796, contains, 6253
8796, contains, 9792
2973, film_release_region, 2118
10824, adjoins, 6253
10824, capital, 3878
10824, contains, 9426
10824, contains, 2118
10824, contains, 3878
6253, adjoins, 10824
9792, adjoins, 10824
Question: For what reason are Alkmaar and Joseph_R._Gannascoli associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Alkmaar",
"Joseph_R._Gannascoli"
],
"valid_edges": [
[
"Alkmaar",
"administrative_parent",
"North_Holland"
],
[
"Amsterdam",
"state",
"North_Holland"
],
[
"Haarlem",
"administrative_division",
"North_Holland"
],
[
"Haarlem",
"administrative_parent",
"North_Holland"
],
[
"Hilversum",
"administrative_parent",
"North_Holland"
],
[
"Hilversum",
"state",
"North_Holland"
],
[
"Joseph_R._Gannascoli",
"acted_in",
"Men_in_Black_3"
],
[
"Kingdom_of_the_Netherlands",
"capital",
"Amsterdam"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"Alkmaar"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"Haarlem"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"Hilversum"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"North_Holland"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"South_Holland"
],
[
"Kingdom_of_the_Netherlands",
"contains",
"Utrecht"
],
[
"Men_in_Black_3",
"film_release_region",
"Amsterdam"
],
[
"North_Holland",
"adjoins",
"South_Holland"
],
[
"North_Holland",
"capital",
"Haarlem"
],
[
"North_Holland",
"contains",
"Alkmaar"
],
[
"North_Holland",
"contains",
"Amsterdam"
],
[
"North_Holland",
"contains",
"Haarlem"
],
[
"South_Holland",
"adjoins",
"North_Holland"
],
[
"Utrecht",
"adjoins",
"North_Holland"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
4232, Color_of_Night
7933, Coming_to_America
3804, Don_Ameche
3685, Eriq_La_Salle
11439, Marquette_University
src, edge_attr, dst
3804, acted_in, 7933
3685, acted_in, 4232
3685, acted_in, 7933
11439, campuses, 11439
11439, educational_institution, 11439
11439, student, 3804
Question: In what context are Color_of_Night and Marquette_University connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Color_of_Night",
"Marquette_University"
],
"valid_edges": [
[
"Don_Ameche",
"acted_in",
"Coming_to_America"
],
[
"Eriq_La_Salle",
"acted_in",
"Color_of_Night"
],
[
"Eriq_La_Salle",
"acted_in",
"Coming_to_America"
],
[
"Marquette_University",
"campuses",
"Marquette_University"
],
[
"Marquette_University",
"educational_institution",
"Marquette_University"
],
[
"Marquette_University",
"student",
"Don_Ameche"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
9068, 44th_Academy_Awards
271, Academy_Award_for_Best_Documentary_Short_Subject
4197, Cloris_Leachman
2117, Malcolm_in_the_Middle
4486, Television_comedy
src, edge_attr, dst
9068, award_winner, 4197
271, ceremony, 9068
4197, nominated_for, 2117
2117, award_winner, 4197
2117, genre, 4486
Question: In what context are Academy_Award_for_Best_Documentary_Short_Subject and Television_comedy connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Academy_Award_for_Best_Documentary_Short_Subject",
"Television_comedy"
],
"valid_edges": [
[
"44th_Academy_Awards",
"award_winner",
"Cloris_Leachman"
],
[
"Academy_Award_for_Best_Documentary_Short_Subject",
"ceremony",
"44th_Academy_Awards"
],
[
"Cloris_Leachman",
"nominated_for",
"Malcolm_in_the_Middle"
],
[
"Malcolm_in_the_Middle",
"award_winner",
"Cloris_Leachman"
],
[
"Malcolm_in_the_Middle",
"genre",
"Television_comedy"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
8540, Bam_Margera
6788, Bob_Dylan
6882, Bruce_Springsteen
14180, Carrie_Underwood
8202, Colbie_Caillat
7686, Country
9848, Country_pop
6704, Country_rock
5575, Dixie_Chicks
10854, Greensburg
8064, James_A._Michener
4023, Janis_Joplin
8244, Jayne_Mansfield
3214, Jessica_Simpson
5653, Jimmy_Buffett
138, John_Updike
4892, Kelly_Clarkson
13174, Kid_Rock
9204, LeAnn_Rimes
4259, Miley_Cyrus
11442, Norah_Jones
9653, Olivia_Newton-John
9880, Pennsylvania
8473, Reading
8487, Sheryl_Crow
11977, Stevie_Nicks
1566, T-Bone_Burnett
1251, Taylor_Swift
5046, Vegetarianism
5778, White_American
9982, Willie_Nelson
src, edge_attr, dst
8540, location, 9880
6788, diet, 5046
14180, diet, 5046
14180, participant, 1251
8202, award_winner, 1251
7686, artists, 6788
7686, artists, 6882
7686, artists, 14180
7686, artists, 8202
7686, artists, 5575
7686, artists, 4023
7686, artists, 8244
7686, artists, 3214
7686, artists, 5653
7686, artists, 4892
7686, artists, 13174
7686, artists, 9204
7686, artists, 4259
7686, artists, 11442
7686, artists, 9653
7686, artists, 8487
7686, artists, 11977
7686, artists, 1566
7686, artists, 1251
7686, artists, 9982
9848, artists, 14180
9848, artists, 8202
9848, artists, 5575
9848, artists, 3214
9848, artists, 9204
9848, artists, 4259
9848, artists, 11442
9848, artists, 9653
9848, artists, 1251
9848, parent_genre, 7686
6704, artists, 6788
6704, artists, 6882
6704, artists, 14180
6704, artists, 5575
6704, artists, 5653
6704, artists, 13174
6704, artists, 8487
6704, artists, 11977
6704, artists, 1251
6704, artists, 9982
6704, parent_genre, 7686
10854, place, 10854
8064, location, 9880
8244, location, 9880
138, location, 9880
4892, diet, 5046
4259, participant, 1251
9880, contains, 10854
9880, contains, 8473
8473, state, 9880
1566, award_winner, 1251
1251, award_nominee, 1566
1251, award_winner, 8202
1251, award_winner, 1566
1251, participant, 14180
1251, participant, 4259
1251, place_of_birth, 8473
5778, people, 8540
5778, people, 14180
5778, people, 8202
5778, people, 8064
5778, people, 4023
5778, people, 3214
5778, people, 5653
5778, people, 138
5778, people, 13174
5778, people, 9204
5778, people, 11442
5778, people, 8487
5778, people, 11977
5778, people, 1251
Question: How are Carrie_Underwood and Greensburg related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Carrie_Underwood",
"Greensburg"
],
"valid_edges": [
[
"Bam_Margera",
"location",
"Pennsylvania"
],
[
"Bob_Dylan",
"diet",
"Vegetarianism"
],
[
"Carrie_Underwood",
"diet",
"Vegetarianism"
],
[
"Carrie_Underwood",
"participant",
"Taylor_Swift"
],
[
"Colbie_Caillat",
"award_winner",
"Taylor_Swift"
],
[
"Country",
"artists",
"Bob_Dylan"
],
[
"Country",
"artists",
"Bruce_Springsteen"
],
[
"Country",
"artists",
"Carrie_Underwood"
],
[
"Country",
"artists",
"Colbie_Caillat"
],
[
"Country",
"artists",
"Dixie_Chicks"
],
[
"Country",
"artists",
"Janis_Joplin"
],
[
"Country",
"artists",
"Jayne_Mansfield"
],
[
"Country",
"artists",
"Jessica_Simpson"
],
[
"Country",
"artists",
"Jimmy_Buffett"
],
[
"Country",
"artists",
"Kelly_Clarkson"
],
[
"Country",
"artists",
"Kid_Rock"
],
[
"Country",
"artists",
"LeAnn_Rimes"
],
[
"Country",
"artists",
"Miley_Cyrus"
],
[
"Country",
"artists",
"Norah_Jones"
],
[
"Country",
"artists",
"Olivia_Newton-John"
],
[
"Country",
"artists",
"Sheryl_Crow"
],
[
"Country",
"artists",
"Stevie_Nicks"
],
[
"Country",
"artists",
"T-Bone_Burnett"
],
[
"Country",
"artists",
"Taylor_Swift"
],
[
"Country",
"artists",
"Willie_Nelson"
],
[
"Country_pop",
"artists",
"Carrie_Underwood"
],
[
"Country_pop",
"artists",
"Colbie_Caillat"
],
[
"Country_pop",
"artists",
"Dixie_Chicks"
],
[
"Country_pop",
"artists",
"Jessica_Simpson"
],
[
"Country_pop",
"artists",
"LeAnn_Rimes"
],
[
"Country_pop",
"artists",
"Miley_Cyrus"
],
[
"Country_pop",
"artists",
"Norah_Jones"
],
[
"Country_pop",
"artists",
"Olivia_Newton-John"
],
[
"Country_pop",
"artists",
"Taylor_Swift"
],
[
"Country_pop",
"parent_genre",
"Country"
],
[
"Country_rock",
"artists",
"Bob_Dylan"
],
[
"Country_rock",
"artists",
"Bruce_Springsteen"
],
[
"Country_rock",
"artists",
"Carrie_Underwood"
],
[
"Country_rock",
"artists",
"Dixie_Chicks"
],
[
"Country_rock",
"artists",
"Jimmy_Buffett"
],
[
"Country_rock",
"artists",
"Kid_Rock"
],
[
"Country_rock",
"artists",
"Sheryl_Crow"
],
[
"Country_rock",
"artists",
"Stevie_Nicks"
],
[
"Country_rock",
"artists",
"Taylor_Swift"
],
[
"Country_rock",
"artists",
"Willie_Nelson"
],
[
"Country_rock",
"parent_genre",
"Country"
],
[
"Greensburg",
"place",
"Greensburg"
],
[
"James_A._Michener",
"location",
"Pennsylvania"
],
[
"Jayne_Mansfield",
"location",
"Pennsylvania"
],
[
"John_Updike",
"location",
"Pennsylvania"
],
[
"Kelly_Clarkson",
"diet",
"Vegetarianism"
],
[
"Miley_Cyrus",
"participant",
"Taylor_Swift"
],
[
"Pennsylvania",
"contains",
"Greensburg"
],
[
"Pennsylvania",
"contains",
"Reading"
],
[
"Reading",
"state",
"Pennsylvania"
],
[
"T-Bone_Burnett",
"award_winner",
"Taylor_Swift"
],
[
"Taylor_Swift",
"award_nominee",
"T-Bone_Burnett"
],
[
"Taylor_Swift",
"award_winner",
"Colbie_Caillat"
],
[
"Taylor_Swift",
"award_winner",
"T-Bone_Burnett"
],
[
"Taylor_Swift",
"participant",
"Carrie_Underwood"
],
[
"Taylor_Swift",
"participant",
"Miley_Cyrus"
],
[
"Taylor_Swift",
"place_of_birth",
"Reading"
],
[
"White_American",
"people",
"Bam_Margera"
],
[
"White_American",
"people",
"Carrie_Underwood"
],
[
"White_American",
"people",
"Colbie_Caillat"
],
[
"White_American",
"people",
"James_A._Michener"
],
[
"White_American",
"people",
"Janis_Joplin"
],
[
"White_American",
"people",
"Jessica_Simpson"
],
[
"White_American",
"people",
"Jimmy_Buffett"
],
[
"White_American",
"people",
"John_Updike"
],
[
"White_American",
"people",
"Kid_Rock"
],
[
"White_American",
"people",
"LeAnn_Rimes"
],
[
"White_American",
"people",
"Norah_Jones"
],
[
"White_American",
"people",
"Sheryl_Crow"
],
[
"White_American",
"people",
"Stevie_Nicks"
],
[
"White_American",
"people",
"Taylor_Swift"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
12514, John_Barrowman
8862, Musical_theatre
14237, San_Diego
8082, Stephen_Sondheim
10308, Sweeney_Todd:_The_Demon_Barber_of_Fleet_Street
src, edge_attr, dst
12514, location, 14237
12514, profession, 8862
8862, artists, 12514
8862, artists, 8082
14237, place, 14237
10308, film_music, 8082
Question: In what context are San_Diego and Sweeney_Todd:_The_Demon_Barber_of_Fleet_Street connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"San_Diego",
"Sweeney_Todd:_The_Demon_Barber_of_Fleet_Street"
],
"valid_edges": [
[
"John_Barrowman",
"location",
"San_Diego"
],
[
"John_Barrowman",
"profession",
"Musical_theatre"
],
[
"Musical_theatre",
"artists",
"John_Barrowman"
],
[
"Musical_theatre",
"artists",
"Stephen_Sondheim"
],
[
"San_Diego",
"place",
"San_Diego"
],
[
"Sweeney_Todd:_The_Demon_Barber_of_Fleet_Street",
"film_music",
"Stephen_Sondheim"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3123, Cardiovascular_disease
4010, Dyspnea
4863, Margin_Call
5625, Max_Fleischer
644, Vienna
src, edge_attr, dst
3123, people, 5625
4010, symptom_of, 3123
4863, film_release_region, 644
5625, location, 644
Question: For what reason are Dyspnea and Margin_Call associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Dyspnea",
"Margin_Call"
],
"valid_edges": [
[
"Cardiovascular_disease",
"people",
"Max_Fleischer"
],
[
"Dyspnea",
"symptom_of",
"Cardiovascular_disease"
],
[
"Margin_Call",
"film_release_region",
"Vienna"
],
[
"Max_Fleischer",
"location",
"Vienna"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
8892, Fist_of_the_North_Star
8879, Kaneto_Shiozawa
8126, Kirk_Thornton
1253, Lucy_Liu
2726, Martial_Arts_Film
13245, Shanghai_Knights
13568, Shanghai_Noon
6014, Street_Fighter_II:_The_Animated_Movie
src, edge_attr, dst
8892, actor, 8879
8892, actor, 8126
8892, genre, 2726
8879, acted_in, 8892
8879, acted_in, 6014
1253, acted_in, 13568
2726, titles, 13245
2726, titles, 13568
13245, genre, 2726
13245, prequel, 13568
13568, genre, 2726
6014, actor, 8126
6014, genre, 2726
Question: In what context are Lucy_Liu and Street_Fighter_II:_The_Animated_Movie connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Lucy_Liu",
"Street_Fighter_II:_The_Animated_Movie"
],
"valid_edges": [
[
"Fist_of_the_North_Star",
"actor",
"Kaneto_Shiozawa"
],
[
"Fist_of_the_North_Star",
"actor",
"Kirk_Thornton"
],
[
"Fist_of_the_North_Star",
"genre",
"Martial_Arts_Film"
],
[
"Kaneto_Shiozawa",
"acted_in",
"Fist_of_the_North_Star"
],
[
"Kaneto_Shiozawa",
"acted_in",
"Street_Fighter_II:_The_Animated_Movie"
],
[
"Lucy_Liu",
"acted_in",
"Shanghai_Noon"
],
[
"Martial_Arts_Film",
"titles",
"Shanghai_Knights"
],
[
"Martial_Arts_Film",
"titles",
"Shanghai_Noon"
],
[
"Shanghai_Knights",
"genre",
"Martial_Arts_Film"
],
[
"Shanghai_Knights",
"prequel",
"Shanghai_Noon"
],
[
"Shanghai_Noon",
"genre",
"Martial_Arts_Film"
],
[
"Street_Fighter_II:_The_Animated_Movie",
"actor",
"Kirk_Thornton"
],
[
"Street_Fighter_II:_The_Animated_Movie",
"genre",
"Martial_Arts_Film"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
6599, Black
11787, Eintracht_Frankfurt
1162, Governor-GB
11262, London_School_of_Economics_and_Political_Science
4118, Saint_Petersburg
7416, Wellington_College,_Berkshire
src, edge_attr, dst
11787, colors, 6599
1162, company, 11262
1162, company, 7416
1162, jurisdiction_of_office, 4118
11262, colors, 6599
7416, colors, 6599
Question: In what context are Eintracht_Frankfurt and Saint_Petersburg connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Eintracht_Frankfurt",
"Saint_Petersburg"
],
"valid_edges": [
[
"Eintracht_Frankfurt",
"colors",
"Black"
],
[
"Governor-GB",
"company",
"London_School_of_Economics_and_Political_Science"
],
[
"Governor-GB",
"company",
"Wellington_College,_Berkshire"
],
[
"Governor-GB",
"jurisdiction_of_office",
"Saint_Petersburg"
],
[
"London_School_of_Economics_and_Political_Science",
"colors",
"Black"
],
[
"Wellington_College,_Berkshire",
"colors",
"Black"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3853, Hampshire_College
2867, Liev_Schreiber
13394, Minimal_techno
2971, Techno
720, Will.i.am
src, edge_attr, dst
3853, campuses, 3853
3853, educational_institution, 3853
3853, student, 2867
2867, award_nominee, 720
13394, parent_genre, 2971
2971, artists, 720
Question: How are Hampshire_College and Minimal_techno related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Hampshire_College",
"Minimal_techno"
],
"valid_edges": [
[
"Hampshire_College",
"campuses",
"Hampshire_College"
],
[
"Hampshire_College",
"educational_institution",
"Hampshire_College"
],
[
"Hampshire_College",
"student",
"Liev_Schreiber"
],
[
"Liev_Schreiber",
"award_nominee",
"Will.i.am"
],
[
"Minimal_techno",
"parent_genre",
"Techno"
],
[
"Techno",
"artists",
"Will.i.am"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
7907, Batman-US
2171, Batman_&_Robin
4006, Copenhagen
3488, Niels_Henrik_David_Bohr
2731, Uma_Thurman
src, edge_attr, dst
7907, films, 2171
4006, vacationer, 2731
3488, place_of_birth, 4006
3488, place_of_death, 4006
2731, acted_in, 2171
2731, nominated_for, 2171
Question: How are Batman-US and Niels_Henrik_David_Bohr related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Batman-US",
"Niels_Henrik_David_Bohr"
],
"valid_edges": [
[
"Batman-US",
"films",
"Batman_&_Robin"
],
[
"Copenhagen",
"vacationer",
"Uma_Thurman"
],
[
"Niels_Henrik_David_Bohr",
"place_of_birth",
"Copenhagen"
],
[
"Niels_Henrik_David_Bohr",
"place_of_death",
"Copenhagen"
],
[
"Uma_Thurman",
"acted_in",
"Batman_&_Robin"
],
[
"Uma_Thurman",
"nominated_for",
"Batman_&_Robin"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
12383, A.C._Chievo_Verona
11718, Aberystwyth_University
445, Australia
1694, Bend_It_Like_Beckham
13795, Boca_Juniors
11183, Bochum
4337, Borussia_Dortmund
2485, Brasenose_College,_Oxford
9379, Bryn_Mawr_College
10577, Chelsea_F.C.
9298, Clare_College,_Cambridge
7160, Dortmund
9609, FC_BATE_Borisov
7505, FC_Barcelona
1115, FC_Rostov
2262, FC_Zenit_Saint_Petersburg
10056, Football
14138, G.D._Estoril_Praia
6597, Galatasaray_S.K.
5165, Germany
7658, Ghent_University
13064, Kilmarnock_F.C.
8044, Lady_Margaret_Hall,_Oxford
1595, Maccabi_Tel_Aviv_B.C.
12479, Mills_College
3024, Motherwell_F.C.
6337, Newnham_College,_Cambridge
8595, North_Dakota_State_University
2338, North_Rhine-Westphalia
5089, Official_Website
13523, Oregon_Ducks_football
1398, Parma_F.C.
960, Parsons_The_New_School_for_Design
12177, Queen_Mary,_University_of_London
13564, Skidmore_College
3038, St._Johnstone_F.C.
2772, The_New_School
12058, Tigres_UANL
8116, United_States_Forest_Service
11826, University_of_New_South_Wales
205, University_of_Oregon
1821, University_of_Rochester
11763, University_of_Saskatchewan
7304, University_of_Wales
1750, Virginia_Military_Institute
6920, Wadham_College,_Oxford
13390, Watford_F.C.
12687, Wichita_State_University
6567, Yellow
src, edge_attr, dst
12383, colors, 6567
12383, sport, 10056
11718, colors, 6567
11718, webpage_category, 5089
445, webpage_category, 5089
1694, webpage_category, 5089
13795, colors, 6567
13795, sport, 10056
11183, adjoins, 7160
11183, webpage_category, 5089
4337, citytown, 7160
4337, colors, 6567
4337, sport, 10056
2485, colors, 6567
2485, webpage_category, 5089
9379, colors, 6567
9379, webpage_category, 5089
10577, sport, 10056
10577, webpage_category, 5089
9298, colors, 6567
9298, webpage_category, 5089
7160, adjoins, 11183
7160, country, 5165
7160, teams, 4337
7160, webpage_category, 5089
9609, colors, 6567
9609, sport, 10056
7505, sport, 10056
7505, webpage_category, 5089
1115, colors, 6567
1115, sport, 10056
2262, sport, 10056
2262, webpage_category, 5089
10056, country, 445
10056, country, 5165
10056, films, 1694
10056, titles, 1694
14138, colors, 6567
14138, sport, 10056
6597, colors, 6567
6597, sport, 10056
6597, webpage_category, 5089
5165, contains, 7160
7658, colors, 6567
7658, webpage_category, 5089
13064, colors, 6567
13064, sport, 10056
8044, colors, 6567
8044, webpage_category, 5089
1595, colors, 6567
1595, webpage_category, 5089
12479, colors, 6567
12479, webpage_category, 5089
3024, colors, 6567
3024, sport, 10056
6337, colors, 6567
6337, webpage_category, 5089
8595, colors, 6567
8595, webpage_category, 5089
2338, contains, 7160
2338, webpage_category, 5089
13523, colors, 6567
13523, webpage_category, 5089
1398, colors, 6567
1398, sport, 10056
960, colors, 6567
960, webpage_category, 5089
12177, colors, 6567
12177, webpage_category, 5089
13564, colors, 6567
13564, webpage_category, 5089
3038, colors, 6567
3038, sport, 10056
2772, colors, 6567
2772, webpage_category, 5089
12058, colors, 6567
12058, sport, 10056
8116, webpage_category, 5089
11826, colors, 6567
11826, webpage_category, 5089
205, colors, 6567
205, webpage_category, 5089
1821, colors, 6567
1821, webpage_category, 5089
11763, colors, 6567
11763, webpage_category, 5089
7304, colors, 6567
7304, webpage_category, 5089
1750, colors, 6567
1750, webpage_category, 5089
6920, colors, 6567
6920, webpage_category, 5089
13390, colors, 6567
13390, sport, 10056
12687, colors, 6567
12687, webpage_category, 5089
Question: In what context are Borussia_Dortmund and United_States_Forest_Service connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Borussia_Dortmund",
"United_States_Forest_Service"
],
"valid_edges": [
[
"A.C._Chievo_Verona",
"colors",
"Yellow"
],
[
"A.C._Chievo_Verona",
"sport",
"Football"
],
[
"Aberystwyth_University",
"colors",
"Yellow"
],
[
"Aberystwyth_University",
"webpage_category",
"Official_Website"
],
[
"Australia",
"webpage_category",
"Official_Website"
],
[
"Bend_It_Like_Beckham",
"webpage_category",
"Official_Website"
],
[
"Boca_Juniors",
"colors",
"Yellow"
],
[
"Boca_Juniors",
"sport",
"Football"
],
[
"Bochum",
"adjoins",
"Dortmund"
],
[
"Bochum",
"webpage_category",
"Official_Website"
],
[
"Borussia_Dortmund",
"citytown",
"Dortmund"
],
[
"Borussia_Dortmund",
"colors",
"Yellow"
],
[
"Borussia_Dortmund",
"sport",
"Football"
],
[
"Brasenose_College,_Oxford",
"colors",
"Yellow"
],
[
"Brasenose_College,_Oxford",
"webpage_category",
"Official_Website"
],
[
"Bryn_Mawr_College",
"colors",
"Yellow"
],
[
"Bryn_Mawr_College",
"webpage_category",
"Official_Website"
],
[
"Chelsea_F.C.",
"sport",
"Football"
],
[
"Chelsea_F.C.",
"webpage_category",
"Official_Website"
],
[
"Clare_College,_Cambridge",
"colors",
"Yellow"
],
[
"Clare_College,_Cambridge",
"webpage_category",
"Official_Website"
],
[
"Dortmund",
"adjoins",
"Bochum"
],
[
"Dortmund",
"country",
"Germany"
],
[
"Dortmund",
"teams",
"Borussia_Dortmund"
],
[
"Dortmund",
"webpage_category",
"Official_Website"
],
[
"FC_BATE_Borisov",
"colors",
"Yellow"
],
[
"FC_BATE_Borisov",
"sport",
"Football"
],
[
"FC_Barcelona",
"sport",
"Football"
],
[
"FC_Barcelona",
"webpage_category",
"Official_Website"
],
[
"FC_Rostov",
"colors",
"Yellow"
],
[
"FC_Rostov",
"sport",
"Football"
],
[
"FC_Zenit_Saint_Petersburg",
"sport",
"Football"
],
[
"FC_Zenit_Saint_Petersburg",
"webpage_category",
"Official_Website"
],
[
"Football",
"country",
"Australia"
],
[
"Football",
"country",
"Germany"
],
[
"Football",
"films",
"Bend_It_Like_Beckham"
],
[
"Football",
"titles",
"Bend_It_Like_Beckham"
],
[
"G.D._Estoril_Praia",
"colors",
"Yellow"
],
[
"G.D._Estoril_Praia",
"sport",
"Football"
],
[
"Galatasaray_S.K.",
"colors",
"Yellow"
],
[
"Galatasaray_S.K.",
"sport",
"Football"
],
[
"Galatasaray_S.K.",
"webpage_category",
"Official_Website"
],
[
"Germany",
"contains",
"Dortmund"
],
[
"Ghent_University",
"colors",
"Yellow"
],
[
"Ghent_University",
"webpage_category",
"Official_Website"
],
[
"Kilmarnock_F.C.",
"colors",
"Yellow"
],
[
"Kilmarnock_F.C.",
"sport",
"Football"
],
[
"Lady_Margaret_Hall,_Oxford",
"colors",
"Yellow"
],
[
"Lady_Margaret_Hall,_Oxford",
"webpage_category",
"Official_Website"
],
[
"Maccabi_Tel_Aviv_B.C.",
"colors",
"Yellow"
],
[
"Maccabi_Tel_Aviv_B.C.",
"webpage_category",
"Official_Website"
],
[
"Mills_College",
"colors",
"Yellow"
],
[
"Mills_College",
"webpage_category",
"Official_Website"
],
[
"Motherwell_F.C.",
"colors",
"Yellow"
],
[
"Motherwell_F.C.",
"sport",
"Football"
],
[
"Newnham_College,_Cambridge",
"colors",
"Yellow"
],
[
"Newnham_College,_Cambridge",
"webpage_category",
"Official_Website"
],
[
"North_Dakota_State_University",
"colors",
"Yellow"
],
[
"North_Dakota_State_University",
"webpage_category",
"Official_Website"
],
[
"North_Rhine-Westphalia",
"contains",
"Dortmund"
],
[
"North_Rhine-Westphalia",
"webpage_category",
"Official_Website"
],
[
"Oregon_Ducks_football",
"colors",
"Yellow"
],
[
"Oregon_Ducks_football",
"webpage_category",
"Official_Website"
],
[
"Parma_F.C.",
"colors",
"Yellow"
],
[
"Parma_F.C.",
"sport",
"Football"
],
[
"Parsons_The_New_School_for_Design",
"colors",
"Yellow"
],
[
"Parsons_The_New_School_for_Design",
"webpage_category",
"Official_Website"
],
[
"Queen_Mary,_University_of_London",
"colors",
"Yellow"
],
[
"Queen_Mary,_University_of_London",
"webpage_category",
"Official_Website"
],
[
"Skidmore_College",
"colors",
"Yellow"
],
[
"Skidmore_College",
"webpage_category",
"Official_Website"
],
[
"St._Johnstone_F.C.",
"colors",
"Yellow"
],
[
"St._Johnstone_F.C.",
"sport",
"Football"
],
[
"The_New_School",
"colors",
"Yellow"
],
[
"The_New_School",
"webpage_category",
"Official_Website"
],
[
"Tigres_UANL",
"colors",
"Yellow"
],
[
"Tigres_UANL",
"sport",
"Football"
],
[
"United_States_Forest_Service",
"webpage_category",
"Official_Website"
],
[
"University_of_New_South_Wales",
"colors",
"Yellow"
],
[
"University_of_New_South_Wales",
"webpage_category",
"Official_Website"
],
[
"University_of_Oregon",
"colors",
"Yellow"
],
[
"University_of_Oregon",
"webpage_category",
"Official_Website"
],
[
"University_of_Rochester",
"colors",
"Yellow"
],
[
"University_of_Rochester",
"webpage_category",
"Official_Website"
],
[
"University_of_Saskatchewan",
"colors",
"Yellow"
],
[
"University_of_Saskatchewan",
"webpage_category",
"Official_Website"
],
[
"University_of_Wales",
"colors",
"Yellow"
],
[
"University_of_Wales",
"webpage_category",
"Official_Website"
],
[
"Virginia_Military_Institute",
"colors",
"Yellow"
],
[
"Virginia_Military_Institute",
"webpage_category",
"Official_Website"
],
[
"Wadham_College,_Oxford",
"colors",
"Yellow"
],
[
"Wadham_College,_Oxford",
"webpage_category",
"Official_Website"
],
[
"Watford_F.C.",
"colors",
"Yellow"
],
[
"Watford_F.C.",
"sport",
"Football"
],
[
"Wichita_State_University",
"colors",
"Yellow"
],
[
"Wichita_State_University",
"webpage_category",
"Official_Website"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2011, Alanis_Morissette
3701, Buddhism
8159, Laos
934, MTV_Video_Music_Award_for_Artist_to_Watch
1402, The_Killers
src, edge_attr, dst
2011, award, 934
2011, religion, 3701
8159, religion, 3701
934, award_winner, 2011
934, award_winner, 1402
1402, award, 934
Question: In what context are Laos and The_Killers connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Laos",
"The_Killers"
],
"valid_edges": [
[
"Alanis_Morissette",
"award",
"MTV_Video_Music_Award_for_Artist_to_Watch"
],
[
"Alanis_Morissette",
"religion",
"Buddhism"
],
[
"Laos",
"religion",
"Buddhism"
],
[
"MTV_Video_Music_Award_for_Artist_to_Watch",
"award_winner",
"Alanis_Morissette"
],
[
"MTV_Video_Music_Award_for_Artist_to_Watch",
"award_winner",
"The_Killers"
],
[
"The_Killers",
"award",
"MTV_Video_Music_Award_for_Artist_to_Watch"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
11896, Bryan_Cranston
4006, Copenhagen
8107, Giancarlo_Esposito
3488, Niels_Henrik_David_Bohr
3625, Scientist-GB
src, edge_attr, dst
11896, award_nominee, 8107
8107, award_nominee, 11896
8107, location, 4006
8107, place_of_birth, 4006
3488, place_of_birth, 4006
3488, place_of_death, 4006
3488, profession, 3625
Question: How are Bryan_Cranston and Scientist-GB related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Bryan_Cranston",
"Scientist-GB"
],
"valid_edges": [
[
"Bryan_Cranston",
"award_nominee",
"Giancarlo_Esposito"
],
[
"Giancarlo_Esposito",
"award_nominee",
"Bryan_Cranston"
],
[
"Giancarlo_Esposito",
"location",
"Copenhagen"
],
[
"Giancarlo_Esposito",
"place_of_birth",
"Copenhagen"
],
[
"Niels_Henrik_David_Bohr",
"place_of_birth",
"Copenhagen"
],
[
"Niels_Henrik_David_Bohr",
"place_of_death",
"Copenhagen"
],
[
"Niels_Henrik_David_Bohr",
"profession",
"Scientist-GB"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
982, 2010
7013, Erich_Wolfgang_Korngold
6606, Opera
3325, Peter_Hyams
2688, Richard_Strauss
src, edge_attr, dst
982, cinematography, 3325
982, film_music, 2688
982, produced_by, 3325
6606, artists, 7013
6606, artists, 2688
3325, film, 982
Question: In what context are Erich_Wolfgang_Korngold and Peter_Hyams connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Erich_Wolfgang_Korngold",
"Peter_Hyams"
],
"valid_edges": [
[
"2010",
"cinematography",
"Peter_Hyams"
],
[
"2010",
"film_music",
"Richard_Strauss"
],
[
"2010",
"produced_by",
"Peter_Hyams"
],
[
"Opera",
"artists",
"Erich_Wolfgang_Korngold"
],
[
"Opera",
"artists",
"Richard_Strauss"
],
[
"Peter_Hyams",
"film",
"2010"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
6752, Computer_Animation
4028, Dr._Seuss
2173, Linda_Perry
2937, Springfield
3739, The_Lorax
src, edge_attr, dst
4028, location, 2937
4028, place_of_birth, 2937
2173, place_of_birth, 2937
2937, place, 2937
3739, genre, 6752
3739, story_by, 4028
Question: For what reason are Computer_Animation and Linda_Perry associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Computer_Animation",
"Linda_Perry"
],
"valid_edges": [
[
"Dr._Seuss",
"location",
"Springfield"
],
[
"Dr._Seuss",
"place_of_birth",
"Springfield"
],
[
"Linda_Perry",
"place_of_birth",
"Springfield"
],
[
"Springfield",
"place",
"Springfield"
],
[
"The_Lorax",
"genre",
"Computer_Animation"
],
[
"The_Lorax",
"story_by",
"Dr._Seuss"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
6158, Chester_City_F.C.
7612, Goalkeeper
1776, Grafton_County
11333, Hannover_96
6521, Hanover
src, edge_attr, dst
6158, football_roster_position, 7612
6158, position, 7612
7612, team, 6158
7612, team, 11333
1776, contains, 6521
11333, football_roster_position, 7612
11333, position, 7612
6521, county, 1776
6521, place, 6521
6521, teams, 11333
Question: In what context are Chester_City_F.C. and Grafton_County connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Chester_City_F.C.",
"Grafton_County"
],
"valid_edges": [
[
"Chester_City_F.C.",
"football_roster_position",
"Goalkeeper"
],
[
"Chester_City_F.C.",
"position",
"Goalkeeper"
],
[
"Goalkeeper",
"team",
"Chester_City_F.C."
],
[
"Goalkeeper",
"team",
"Hannover_96"
],
[
"Grafton_County",
"contains",
"Hanover"
],
[
"Hannover_96",
"football_roster_position",
"Goalkeeper"
],
[
"Hannover_96",
"position",
"Goalkeeper"
],
[
"Hanover",
"county",
"Grafton_County"
],
[
"Hanover",
"place",
"Hanover"
],
[
"Hanover",
"teams",
"Hannover_96"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
10974, Adam_Ant
5086, Alternative_rock
6619, Arlington
13617, Auburn
13929, Austin
4954, Baltimore
2559, Baton_Rouge
3410, Beaumont
1859, Birmingham
12605, Burlington
10921, Central_Time_Zone
4278, Chicago
4161, Columbia
506, Contiguous_United_States
6843, Corpus_Christi
7700, Dallas
6430, Dark_cabaret
3952, Decatur
10892, Des_Moines
3190, Duluth
10582, Eau_Claire
12683, Elvis_Costello
7887, Fargo
5139, Fayetteville
1729, Florence
11542, Folk_music
3119, Fort_Worth
7233, Franklin
12558, Galveston
8050, Garland
2097, Gary
7912, Greenville
4937, Greg_Graffin
12338, Hot_Springs
8249, Houston
3458, Illinois
12309, Iowa
5301, Irving
13884, Jackson
113, Jackson_County
12494, Jefferson_County
13966, Josh_Freese
2922, Kansas_City
12127, Kenosha
5647, Lake_County
2430, Lawrence
12095, Lawton
10956, Lincoln
7431, Linn_County
5814, Little_Rock
12893, Longview
1725, Los_Angeles
4620, Lubbock
2017, Lupe_Fiasco
6109, Madison
8857, Madison_County
11157, Manhattan
3957, Memphis
4155, Michigan
10336, Midland
12153, Mike_Watt
10659, Milwaukee
10110, Minneapolis
1324, Minnesota
7714, Minot
4706, Montgomery_County
12195, Morrissey
5999, New_Orleans
12588, Norman
2070, Oklahoma_City
2327, Omaha
1107, Owensboro
9859, Plano
8278, Polk_County
8685, Port_Arthur
1040, Post-hardcore
13500, Post-punk
2528, Punk_rock
7166, Racine
11277, Rochester
8162, Rock_music
13259, San_Antonio
4266, Shelby_County
4668, Shreveport
2549, Silver_Spring
8907, Sioux_Falls
2937, Springfield
7021, St._Louis
10380, Sting
4578, Tom_Morello
8695, Tori_Amos
8466, Tulsa
12981, United_States_Department_of_Housing_and_Urban_Development
4465, Waco
8099, Washington,_D.C.
6112, Waterloo
1982, Wichita
5538, Wisconsin
6805, Wood_County
src, edge_attr, dst
5086, artists, 8695
5086, parent_genre, 13500
6619, source, 12981
6619, time_zones, 10921
13617, source, 12981
13617, time_zones, 10921
13929, source, 12981
13929, time_zones, 10921
4954, source, 12981
2559, source, 12981
2559, time_zones, 10921
3410, source, 12981
3410, time_zones, 10921
1859, source, 12981
1859, time_zones, 10921
12605, source, 12981
12605, time_zones, 10921
4278, source, 12981
4278, time_zones, 10921
4161, source, 12981
4161, time_zones, 10921
506, contains, 5538
506, time_zones, 10921
6843, source, 12981
6843, time_zones, 10921
7700, source, 12981
7700, time_zones, 10921
6430, artists, 8695
6430, parent_genre, 11542
6430, parent_genre, 13500
6430, parent_genre, 2528
3952, source, 12981
3952, time_zones, 10921
10892, source, 12981
10892, time_zones, 10921
3190, source, 12981
3190, time_zones, 10921
10582, place, 10582
10582, source, 12981
10582, time_zones, 10921
7887, source, 12981
7887, time_zones, 10921
5139, source, 12981
5139, time_zones, 10921
1729, source, 12981
1729, time_zones, 10921
11542, artists, 11542
11542, artists, 4937
11542, artists, 4578
3119, source, 12981
3119, time_zones, 10921
7233, source, 12981
7233, time_zones, 10921
12558, source, 12981
12558, time_zones, 10921
8050, source, 12981
8050, time_zones, 10921
2097, source, 12981
2097, time_zones, 10921
7912, source, 12981
7912, time_zones, 10921
12338, source, 12981
12338, time_zones, 10921
8249, source, 12981
8249, time_zones, 10921
3458, adjoins, 5538
3458, time_zones, 10921
12309, adjoins, 5538
12309, time_zones, 10921
5301, source, 12981
5301, time_zones, 10921
13884, source, 12981
13884, time_zones, 10921
113, source, 12981
113, time_zones, 10921
12494, source, 12981
12494, time_zones, 10921
2922, source, 12981
2922, time_zones, 10921
12127, source, 12981
12127, time_zones, 10921
5647, source, 12981
5647, time_zones, 10921
2430, source, 12981
2430, time_zones, 10921
12095, source, 12981
12095, time_zones, 10921
10956, source, 12981
10956, time_zones, 10921
7431, source, 12981
7431, time_zones, 10921
5814, source, 12981
5814, time_zones, 10921
12893, source, 12981
12893, time_zones, 10921
1725, source, 12981
4620, source, 12981
4620, time_zones, 10921
6109, administrative_division, 5538
6109, source, 12981
6109, state, 5538
6109, time_zones, 10921
8857, source, 12981
8857, time_zones, 10921
11157, source, 12981
11157, time_zones, 10921
3957, source, 12981
3957, time_zones, 10921
4155, adjoins, 5538
4155, time_zones, 10921
10336, source, 12981
10336, time_zones, 10921
10659, source, 12981
10659, state, 5538
10659, time_zones, 10921
10110, source, 12981
10110, time_zones, 10921
1324, adjoins, 5538
1324, time_zones, 10921
7714, source, 12981
7714, time_zones, 10921
4706, source, 12981
4706, time_zones, 10921
5999, source, 12981
5999, time_zones, 10921
12588, source, 12981
12588, time_zones, 10921
2070, source, 12981
2070, time_zones, 10921
2327, source, 12981
2327, time_zones, 10921
1107, source, 12981
1107, time_zones, 10921
9859, source, 12981
9859, time_zones, 10921
8278, source, 12981
8278, time_zones, 10921
8685, source, 12981
8685, time_zones, 10921
1040, parent_genre, 13500
1040, parent_genre, 2528
13500, artists, 10974
13500, artists, 12683
13500, artists, 13966
13500, artists, 2017
13500, artists, 12153
13500, artists, 12195
13500, artists, 10380
13500, parent_genre, 2528
2528, artists, 10974
2528, artists, 12683
2528, artists, 4937
2528, artists, 13966
2528, artists, 2017
2528, artists, 12153
2528, artists, 12195
2528, artists, 10380
2528, artists, 4578
2528, parent_genre, 8162
7166, source, 12981
7166, time_zones, 10921
11277, source, 12981
11277, time_zones, 10921
8162, parent_genre, 11542
13259, source, 12981
13259, time_zones, 10921
4266, source, 12981
4266, time_zones, 10921
4668, source, 12981
4668, time_zones, 10921
2549, source, 12981
8907, source, 12981
8907, time_zones, 10921
2937, source, 12981
2937, time_zones, 10921
7021, source, 12981
7021, time_zones, 10921
8695, location, 4954
8695, location, 1725
8695, location, 2549
8695, location, 8099
8466, source, 12981
8466, time_zones, 10921
4465, source, 12981
4465, time_zones, 10921
8099, source, 12981
6112, source, 12981
6112, time_zones, 10921
1982, source, 12981
1982, time_zones, 10921
5538, adjoins, 3458
5538, adjoins, 1324
5538, capital, 6109
5538, contains, 10582
5538, contains, 12127
5538, contains, 6109
5538, contains, 10659
5538, contains, 7166
5538, contains, 6805
5538, time_zones, 10921
6805, source, 12981
6805, time_zones, 10921
Question: In what context are Dark_cabaret and Eau_Claire connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Dark_cabaret",
"Eau_Claire"
],
"valid_edges": [
[
"Alternative_rock",
"artists",
"Tori_Amos"
],
[
"Alternative_rock",
"parent_genre",
"Post-punk"
],
[
"Arlington",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Arlington",
"time_zones",
"Central_Time_Zone"
],
[
"Auburn",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Auburn",
"time_zones",
"Central_Time_Zone"
],
[
"Austin",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Austin",
"time_zones",
"Central_Time_Zone"
],
[
"Baltimore",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Baton_Rouge",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Baton_Rouge",
"time_zones",
"Central_Time_Zone"
],
[
"Beaumont",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Beaumont",
"time_zones",
"Central_Time_Zone"
],
[
"Birmingham",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Birmingham",
"time_zones",
"Central_Time_Zone"
],
[
"Burlington",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Burlington",
"time_zones",
"Central_Time_Zone"
],
[
"Chicago",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Chicago",
"time_zones",
"Central_Time_Zone"
],
[
"Columbia",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Columbia",
"time_zones",
"Central_Time_Zone"
],
[
"Contiguous_United_States",
"contains",
"Wisconsin"
],
[
"Contiguous_United_States",
"time_zones",
"Central_Time_Zone"
],
[
"Corpus_Christi",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Corpus_Christi",
"time_zones",
"Central_Time_Zone"
],
[
"Dallas",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Dallas",
"time_zones",
"Central_Time_Zone"
],
[
"Dark_cabaret",
"artists",
"Tori_Amos"
],
[
"Dark_cabaret",
"parent_genre",
"Folk_music"
],
[
"Dark_cabaret",
"parent_genre",
"Post-punk"
],
[
"Dark_cabaret",
"parent_genre",
"Punk_rock"
],
[
"Decatur",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Decatur",
"time_zones",
"Central_Time_Zone"
],
[
"Des_Moines",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Des_Moines",
"time_zones",
"Central_Time_Zone"
],
[
"Duluth",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Duluth",
"time_zones",
"Central_Time_Zone"
],
[
"Eau_Claire",
"place",
"Eau_Claire"
],
[
"Eau_Claire",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Eau_Claire",
"time_zones",
"Central_Time_Zone"
],
[
"Fargo",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Fargo",
"time_zones",
"Central_Time_Zone"
],
[
"Fayetteville",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Fayetteville",
"time_zones",
"Central_Time_Zone"
],
[
"Florence",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Florence",
"time_zones",
"Central_Time_Zone"
],
[
"Folk_music",
"artists",
"Folk_music"
],
[
"Folk_music",
"artists",
"Greg_Graffin"
],
[
"Folk_music",
"artists",
"Tom_Morello"
],
[
"Fort_Worth",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Fort_Worth",
"time_zones",
"Central_Time_Zone"
],
[
"Franklin",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Franklin",
"time_zones",
"Central_Time_Zone"
],
[
"Galveston",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Galveston",
"time_zones",
"Central_Time_Zone"
],
[
"Garland",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Garland",
"time_zones",
"Central_Time_Zone"
],
[
"Gary",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Gary",
"time_zones",
"Central_Time_Zone"
],
[
"Greenville",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Greenville",
"time_zones",
"Central_Time_Zone"
],
[
"Hot_Springs",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Hot_Springs",
"time_zones",
"Central_Time_Zone"
],
[
"Houston",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Houston",
"time_zones",
"Central_Time_Zone"
],
[
"Illinois",
"adjoins",
"Wisconsin"
],
[
"Illinois",
"time_zones",
"Central_Time_Zone"
],
[
"Iowa",
"adjoins",
"Wisconsin"
],
[
"Iowa",
"time_zones",
"Central_Time_Zone"
],
[
"Irving",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Irving",
"time_zones",
"Central_Time_Zone"
],
[
"Jackson",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Jackson",
"time_zones",
"Central_Time_Zone"
],
[
"Jackson_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Jackson_County",
"time_zones",
"Central_Time_Zone"
],
[
"Jefferson_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Jefferson_County",
"time_zones",
"Central_Time_Zone"
],
[
"Kansas_City",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Kansas_City",
"time_zones",
"Central_Time_Zone"
],
[
"Kenosha",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Kenosha",
"time_zones",
"Central_Time_Zone"
],
[
"Lake_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Lake_County",
"time_zones",
"Central_Time_Zone"
],
[
"Lawrence",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Lawrence",
"time_zones",
"Central_Time_Zone"
],
[
"Lawton",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Lawton",
"time_zones",
"Central_Time_Zone"
],
[
"Lincoln",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Lincoln",
"time_zones",
"Central_Time_Zone"
],
[
"Linn_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Linn_County",
"time_zones",
"Central_Time_Zone"
],
[
"Little_Rock",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Little_Rock",
"time_zones",
"Central_Time_Zone"
],
[
"Longview",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Longview",
"time_zones",
"Central_Time_Zone"
],
[
"Los_Angeles",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Lubbock",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Lubbock",
"time_zones",
"Central_Time_Zone"
],
[
"Madison",
"administrative_division",
"Wisconsin"
],
[
"Madison",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Madison",
"state",
"Wisconsin"
],
[
"Madison",
"time_zones",
"Central_Time_Zone"
],
[
"Madison_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Madison_County",
"time_zones",
"Central_Time_Zone"
],
[
"Manhattan",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Manhattan",
"time_zones",
"Central_Time_Zone"
],
[
"Memphis",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Memphis",
"time_zones",
"Central_Time_Zone"
],
[
"Michigan",
"adjoins",
"Wisconsin"
],
[
"Michigan",
"time_zones",
"Central_Time_Zone"
],
[
"Midland",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Midland",
"time_zones",
"Central_Time_Zone"
],
[
"Milwaukee",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Milwaukee",
"state",
"Wisconsin"
],
[
"Milwaukee",
"time_zones",
"Central_Time_Zone"
],
[
"Minneapolis",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Minneapolis",
"time_zones",
"Central_Time_Zone"
],
[
"Minnesota",
"adjoins",
"Wisconsin"
],
[
"Minnesota",
"time_zones",
"Central_Time_Zone"
],
[
"Minot",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Minot",
"time_zones",
"Central_Time_Zone"
],
[
"Montgomery_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Montgomery_County",
"time_zones",
"Central_Time_Zone"
],
[
"New_Orleans",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"New_Orleans",
"time_zones",
"Central_Time_Zone"
],
[
"Norman",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Norman",
"time_zones",
"Central_Time_Zone"
],
[
"Oklahoma_City",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Oklahoma_City",
"time_zones",
"Central_Time_Zone"
],
[
"Omaha",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Omaha",
"time_zones",
"Central_Time_Zone"
],
[
"Owensboro",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Owensboro",
"time_zones",
"Central_Time_Zone"
],
[
"Plano",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Plano",
"time_zones",
"Central_Time_Zone"
],
[
"Polk_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Polk_County",
"time_zones",
"Central_Time_Zone"
],
[
"Port_Arthur",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Port_Arthur",
"time_zones",
"Central_Time_Zone"
],
[
"Post-hardcore",
"parent_genre",
"Post-punk"
],
[
"Post-hardcore",
"parent_genre",
"Punk_rock"
],
[
"Post-punk",
"artists",
"Adam_Ant"
],
[
"Post-punk",
"artists",
"Elvis_Costello"
],
[
"Post-punk",
"artists",
"Josh_Freese"
],
[
"Post-punk",
"artists",
"Lupe_Fiasco"
],
[
"Post-punk",
"artists",
"Mike_Watt"
],
[
"Post-punk",
"artists",
"Morrissey"
],
[
"Post-punk",
"artists",
"Sting"
],
[
"Post-punk",
"parent_genre",
"Punk_rock"
],
[
"Punk_rock",
"artists",
"Adam_Ant"
],
[
"Punk_rock",
"artists",
"Elvis_Costello"
],
[
"Punk_rock",
"artists",
"Greg_Graffin"
],
[
"Punk_rock",
"artists",
"Josh_Freese"
],
[
"Punk_rock",
"artists",
"Lupe_Fiasco"
],
[
"Punk_rock",
"artists",
"Mike_Watt"
],
[
"Punk_rock",
"artists",
"Morrissey"
],
[
"Punk_rock",
"artists",
"Sting"
],
[
"Punk_rock",
"artists",
"Tom_Morello"
],
[
"Punk_rock",
"parent_genre",
"Rock_music"
],
[
"Racine",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Racine",
"time_zones",
"Central_Time_Zone"
],
[
"Rochester",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Rochester",
"time_zones",
"Central_Time_Zone"
],
[
"Rock_music",
"parent_genre",
"Folk_music"
],
[
"San_Antonio",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"San_Antonio",
"time_zones",
"Central_Time_Zone"
],
[
"Shelby_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Shelby_County",
"time_zones",
"Central_Time_Zone"
],
[
"Shreveport",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Shreveport",
"time_zones",
"Central_Time_Zone"
],
[
"Silver_Spring",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Sioux_Falls",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Sioux_Falls",
"time_zones",
"Central_Time_Zone"
],
[
"Springfield",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Springfield",
"time_zones",
"Central_Time_Zone"
],
[
"St._Louis",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"St._Louis",
"time_zones",
"Central_Time_Zone"
],
[
"Tori_Amos",
"location",
"Baltimore"
],
[
"Tori_Amos",
"location",
"Los_Angeles"
],
[
"Tori_Amos",
"location",
"Silver_Spring"
],
[
"Tori_Amos",
"location",
"Washington,_D.C."
],
[
"Tulsa",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Tulsa",
"time_zones",
"Central_Time_Zone"
],
[
"Waco",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Waco",
"time_zones",
"Central_Time_Zone"
],
[
"Washington,_D.C.",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Waterloo",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Waterloo",
"time_zones",
"Central_Time_Zone"
],
[
"Wichita",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Wichita",
"time_zones",
"Central_Time_Zone"
],
[
"Wisconsin",
"adjoins",
"Illinois"
],
[
"Wisconsin",
"adjoins",
"Minnesota"
],
[
"Wisconsin",
"capital",
"Madison"
],
[
"Wisconsin",
"contains",
"Eau_Claire"
],
[
"Wisconsin",
"contains",
"Kenosha"
],
[
"Wisconsin",
"contains",
"Madison"
],
[
"Wisconsin",
"contains",
"Milwaukee"
],
[
"Wisconsin",
"contains",
"Racine"
],
[
"Wisconsin",
"contains",
"Wood_County"
],
[
"Wisconsin",
"time_zones",
"Central_Time_Zone"
],
[
"Wood_County",
"source",
"United_States_Department_of_Housing_and_Urban_Development"
],
[
"Wood_County",
"time_zones",
"Central_Time_Zone"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
1917, Bachelor_of_Laws
6910, Malayali
12351, Murali
6308, Tasmania
9217, University_of_Tasmania
src, edge_attr, dst
1917, institution, 9217
1917, student, 12351
6910, people, 12351
9217, state_province_region, 6308
Question: In what context are Malayali and Tasmania connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Malayali",
"Tasmania"
],
"valid_edges": [
[
"Bachelor_of_Laws",
"institution",
"University_of_Tasmania"
],
[
"Bachelor_of_Laws",
"student",
"Murali"
],
[
"Malayali",
"people",
"Murali"
],
[
"University_of_Tasmania",
"state_province_region",
"Tasmania"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2870, 7th_United_States_Congress
12999, Bennington_College
12296, Holland_Taylor
10664, Legally_Blonde
3452, Vermont
src, edge_attr, dst
2870, district_represented, 3452
12999, state_province_region, 3452
12999, student, 12296
12296, acted_in, 10664
3452, contains, 12999
Question: How are 7th_United_States_Congress and Legally_Blonde related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"7th_United_States_Congress",
"Legally_Blonde"
],
"valid_edges": [
[
"7th_United_States_Congress",
"district_represented",
"Vermont"
],
[
"Bennington_College",
"state_province_region",
"Vermont"
],
[
"Bennington_College",
"student",
"Holland_Taylor"
],
[
"Holland_Taylor",
"acted_in",
"Legally_Blonde"
],
[
"Vermont",
"contains",
"Bennington_College"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
10860, Data_East
5089, Official_Website
6009, San_Salvador
src, edge_attr, dst
10860, webpage_category, 5089
6009, webpage_category, 5089
Question: In what context are Data_East and San_Salvador connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Data_East",
"San_Salvador"
],
"valid_edges": [
[
"Data_East",
"webpage_category",
"Official_Website"
],
[
"San_Salvador",
"webpage_category",
"Official_Website"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
834, 58th_Primetime_Emmy_Awards
12500, 64th_Primetime_Emmy_Awards
4516, 69th_Golden_Globe_Awards
648, Game_of_Thrones
13755, Homeland
10684, Howard_Gordon
6932, Ja_Rule
5438, Julian_Fellowes
13236, Primetime_Emmy_Award
4661, Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series
7587, Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special
11633, Queens
src, edge_attr, dst
4516, award_winner, 10684
4516, award_winner, 5438
4516, honored_for, 648
4516, honored_for, 13755
13755, award_honor_award, 4661
10684, award, 4661
10684, place_of_birth, 11633
6932, location, 11633
5438, award, 4661
5438, award, 7587
4661, award_winner, 10684
4661, category_of, 13236
4661, ceremony, 834
4661, ceremony, 12500
4661, nominated_for, 648
4661, nominated_for, 13755
7587, award_winner, 5438
7587, category_of, 13236
7587, ceremony, 834
7587, ceremony, 12500
11633, county_seat, 11633
Question: How are Ja_Rule and Julian_Fellowes related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Ja_Rule",
"Julian_Fellowes"
],
"valid_edges": [
[
"69th_Golden_Globe_Awards",
"award_winner",
"Howard_Gordon"
],
[
"69th_Golden_Globe_Awards",
"award_winner",
"Julian_Fellowes"
],
[
"69th_Golden_Globe_Awards",
"honored_for",
"Game_of_Thrones"
],
[
"69th_Golden_Globe_Awards",
"honored_for",
"Homeland"
],
[
"Homeland",
"award_honor_award",
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series"
],
[
"Howard_Gordon",
"award",
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series"
],
[
"Howard_Gordon",
"place_of_birth",
"Queens"
],
[
"Ja_Rule",
"location",
"Queens"
],
[
"Julian_Fellowes",
"award",
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series"
],
[
"Julian_Fellowes",
"award",
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series",
"award_winner",
"Howard_Gordon"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series",
"category_of",
"Primetime_Emmy_Award"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series",
"ceremony",
"58th_Primetime_Emmy_Awards"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series",
"ceremony",
"64th_Primetime_Emmy_Awards"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series",
"nominated_for",
"Game_of_Thrones"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Drama_Series",
"nominated_for",
"Homeland"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special",
"award_winner",
"Julian_Fellowes"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special",
"category_of",
"Primetime_Emmy_Award"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special",
"ceremony",
"58th_Primetime_Emmy_Awards"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special",
"ceremony",
"64th_Primetime_Emmy_Awards"
],
[
"Queens",
"county_seat",
"Queens"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
420, 13th_Screen_Actors_Guild_Awards
14052, Barbara_Stanwyck
10199, Chandra_Wilson
146, Erasmus_Hall_High_School
2347, Screen_Actors_Guild_Life_Achievement_Award
src, edge_attr, dst
420, award_winner, 10199
146, campuses, 146
146, student, 14052
2347, award_winner, 14052
2347, ceremony, 420
Question: How are Chandra_Wilson and Erasmus_Hall_High_School related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Chandra_Wilson",
"Erasmus_Hall_High_School"
],
"valid_edges": [
[
"13th_Screen_Actors_Guild_Awards",
"award_winner",
"Chandra_Wilson"
],
[
"Erasmus_Hall_High_School",
"campuses",
"Erasmus_Hall_High_School"
],
[
"Erasmus_Hall_High_School",
"student",
"Barbara_Stanwyck"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"Barbara_Stanwyck"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"ceremony",
"13th_Screen_Actors_Guild_Awards"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
600, George_Orwell
10254, Institute_for_Advanced_Study
9867, James_Monroe
10877, Noam_Chomsky
5489, Tuberculosis
src, edge_attr, dst
10254, educational_institution, 10254
10877, company, 10254
10877, influenced_by, 600
5489, people, 600
5489, people, 9867
Question: For what reason are Institute_for_Advanced_Study and James_Monroe associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Institute_for_Advanced_Study",
"James_Monroe"
],
"valid_edges": [
[
"Institute_for_Advanced_Study",
"educational_institution",
"Institute_for_Advanced_Study"
],
[
"Noam_Chomsky",
"company",
"Institute_for_Advanced_Study"
],
[
"Noam_Chomsky",
"influenced_by",
"George_Orwell"
],
[
"Tuberculosis",
"people",
"George_Orwell"
],
[
"Tuberculosis",
"people",
"James_Monroe"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
1102, Algeria
1172, Central_European_Time_Zone-US
8586, Monaco
12550, Ringo_Starr
11684, Sardinia
10975, Tunis
9051, Tunisia
2545, United_Artists_Records
src, edge_attr, dst
1102, adjoins, 9051
1102, time_zones, 1172
8586, time_zones, 1172
12550, location_of_ceremony, 8586
11684, adjoins, 9051
11684, time_zones, 1172
10975, country, 9051
10975, time_zones, 1172
9051, adjoins, 1102
9051, adjoins, 11684
9051, capital, 10975
9051, contains, 10975
9051, time_zones, 1172
2545, artist, 12550
Question: In what context are Tunis and United_Artists_Records connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Tunis",
"United_Artists_Records"
],
"valid_edges": [
[
"Algeria",
"adjoins",
"Tunisia"
],
[
"Algeria",
"time_zones",
"Central_European_Time_Zone-US"
],
[
"Monaco",
"time_zones",
"Central_European_Time_Zone-US"
],
[
"Ringo_Starr",
"location_of_ceremony",
"Monaco"
],
[
"Sardinia",
"adjoins",
"Tunisia"
],
[
"Sardinia",
"time_zones",
"Central_European_Time_Zone-US"
],
[
"Tunis",
"country",
"Tunisia"
],
[
"Tunis",
"time_zones",
"Central_European_Time_Zone-US"
],
[
"Tunisia",
"adjoins",
"Algeria"
],
[
"Tunisia",
"adjoins",
"Sardinia"
],
[
"Tunisia",
"capital",
"Tunis"
],
[
"Tunisia",
"contains",
"Tunis"
],
[
"Tunisia",
"time_zones",
"Central_European_Time_Zone-US"
],
[
"United_Artists_Records",
"artist",
"Ringo_Starr"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
12831, Character_Actor
3877, George_C._Scott
14203, Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Comedy_Series
5118, Tim_Allen
3481, Tony_Longo
src, edge_attr, dst
12831, profession, 12831
3877, award, 14203
5118, award, 14203
5118, profession, 12831
3481, profession, 12831
Question: How are George_C._Scott and Tony_Longo related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"George_C._Scott",
"Tony_Longo"
],
"valid_edges": [
[
"Character_Actor",
"profession",
"Character_Actor"
],
[
"George_C._Scott",
"award",
"Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Comedy_Series"
],
[
"Tim_Allen",
"award",
"Primetime_Emmy_Award_for_Outstanding_Lead_Actor_-_Comedy_Series"
],
[
"Tim_Allen",
"profession",
"Character_Actor"
],
[
"Tony_Longo",
"profession",
"Character_Actor"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
11015, Carroll_Clark
3026, James_Newton_Howard
8918, King_Kong
12357, Michael_Semanick
188, Ratatouille
9713, When_in_Rome
12567, Will_Arnett
src, edge_attr, dst
11015, film_sets_designed, 8918
3026, nominated_for, 8918
8918, award_winner, 12357
8918, film_art_direction_by, 11015
8918, film_music, 3026
12357, nominated_for, 8918
12357, nominated_for, 188
188, crewmember, 12357
9713, film_music, 3026
12567, acted_in, 188
12567, acted_in, 9713
Question: For what reason are Carroll_Clark and Will_Arnett associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Carroll_Clark",
"Will_Arnett"
],
"valid_edges": [
[
"Carroll_Clark",
"film_sets_designed",
"King_Kong"
],
[
"James_Newton_Howard",
"nominated_for",
"King_Kong"
],
[
"King_Kong",
"award_winner",
"Michael_Semanick"
],
[
"King_Kong",
"film_art_direction_by",
"Carroll_Clark"
],
[
"King_Kong",
"film_music",
"James_Newton_Howard"
],
[
"Michael_Semanick",
"nominated_for",
"King_Kong"
],
[
"Michael_Semanick",
"nominated_for",
"Ratatouille"
],
[
"Ratatouille",
"crewmember",
"Michael_Semanick"
],
[
"When_in_Rome",
"film_music",
"James_Newton_Howard"
],
[
"Will_Arnett",
"acted_in",
"Ratatouille"
],
[
"Will_Arnett",
"acted_in",
"When_in_Rome"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
5907, Akiva_Goldsman
2171, Batman_&_Robin
12727, Leonhard_Euler
932, Philosophy
12458, Wesleyan_University
src, edge_attr, dst
5907, nominated_for, 2171
2171, written_by, 5907
932, student, 12727
12458, major_field_of_study, 932
12458, student, 5907
Question: How are Batman_&_Robin and Leonhard_Euler related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Batman_&_Robin",
"Leonhard_Euler"
],
"valid_edges": [
[
"Akiva_Goldsman",
"nominated_for",
"Batman_&_Robin"
],
[
"Batman_&_Robin",
"written_by",
"Akiva_Goldsman"
],
[
"Philosophy",
"student",
"Leonhard_Euler"
],
[
"Wesleyan_University",
"major_field_of_study",
"Philosophy"
],
[
"Wesleyan_University",
"student",
"Akiva_Goldsman"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2774, Businessperson-GB
11823, Hannibal_Rising
2834, Merchant-GB
5001, Roger_Berlind
4577, The_Weinstein_Company
src, edge_attr, dst
2834, specialization_of, 2774
5001, award_nominee, 4577
5001, profession, 2774
4577, award_nominee, 5001
4577, film, 11823
4577, nominated_for, 11823
Question: For what reason are Hannibal_Rising and Merchant-GB associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Hannibal_Rising",
"Merchant-GB"
],
"valid_edges": [
[
"Merchant-GB",
"specialization_of",
"Businessperson-GB"
],
[
"Roger_Berlind",
"award_nominee",
"The_Weinstein_Company"
],
[
"Roger_Berlind",
"profession",
"Businessperson-GB"
],
[
"The_Weinstein_Company",
"award_nominee",
"Roger_Berlind"
],
[
"The_Weinstein_Company",
"film",
"Hannibal_Rising"
],
[
"The_Weinstein_Company",
"nominated_for",
"Hannibal_Rising"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
6617, (500)_Days_of_Summer
11505, A_Single_Man
7736, All_About_My_Mother
12471, Almost_Famous
2270, American_Splendor
7518, Avatar:_The_Last_Airbender
5282, Bill_Murray
9937, Boogie_Nights
13344, Breaking_Away
1938, California
11582, Capote
2056, Comedy-drama
7983, Crazy_Heart
8779, Crazy_in_Alabama
14264, David_Strathairn
2137, Donnie_Darko
4274, Edward_Scissorhands
4111, Far_from_Heaven
1518, Fast_Food_Nation
8027, Good_Night,_and_Good_Luck
6410, Google
10018, Gosford_Park
9129, Graham_Greene
4541, Harvey_Keitel
4975, House_of_Sand_and_Fog
10489, In_the_Bedroom
1721, Independent_Spirit_Award_for_Best_Male_Lead
7719, Kinsey
5161, Lars_and_the_Real_Girl
4140, Los_Angeles_Unified_School_District
8780, Lost_in_Translation
3526, Mattel
6007, Matthew_Modine
7001, Mexico
13364, Mumford
12030, National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress
9712, Patricia_Clarkson
8917, Pulp_Fiction
3290, Randy_Quaid
11538, Robert_Downey_Jr.
11663, Salvador
10533, Sega
10617, Shakespeare_in_Love
3969, She_Hate_Me
1374, Sideways
9723, Solitary_Man
8355, Spanish_Language
10599, Take_Shelter
6019, Taxi_Driver
8577, Thank_You_for_Smoking
2911, The_Devil_Wears_Prada
1252, The_Savages
13042, The_Station_Agent
11689, Transamerica
4087, Vicky_Cristina_Barcelona
1419, Volver
1004, Wonder_Boys
src, edge_attr, dst
6617, genre, 2056
11505, language, 8355
7736, genre, 2056
7736, language, 8355
12471, genre, 2056
2270, genre, 2056
7518, genre, 2056
7518, tv_program_languages, 8355
5282, award, 1721
5282, location, 1938
9937, award_honor_award, 12030
9937, genre, 2056
13344, genre, 2056
11582, award_honor_award, 1721
7983, award_honor_award, 1721
7983, language, 8355
8779, featured_film_locations, 1938
8779, genre, 2056
14264, award, 1721
14264, award_nominee, 9712
2137, genre, 2056
4274, genre, 2056
4111, award_honor_award, 12030
4111, award_winner, 9712
1518, genre, 2056
1518, language, 8355
6410, service_language, 8355
6410, state_province_region, 1938
10018, award_honor_award, 12030
10018, genre, 2056
9129, award, 1721
9129, award_nominee, 9712
4541, award, 1721
4541, location, 1938
1721, award_winner, 5282
1721, award_winner, 4541
1721, nominated_for, 6617
1721, nominated_for, 11505
1721, nominated_for, 2270
1721, nominated_for, 11582
1721, nominated_for, 2137
1721, nominated_for, 8027
1721, nominated_for, 4975
1721, nominated_for, 10489
1721, nominated_for, 7719
1721, nominated_for, 8780
1721, nominated_for, 8917
1721, nominated_for, 11663
1721, nominated_for, 10599
1721, nominated_for, 8577
1721, nominated_for, 1252
1721, nominated_for, 13042
1721, nominated_for, 4087
5161, genre, 2056
5161, language, 8355
4140, state_province_region, 1938
8780, award_honor_award, 1721
8780, genre, 2056
3526, service_language, 8355
3526, state_province_region, 1938
6007, award, 1721
6007, location, 1938
7001, adjoins, 1938
7001, official_language, 8355
13364, featured_film_locations, 1938
13364, genre, 2056
12030, award_winner, 9712
12030, nominated_for, 12471
12030, nominated_for, 9937
12030, nominated_for, 13344
12030, nominated_for, 11582
12030, nominated_for, 4274
12030, nominated_for, 4111
12030, nominated_for, 10018
12030, nominated_for, 4975
12030, nominated_for, 10489
12030, nominated_for, 7719
12030, nominated_for, 8917
12030, nominated_for, 10617
12030, nominated_for, 1374
12030, nominated_for, 10599
12030, nominated_for, 6019
12030, nominated_for, 2911
12030, nominated_for, 13042
12030, nominated_for, 4087
12030, nominated_for, 1004
9712, acted_in, 4111
9712, acted_in, 8027
9712, acted_in, 5161
9712, acted_in, 4087
9712, award, 12030
9712, award_nominee, 14264
9712, award_nominee, 9129
9712, award_nominee, 11538
9712, nominated_for, 4111
9712, nominated_for, 8027
9712, nominated_for, 13042
8917, award_honor_award, 1721
8917, language, 8355
3290, award, 1721
3290, location_of_ceremony, 1938
11538, award_nominee, 9712
11538, location, 1938
11663, award_honor_award, 1721
11663, language, 8355
10533, service_language, 8355
10533, state_province_region, 1938
10617, award_honor_award, 12030
10617, genre, 2056
3969, genre, 2056
3969, language, 8355
1374, award_honor_award, 1721
1374, award_honor_award, 12030
1374, genre, 2056
9723, genre, 2056
9723, language, 8355
8355, countries_spoken_in, 7001
8355, titles, 7736
8355, titles, 1419
10599, award_honor_award, 12030
6019, award_honor_award, 12030
6019, language, 8355
8577, genre, 2056
2911, award_honor_award, 12030
2911, genre, 2056
1252, award_honor_award, 1721
1252, genre, 2056
13042, award_honor_award, 12030
13042, award_winner, 9712
13042, genre, 2056
13042, language, 8355
11689, genre, 2056
11689, language, 8355
4087, language, 8355
1419, genre, 2056
1004, genre, 2056
Question: How are Los_Angeles_Unified_School_District and The_Station_Agent related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Los_Angeles_Unified_School_District",
"The_Station_Agent"
],
"valid_edges": [
[
"(500)_Days_of_Summer",
"genre",
"Comedy-drama"
],
[
"A_Single_Man",
"language",
"Spanish_Language"
],
[
"All_About_My_Mother",
"genre",
"Comedy-drama"
],
[
"All_About_My_Mother",
"language",
"Spanish_Language"
],
[
"Almost_Famous",
"genre",
"Comedy-drama"
],
[
"American_Splendor",
"genre",
"Comedy-drama"
],
[
"Avatar:_The_Last_Airbender",
"genre",
"Comedy-drama"
],
[
"Avatar:_The_Last_Airbender",
"tv_program_languages",
"Spanish_Language"
],
[
"Bill_Murray",
"award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Bill_Murray",
"location",
"California"
],
[
"Boogie_Nights",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Boogie_Nights",
"genre",
"Comedy-drama"
],
[
"Breaking_Away",
"genre",
"Comedy-drama"
],
[
"Capote",
"award_honor_award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Crazy_Heart",
"award_honor_award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Crazy_Heart",
"language",
"Spanish_Language"
],
[
"Crazy_in_Alabama",
"featured_film_locations",
"California"
],
[
"Crazy_in_Alabama",
"genre",
"Comedy-drama"
],
[
"David_Strathairn",
"award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"David_Strathairn",
"award_nominee",
"Patricia_Clarkson"
],
[
"Donnie_Darko",
"genre",
"Comedy-drama"
],
[
"Edward_Scissorhands",
"genre",
"Comedy-drama"
],
[
"Far_from_Heaven",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Far_from_Heaven",
"award_winner",
"Patricia_Clarkson"
],
[
"Fast_Food_Nation",
"genre",
"Comedy-drama"
],
[
"Fast_Food_Nation",
"language",
"Spanish_Language"
],
[
"Google",
"service_language",
"Spanish_Language"
],
[
"Google",
"state_province_region",
"California"
],
[
"Gosford_Park",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Gosford_Park",
"genre",
"Comedy-drama"
],
[
"Graham_Greene",
"award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Graham_Greene",
"award_nominee",
"Patricia_Clarkson"
],
[
"Harvey_Keitel",
"award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Harvey_Keitel",
"location",
"California"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"award_winner",
"Bill_Murray"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"award_winner",
"Harvey_Keitel"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"(500)_Days_of_Summer"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"A_Single_Man"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"American_Splendor"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Capote"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Donnie_Darko"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Good_Night,_and_Good_Luck"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"House_of_Sand_and_Fog"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"In_the_Bedroom"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Kinsey"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Lost_in_Translation"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Pulp_Fiction"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Salvador"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Take_Shelter"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Thank_You_for_Smoking"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"The_Savages"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"The_Station_Agent"
],
[
"Independent_Spirit_Award_for_Best_Male_Lead",
"nominated_for",
"Vicky_Cristina_Barcelona"
],
[
"Lars_and_the_Real_Girl",
"genre",
"Comedy-drama"
],
[
"Lars_and_the_Real_Girl",
"language",
"Spanish_Language"
],
[
"Los_Angeles_Unified_School_District",
"state_province_region",
"California"
],
[
"Lost_in_Translation",
"award_honor_award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Lost_in_Translation",
"genre",
"Comedy-drama"
],
[
"Mattel",
"service_language",
"Spanish_Language"
],
[
"Mattel",
"state_province_region",
"California"
],
[
"Matthew_Modine",
"award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Matthew_Modine",
"location",
"California"
],
[
"Mexico",
"adjoins",
"California"
],
[
"Mexico",
"official_language",
"Spanish_Language"
],
[
"Mumford",
"featured_film_locations",
"California"
],
[
"Mumford",
"genre",
"Comedy-drama"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"award_winner",
"Patricia_Clarkson"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Almost_Famous"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Boogie_Nights"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Breaking_Away"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Capote"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Edward_Scissorhands"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Far_from_Heaven"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Gosford_Park"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"House_of_Sand_and_Fog"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"In_the_Bedroom"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Kinsey"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Pulp_Fiction"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Shakespeare_in_Love"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Sideways"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Take_Shelter"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Taxi_Driver"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"The_Devil_Wears_Prada"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"The_Station_Agent"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Vicky_Cristina_Barcelona"
],
[
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress",
"nominated_for",
"Wonder_Boys"
],
[
"Patricia_Clarkson",
"acted_in",
"Far_from_Heaven"
],
[
"Patricia_Clarkson",
"acted_in",
"Good_Night,_and_Good_Luck"
],
[
"Patricia_Clarkson",
"acted_in",
"Lars_and_the_Real_Girl"
],
[
"Patricia_Clarkson",
"acted_in",
"Vicky_Cristina_Barcelona"
],
[
"Patricia_Clarkson",
"award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Patricia_Clarkson",
"award_nominee",
"David_Strathairn"
],
[
"Patricia_Clarkson",
"award_nominee",
"Graham_Greene"
],
[
"Patricia_Clarkson",
"award_nominee",
"Robert_Downey_Jr."
],
[
"Patricia_Clarkson",
"nominated_for",
"Far_from_Heaven"
],
[
"Patricia_Clarkson",
"nominated_for",
"Good_Night,_and_Good_Luck"
],
[
"Patricia_Clarkson",
"nominated_for",
"The_Station_Agent"
],
[
"Pulp_Fiction",
"award_honor_award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Pulp_Fiction",
"language",
"Spanish_Language"
],
[
"Randy_Quaid",
"award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Randy_Quaid",
"location_of_ceremony",
"California"
],
[
"Robert_Downey_Jr.",
"award_nominee",
"Patricia_Clarkson"
],
[
"Robert_Downey_Jr.",
"location",
"California"
],
[
"Salvador",
"award_honor_award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Salvador",
"language",
"Spanish_Language"
],
[
"Sega",
"service_language",
"Spanish_Language"
],
[
"Sega",
"state_province_region",
"California"
],
[
"Shakespeare_in_Love",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Shakespeare_in_Love",
"genre",
"Comedy-drama"
],
[
"She_Hate_Me",
"genre",
"Comedy-drama"
],
[
"She_Hate_Me",
"language",
"Spanish_Language"
],
[
"Sideways",
"award_honor_award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"Sideways",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Sideways",
"genre",
"Comedy-drama"
],
[
"Solitary_Man",
"genre",
"Comedy-drama"
],
[
"Solitary_Man",
"language",
"Spanish_Language"
],
[
"Spanish_Language",
"countries_spoken_in",
"Mexico"
],
[
"Spanish_Language",
"titles",
"All_About_My_Mother"
],
[
"Spanish_Language",
"titles",
"Volver"
],
[
"Take_Shelter",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Taxi_Driver",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"Taxi_Driver",
"language",
"Spanish_Language"
],
[
"Thank_You_for_Smoking",
"genre",
"Comedy-drama"
],
[
"The_Devil_Wears_Prada",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"The_Devil_Wears_Prada",
"genre",
"Comedy-drama"
],
[
"The_Savages",
"award_honor_award",
"Independent_Spirit_Award_for_Best_Male_Lead"
],
[
"The_Savages",
"genre",
"Comedy-drama"
],
[
"The_Station_Agent",
"award_honor_award",
"National_Society_of_Film_Critics_Award_for_Best_Supporting_Actress"
],
[
"The_Station_Agent",
"award_winner",
"Patricia_Clarkson"
],
[
"The_Station_Agent",
"genre",
"Comedy-drama"
],
[
"The_Station_Agent",
"language",
"Spanish_Language"
],
[
"Transamerica",
"genre",
"Comedy-drama"
],
[
"Transamerica",
"language",
"Spanish_Language"
],
[
"Vicky_Cristina_Barcelona",
"language",
"Spanish_Language"
],
[
"Volver",
"genre",
"Comedy-drama"
],
[
"Wonder_Boys",
"genre",
"Comedy-drama"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3699, Bachelor's_degree
2778, Bachelor_of_Arts
11778, Bachelor_of_Science
6886, Brian_Dennehy
7796, Connecticut
740, Dana_Delany
10880, Djibouti
2218, East_Africa_Time_Zone-US
13846, Economics
6312, English_Literature
11857, English_Studies
5517, Ethiopia
1333, Eva_Longoria
5343, Film
5140, Irish_American
947, Kenya
3328, Master's_Degree
901, Master_of_Arts
998, Mathematics
2997, Mogadishu
9835, President
12609, Somalia
8273, Stamford
3867, Theatre
12458, Wesleyan_University
src, edge_attr, dst
3699, institution, 12458
3699, major_field_of_study, 3867
2778, institution, 12458
2778, major_field_of_study, 3867
11778, major_field_of_study, 3867
11778, student, 1333
7796, contains, 8273
7796, contains, 12458
740, location, 8273
10880, adjoins, 12609
10880, exported_to, 12609
10880, time_zones, 2218
13846, major_field_of_study, 3867
11857, major_field_of_study, 3867
5517, adjoins, 12609
5517, time_zones, 2218
1333, award_nominee, 740
5343, major_field_of_study, 3867
5140, people, 6886
5140, people, 740
947, time_zones, 2218
3328, institution, 12458
3328, major_field_of_study, 3867
901, institution, 12458
901, major_field_of_study, 3867
2997, time_zones, 2218
9835, jurisdiction_of_office, 12609
9835, organization, 12458
12609, adjoins, 10880
12609, adjoins, 5517
12609, adjoins, 947
12609, capital, 2997
12609, time_zones, 2218
8273, place, 8273
3867, major_field_of_study, 13846
3867, major_field_of_study, 6312
3867, major_field_of_study, 5343
3867, major_field_of_study, 998
3867, student, 6886
3867, student, 740
12458, campuses, 12458
12458, educational_institution, 12458
12458, major_field_of_study, 13846
12458, major_field_of_study, 6312
12458, major_field_of_study, 11857
12458, major_field_of_study, 5343
12458, major_field_of_study, 998
12458, major_field_of_study, 3867
12458, student, 740
Question: For what reason are Dana_Delany and Mogadishu associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Dana_Delany",
"Mogadishu"
],
"valid_edges": [
[
"Bachelor's_degree",
"institution",
"Wesleyan_University"
],
[
"Bachelor's_degree",
"major_field_of_study",
"Theatre"
],
[
"Bachelor_of_Arts",
"institution",
"Wesleyan_University"
],
[
"Bachelor_of_Arts",
"major_field_of_study",
"Theatre"
],
[
"Bachelor_of_Science",
"major_field_of_study",
"Theatre"
],
[
"Bachelor_of_Science",
"student",
"Eva_Longoria"
],
[
"Connecticut",
"contains",
"Stamford"
],
[
"Connecticut",
"contains",
"Wesleyan_University"
],
[
"Dana_Delany",
"location",
"Stamford"
],
[
"Djibouti",
"adjoins",
"Somalia"
],
[
"Djibouti",
"exported_to",
"Somalia"
],
[
"Djibouti",
"time_zones",
"East_Africa_Time_Zone-US"
],
[
"Economics",
"major_field_of_study",
"Theatre"
],
[
"English_Studies",
"major_field_of_study",
"Theatre"
],
[
"Ethiopia",
"adjoins",
"Somalia"
],
[
"Ethiopia",
"time_zones",
"East_Africa_Time_Zone-US"
],
[
"Eva_Longoria",
"award_nominee",
"Dana_Delany"
],
[
"Film",
"major_field_of_study",
"Theatre"
],
[
"Irish_American",
"people",
"Brian_Dennehy"
],
[
"Irish_American",
"people",
"Dana_Delany"
],
[
"Kenya",
"time_zones",
"East_Africa_Time_Zone-US"
],
[
"Master's_Degree",
"institution",
"Wesleyan_University"
],
[
"Master's_Degree",
"major_field_of_study",
"Theatre"
],
[
"Master_of_Arts",
"institution",
"Wesleyan_University"
],
[
"Master_of_Arts",
"major_field_of_study",
"Theatre"
],
[
"Mogadishu",
"time_zones",
"East_Africa_Time_Zone-US"
],
[
"President",
"jurisdiction_of_office",
"Somalia"
],
[
"President",
"organization",
"Wesleyan_University"
],
[
"Somalia",
"adjoins",
"Djibouti"
],
[
"Somalia",
"adjoins",
"Ethiopia"
],
[
"Somalia",
"adjoins",
"Kenya"
],
[
"Somalia",
"capital",
"Mogadishu"
],
[
"Somalia",
"time_zones",
"East_Africa_Time_Zone-US"
],
[
"Stamford",
"place",
"Stamford"
],
[
"Theatre",
"major_field_of_study",
"Economics"
],
[
"Theatre",
"major_field_of_study",
"English_Literature"
],
[
"Theatre",
"major_field_of_study",
"Film"
],
[
"Theatre",
"major_field_of_study",
"Mathematics"
],
[
"Theatre",
"student",
"Brian_Dennehy"
],
[
"Theatre",
"student",
"Dana_Delany"
],
[
"Wesleyan_University",
"campuses",
"Wesleyan_University"
],
[
"Wesleyan_University",
"educational_institution",
"Wesleyan_University"
],
[
"Wesleyan_University",
"major_field_of_study",
"Economics"
],
[
"Wesleyan_University",
"major_field_of_study",
"English_Literature"
],
[
"Wesleyan_University",
"major_field_of_study",
"English_Studies"
],
[
"Wesleyan_University",
"major_field_of_study",
"Film"
],
[
"Wesleyan_University",
"major_field_of_study",
"Mathematics"
],
[
"Wesleyan_University",
"major_field_of_study",
"Theatre"
],
[
"Wesleyan_University",
"student",
"Dana_Delany"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
4622, Ed_Wood
12805, Iron_Man_2
13214, London_Film_Critics_Circle_Award_for_Actor_of_the_Year
8951, Mickey_Rourke
5613, Vincent_D'Onofrio
src, edge_attr, dst
4622, award_honor_award, 13214
8951, acted_in, 12805
8951, award, 13214
8951, nominated_for, 12805
5613, acted_in, 4622
Question: For what reason are Iron_Man_2 and Vincent_D'Onofrio associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Iron_Man_2",
"Vincent_D'Onofrio"
],
"valid_edges": [
[
"Ed_Wood",
"award_honor_award",
"London_Film_Critics_Circle_Award_for_Actor_of_the_Year"
],
[
"Mickey_Rourke",
"acted_in",
"Iron_Man_2"
],
[
"Mickey_Rourke",
"award",
"London_Film_Critics_Circle_Award_for_Actor_of_the_Year"
],
[
"Mickey_Rourke",
"nominated_for",
"Iron_Man_2"
],
[
"Vincent_D'Onofrio",
"acted_in",
"Ed_Wood"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3972, 2K_Games
7438, Band_of_Brothers
9357, Dutch_Language
7587, Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special
7746, Terrence_McNally
src, edge_attr, dst
3972, service_language, 9357
7438, tv_program_languages, 9357
7587, award_winner, 7746
7587, nominated_for, 7438
7746, award, 7587
Question: How are 2K_Games and Terrence_McNally related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"2K_Games",
"Terrence_McNally"
],
"valid_edges": [
[
"2K_Games",
"service_language",
"Dutch_Language"
],
[
"Band_of_Brothers",
"tv_program_languages",
"Dutch_Language"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special",
"award_winner",
"Terrence_McNally"
],
[
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special",
"nominated_for",
"Band_of_Brothers"
],
[
"Terrence_McNally",
"award",
"Primetime_Emmy_Award_for_Outstanding_Writing_-_Miniseries,_Movie_or_Dramatic_Special"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
420, 13th_Screen_Actors_Guild_Awards
7760, 28th_Academy_Awards
3158, 36th_Academy_Awards
9976, Academy_Award_for_Best_Story
3596, Ernest_Borgnine
7508, Jack_Lemmon
1849, James_Cagney
13290, James_Wong_Howe
2347, Screen_Actors_Guild_Life_Achievement_Award
9156, Sidney_Poitier
7114, Yankee_Doodle_Dandy
src, edge_attr, dst
7760, award_winner, 3596
7760, award_winner, 7508
7760, award_winner, 13290
3158, award_winner, 13290
3158, award_winner, 9156
9976, ceremony, 7760
9976, nominated_for, 7114
1849, acted_in, 7114
1849, nominated_for, 7114
2347, award_winner, 3596
2347, award_winner, 7508
2347, award_winner, 1849
2347, award_winner, 9156
2347, ceremony, 420
7114, award_winner, 1849
7114, cinematography, 13290
Question: In what context are 13th_Screen_Actors_Guild_Awards and James_Wong_Howe connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"13th_Screen_Actors_Guild_Awards",
"James_Wong_Howe"
],
"valid_edges": [
[
"28th_Academy_Awards",
"award_winner",
"Ernest_Borgnine"
],
[
"28th_Academy_Awards",
"award_winner",
"Jack_Lemmon"
],
[
"28th_Academy_Awards",
"award_winner",
"James_Wong_Howe"
],
[
"36th_Academy_Awards",
"award_winner",
"James_Wong_Howe"
],
[
"36th_Academy_Awards",
"award_winner",
"Sidney_Poitier"
],
[
"Academy_Award_for_Best_Story",
"ceremony",
"28th_Academy_Awards"
],
[
"Academy_Award_for_Best_Story",
"nominated_for",
"Yankee_Doodle_Dandy"
],
[
"James_Cagney",
"acted_in",
"Yankee_Doodle_Dandy"
],
[
"James_Cagney",
"nominated_for",
"Yankee_Doodle_Dandy"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"Ernest_Borgnine"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"Jack_Lemmon"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"James_Cagney"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"Sidney_Poitier"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"ceremony",
"13th_Screen_Actors_Guild_Awards"
],
[
"Yankee_Doodle_Dandy",
"award_winner",
"James_Cagney"
],
[
"Yankee_Doodle_Dandy",
"cinematography",
"James_Wong_Howe"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2014, 1948_Summer_Olympics
4710, 1964_Summer_Olympics
6695, Abraham_Lincoln:_Vampire_Hunter
6837, Armenia
6745, Canoe_Sprint
11028, Ecuador
2206, Eventing
10261, Final_Destination_5
4650, Greco-Roman_wrestling
6256, Hellboy
5679, Home_Alone
2978, Ice_Age:_Continental_Drift
1395, It
997, Nigeria
11083, Presidential_system
6802, Supernatural
62, Taekwondo
2302, The_Hunger_Games
14171, Trinidad_and_Tobago
src, edge_attr, dst
2014, sports, 6745
2014, sports, 2206
2014, sports, 4650
4710, sports, 6745
4710, sports, 2206
4710, sports, 4650
6695, film_release_region, 6837
6695, film_release_region, 11028
6837, form_of_government, 11083
6745, country, 6837
6745, country, 11028
11028, form_of_government, 11083
2206, country, 11028
10261, film_release_region, 6837
10261, genre, 6802
4650, country, 6837
4650, country, 11028
4650, country, 997
6256, film_release_region, 11028
6256, film_release_region, 997
6256, genre, 6802
5679, film_release_region, 11028
5679, film_release_region, 997
2978, film_release_region, 6837
2978, film_release_region, 11028
1395, genre, 6802
997, form_of_government, 11083
997, olympics, 4710
62, country, 6837
62, country, 997
2302, film_release_region, 6837
2302, film_release_region, 11028
14171, olympics, 2014
14171, olympics, 4710
Question: For what reason are Greco-Roman_wrestling and It associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Greco-Roman_wrestling",
"It"
],
"valid_edges": [
[
"1948_Summer_Olympics",
"sports",
"Canoe_Sprint"
],
[
"1948_Summer_Olympics",
"sports",
"Eventing"
],
[
"1948_Summer_Olympics",
"sports",
"Greco-Roman_wrestling"
],
[
"1964_Summer_Olympics",
"sports",
"Canoe_Sprint"
],
[
"1964_Summer_Olympics",
"sports",
"Eventing"
],
[
"1964_Summer_Olympics",
"sports",
"Greco-Roman_wrestling"
],
[
"Abraham_Lincoln:_Vampire_Hunter",
"film_release_region",
"Armenia"
],
[
"Abraham_Lincoln:_Vampire_Hunter",
"film_release_region",
"Ecuador"
],
[
"Armenia",
"form_of_government",
"Presidential_system"
],
[
"Canoe_Sprint",
"country",
"Armenia"
],
[
"Canoe_Sprint",
"country",
"Ecuador"
],
[
"Ecuador",
"form_of_government",
"Presidential_system"
],
[
"Eventing",
"country",
"Ecuador"
],
[
"Final_Destination_5",
"film_release_region",
"Armenia"
],
[
"Final_Destination_5",
"genre",
"Supernatural"
],
[
"Greco-Roman_wrestling",
"country",
"Armenia"
],
[
"Greco-Roman_wrestling",
"country",
"Ecuador"
],
[
"Greco-Roman_wrestling",
"country",
"Nigeria"
],
[
"Hellboy",
"film_release_region",
"Ecuador"
],
[
"Hellboy",
"film_release_region",
"Nigeria"
],
[
"Hellboy",
"genre",
"Supernatural"
],
[
"Home_Alone",
"film_release_region",
"Ecuador"
],
[
"Home_Alone",
"film_release_region",
"Nigeria"
],
[
"Ice_Age:_Continental_Drift",
"film_release_region",
"Armenia"
],
[
"Ice_Age:_Continental_Drift",
"film_release_region",
"Ecuador"
],
[
"It",
"genre",
"Supernatural"
],
[
"Nigeria",
"form_of_government",
"Presidential_system"
],
[
"Nigeria",
"olympics",
"1964_Summer_Olympics"
],
[
"Taekwondo",
"country",
"Armenia"
],
[
"Taekwondo",
"country",
"Nigeria"
],
[
"The_Hunger_Games",
"film_release_region",
"Armenia"
],
[
"The_Hunger_Games",
"film_release_region",
"Ecuador"
],
[
"Trinidad_and_Tobago",
"olympics",
"1948_Summer_Olympics"
],
[
"Trinidad_and_Tobago",
"olympics",
"1964_Summer_Olympics"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2611, Asian_Development_Bank
2143, Kandy
8964, Manisha_Koirala
6962, Nepal
10543, Sri_Lanka
src, edge_attr, dst
8964, nationality, 6962
6962, organization, 2611
10543, contains, 2143
10543, organization, 2611
Question: How are Kandy and Manisha_Koirala related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Kandy",
"Manisha_Koirala"
],
"valid_edges": [
[
"Manisha_Koirala",
"nationality",
"Nepal"
],
[
"Nepal",
"organization",
"Asian_Development_Bank"
],
[
"Sri_Lanka",
"contains",
"Kandy"
],
[
"Sri_Lanka",
"organization",
"Asian_Development_Bank"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
6904, Grammy_Award_for_Record_of_the_Year
7589, MTV2
3370, Nickelback
7264, Post-grunge
8807, The_Offspring
src, edge_attr, dst
7589, artist, 8807
3370, award, 6904
7264, artists, 3370
7264, artists, 8807
Question: For what reason are Grammy_Award_for_Record_of_the_Year and MTV2 associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Grammy_Award_for_Record_of_the_Year",
"MTV2"
],
"valid_edges": [
[
"MTV2",
"artist",
"The_Offspring"
],
[
"Nickelback",
"award",
"Grammy_Award_for_Record_of_the_Year"
],
[
"Post-grunge",
"artists",
"Nickelback"
],
[
"Post-grunge",
"artists",
"The_Offspring"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
4265, Adult_contemporary_music
1385, Angela_Lansbury
11649, Barry_Manilow
9751, Bette_Midler
5504, Bill_Maher
12164, Carol_Burnett
11523, Chris_Rock
9980, Conan_O'Brien
1913, Danny_Kaye
8097, David_Letterman
5163, Dennis_Miller
6166, Eddie_Izzard
11542, Folk_music
13266, George_Burns
9281, George_Carlin
13670, Grammy_Award_for_Best_Mexican/Mexican-American_Album
13834, Hepatitis
8139, Hugh_Jackman
1609, Jay_Leno
8795, Judy_Garland
4988, Lily_Tomlin
4699, Linda_Ronstadt
7225, Liza_Minnelli
2326, Los_Lobos
12349, Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program
5551, Ray_Charles
12236, Richard_Pryor
2347, Screen_Actors_Guild_Life_Achievement_Award
5676, Sheena_Easton
10142, Special_Tony_Award
6237, Stephen_Colbert
9899, Steve_Allen
src, edge_attr, dst
4265, artists, 4699
4265, artists, 5676
1385, award, 12349
11649, award, 12349
9751, award, 12349
5504, award, 12349
5504, influenced_by, 9281
11523, award, 12349
11523, influenced_by, 9281
9980, influenced_by, 1913
9980, influenced_by, 8097
9980, influenced_by, 1609
9980, influenced_by, 9899
9980, participant, 1609
1913, award, 12349
8097, award, 12349
5163, award, 12349
5163, influenced_by, 9281
6166, award, 12349
6166, influenced_by, 9281
11542, artists, 4699
11542, artists, 2326
13266, award, 12349
9281, award, 12349
9281, influenced_by, 1913
9281, influenced_by, 12236
13670, award_winner, 4699
13670, award_winner, 5676
13834, people, 1913
13834, people, 5551
8139, award, 12349
1609, award, 12349
1609, influenced_by, 9281
1609, participant, 9980
8795, award, 12349
4988, award, 12349
4699, award, 12349
7225, award, 12349
2326, award, 13670
12349, award_winner, 11649
12349, award_winner, 12164
12349, award_winner, 1913
12349, award_winner, 6166
12349, award_winner, 8139
12349, award_winner, 4699
5551, award, 12349
12236, award, 12349
12236, influenced_by, 9281
2347, award_winner, 1385
2347, award_winner, 1913
2347, award_winner, 13266
10142, award_winner, 11649
10142, award_winner, 9751
10142, award_winner, 12164
10142, award_winner, 1913
10142, award_winner, 8139
10142, award_winner, 8795
10142, award_winner, 4988
10142, award_winner, 7225
6237, award, 12349
6237, influenced_by, 9281
9899, award, 12349
Question: How are Danny_Kaye and Grammy_Award_for_Best_Mexican/Mexican-American_Album related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Danny_Kaye",
"Grammy_Award_for_Best_Mexican/Mexican-American_Album"
],
"valid_edges": [
[
"Adult_contemporary_music",
"artists",
"Linda_Ronstadt"
],
[
"Adult_contemporary_music",
"artists",
"Sheena_Easton"
],
[
"Angela_Lansbury",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Barry_Manilow",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Bette_Midler",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Bill_Maher",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Bill_Maher",
"influenced_by",
"George_Carlin"
],
[
"Chris_Rock",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Chris_Rock",
"influenced_by",
"George_Carlin"
],
[
"Conan_O'Brien",
"influenced_by",
"Danny_Kaye"
],
[
"Conan_O'Brien",
"influenced_by",
"David_Letterman"
],
[
"Conan_O'Brien",
"influenced_by",
"Jay_Leno"
],
[
"Conan_O'Brien",
"influenced_by",
"Steve_Allen"
],
[
"Conan_O'Brien",
"participant",
"Jay_Leno"
],
[
"Danny_Kaye",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"David_Letterman",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Dennis_Miller",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Dennis_Miller",
"influenced_by",
"George_Carlin"
],
[
"Eddie_Izzard",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Eddie_Izzard",
"influenced_by",
"George_Carlin"
],
[
"Folk_music",
"artists",
"Linda_Ronstadt"
],
[
"Folk_music",
"artists",
"Los_Lobos"
],
[
"George_Burns",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"George_Carlin",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"George_Carlin",
"influenced_by",
"Danny_Kaye"
],
[
"George_Carlin",
"influenced_by",
"Richard_Pryor"
],
[
"Grammy_Award_for_Best_Mexican/Mexican-American_Album",
"award_winner",
"Linda_Ronstadt"
],
[
"Grammy_Award_for_Best_Mexican/Mexican-American_Album",
"award_winner",
"Sheena_Easton"
],
[
"Hepatitis",
"people",
"Danny_Kaye"
],
[
"Hepatitis",
"people",
"Ray_Charles"
],
[
"Hugh_Jackman",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Jay_Leno",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Jay_Leno",
"influenced_by",
"George_Carlin"
],
[
"Jay_Leno",
"participant",
"Conan_O'Brien"
],
[
"Judy_Garland",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Lily_Tomlin",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Linda_Ronstadt",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Liza_Minnelli",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Los_Lobos",
"award",
"Grammy_Award_for_Best_Mexican/Mexican-American_Album"
],
[
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program",
"award_winner",
"Barry_Manilow"
],
[
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program",
"award_winner",
"Carol_Burnett"
],
[
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program",
"award_winner",
"Danny_Kaye"
],
[
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program",
"award_winner",
"Eddie_Izzard"
],
[
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program",
"award_winner",
"Hugh_Jackman"
],
[
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program",
"award_winner",
"Linda_Ronstadt"
],
[
"Ray_Charles",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Richard_Pryor",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Richard_Pryor",
"influenced_by",
"George_Carlin"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"Angela_Lansbury"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"Danny_Kaye"
],
[
"Screen_Actors_Guild_Life_Achievement_Award",
"award_winner",
"George_Burns"
],
[
"Special_Tony_Award",
"award_winner",
"Barry_Manilow"
],
[
"Special_Tony_Award",
"award_winner",
"Bette_Midler"
],
[
"Special_Tony_Award",
"award_winner",
"Carol_Burnett"
],
[
"Special_Tony_Award",
"award_winner",
"Danny_Kaye"
],
[
"Special_Tony_Award",
"award_winner",
"Hugh_Jackman"
],
[
"Special_Tony_Award",
"award_winner",
"Judy_Garland"
],
[
"Special_Tony_Award",
"award_winner",
"Lily_Tomlin"
],
[
"Special_Tony_Award",
"award_winner",
"Liza_Minnelli"
],
[
"Stephen_Colbert",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
],
[
"Stephen_Colbert",
"influenced_by",
"George_Carlin"
],
[
"Steve_Allen",
"award",
"Primetime_Emmy_Award_for_Individual_Performance_-_Variety_Or_Music_Program"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2929, 11th_Satellite_Awards
4695, Akshay_Kumar
11510, Hinduism
6466, Kal_Penn
6462, Superman_IV:_The_Quest_For_Peace
2377, Superman_Returns
src, edge_attr, dst
2929, honored_for, 6462
2929, honored_for, 2377
4695, religion, 11510
6466, acted_in, 2377
6466, religion, 11510
6462, honored_for, 2377
6462, nominated_for, 2377
2377, honored_for, 6462
Question: How are Akshay_Kumar and Superman_IV:_The_Quest_For_Peace related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Akshay_Kumar",
"Superman_IV:_The_Quest_For_Peace"
],
"valid_edges": [
[
"11th_Satellite_Awards",
"honored_for",
"Superman_IV:_The_Quest_For_Peace"
],
[
"11th_Satellite_Awards",
"honored_for",
"Superman_Returns"
],
[
"Akshay_Kumar",
"religion",
"Hinduism"
],
[
"Kal_Penn",
"acted_in",
"Superman_Returns"
],
[
"Kal_Penn",
"religion",
"Hinduism"
],
[
"Superman_IV:_The_Quest_For_Peace",
"honored_for",
"Superman_Returns"
],
[
"Superman_IV:_The_Quest_For_Peace",
"nominated_for",
"Superman_Returns"
],
[
"Superman_Returns",
"honored_for",
"Superman_IV:_The_Quest_For_Peace"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3992, Alison_Krauss
9741, Grammy_Award_for_Best_Contemporary_Folk_Album
10961, Kevin_Corrigan
592, Robert_Plant
9633, Seven_Psychopaths
6247, Tom_Waits
src, edge_attr, dst
3992, award, 9741
3992, award_nominee, 592
3992, award_winner, 592
9741, award_winner, 3992
9741, award_winner, 592
9741, award_winner, 6247
10961, acted_in, 9633
592, award_winner, 3992
6247, acted_in, 9633
6247, award, 9741
Question: How are Alison_Krauss and Kevin_Corrigan related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Alison_Krauss",
"Kevin_Corrigan"
],
"valid_edges": [
[
"Alison_Krauss",
"award",
"Grammy_Award_for_Best_Contemporary_Folk_Album"
],
[
"Alison_Krauss",
"award_nominee",
"Robert_Plant"
],
[
"Alison_Krauss",
"award_winner",
"Robert_Plant"
],
[
"Grammy_Award_for_Best_Contemporary_Folk_Album",
"award_winner",
"Alison_Krauss"
],
[
"Grammy_Award_for_Best_Contemporary_Folk_Album",
"award_winner",
"Robert_Plant"
],
[
"Grammy_Award_for_Best_Contemporary_Folk_Album",
"award_winner",
"Tom_Waits"
],
[
"Kevin_Corrigan",
"acted_in",
"Seven_Psychopaths"
],
[
"Robert_Plant",
"award_winner",
"Alison_Krauss"
],
[
"Tom_Waits",
"acted_in",
"Seven_Psychopaths"
],
[
"Tom_Waits",
"award",
"Grammy_Award_for_Best_Contemporary_Folk_Album"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
4707, Cambridge
3638, Cartoonist
8839, King's_College,_Cambridge
2555, Richard_Donner
415, Sam_Means
src, edge_attr, dst
4707, contains, 8839
4707, place, 4707
8839, campuses, 8839
8839, citytown, 4707
8839, educational_institution, 8839
8839, student, 415
2555, profession, 3638
415, profession, 3638
Question: In what context are Cambridge and Richard_Donner connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Cambridge",
"Richard_Donner"
],
"valid_edges": [
[
"Cambridge",
"contains",
"King's_College,_Cambridge"
],
[
"Cambridge",
"place",
"Cambridge"
],
[
"King's_College,_Cambridge",
"campuses",
"King's_College,_Cambridge"
],
[
"King's_College,_Cambridge",
"citytown",
"Cambridge"
],
[
"King's_College,_Cambridge",
"educational_institution",
"King's_College,_Cambridge"
],
[
"King's_College,_Cambridge",
"student",
"Sam_Means"
],
[
"Richard_Donner",
"profession",
"Cartoonist"
],
[
"Sam_Means",
"profession",
"Cartoonist"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
3752, Flight
8023, Shortstop
7143, Texas_Rangers
13029, Walter_F._Parkes
3520, Yale_University
src, edge_attr, dst
3752, produced_by, 13029
8023, team, 7143
7143, school, 3520
3520, student, 13029
Question: In what context are Flight and Shortstop connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Flight",
"Shortstop"
],
"valid_edges": [
[
"Flight",
"produced_by",
"Walter_F._Parkes"
],
[
"Shortstop",
"team",
"Texas_Rangers"
],
[
"Texas_Rangers",
"school",
"Yale_University"
],
[
"Yale_University",
"student",
"Walter_F._Parkes"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
9562, ADO_Den_Haag
14073, AZ
8358, Athletic_Bilbao
1080, Bohemian_F.C.
1481, CFR_Cluj
10577, Chelsea_F.C.
3827, Chicago_Fire_Soccer_Club
2794, Clube_de_Regatas_do_Flamengo
4870, Collingwood_Football_Club
9400, De_Graafschap
5480, Droylsden_F.C.
7505, FC_Barcelona
11824, FC_Groningen
10087, FC_Levadia_Tallinn
5996, FC_Unirea_Urziceni
2031, FC_Utrecht
2262, FC_Zenit_Saint_Petersburg
3373, Feyenoord
1200, Forward
6597, Galatasaray_S.K.
858, Heracles_Almelo
186, Liverpool_F.C.
6553, NAC_Breda
10613, Nine_Inch_Nails
5089, Official_Website
1407, Olympique_de_Marseille
2739, Roda_JC_Kerkrade
5761, SC_Heerenveen
13049, Salavat_Yulaev_Ufa
13801, Shamrock_Rovers_F.C.
6900, Sociedade_Esportiva_Palmeiras
13186, Sparta_Rotterdam
2110, Tuvalu_national_football_team
8284, Vitesse
2881, Willem_II
src, edge_attr, dst
9562, football_roster_position, 1200
9562, position, 1200
9562, webpage_category, 5089
14073, position, 1200
14073, webpage_category, 5089
8358, position, 1200
8358, webpage_category, 5089
1080, football_roster_position, 1200
1080, position, 1200
1080, webpage_category, 5089
1481, football_roster_position, 1200
1481, position, 1200
1481, webpage_category, 5089
10577, football_roster_position, 1200
10577, webpage_category, 5089
3827, football_roster_position, 1200
3827, position, 1200
3827, webpage_category, 5089
2794, football_roster_position, 1200
2794, position, 1200
2794, webpage_category, 5089
4870, webpage_category, 5089
9400, position, 1200
9400, webpage_category, 5089
5480, football_roster_position, 1200
5480, position, 1200
5480, webpage_category, 5089
7505, position, 1200
7505, webpage_category, 5089
11824, football_roster_position, 1200
11824, position, 1200
11824, webpage_category, 5089
10087, football_roster_position, 1200
10087, position, 1200
10087, webpage_category, 5089
5996, football_roster_position, 1200
5996, position, 1200
5996, webpage_category, 5089
2031, football_roster_position, 1200
2031, position, 1200
2031, webpage_category, 5089
2262, football_roster_position, 1200
2262, webpage_category, 5089
3373, football_roster_position, 1200
3373, webpage_category, 5089
1200, team, 14073
1200, team, 8358
1200, team, 1080
1200, team, 1481
1200, team, 10577
1200, team, 3827
1200, team, 2794
1200, team, 4870
1200, team, 9400
1200, team, 5480
1200, team, 11824
1200, team, 10087
1200, team, 5996
1200, team, 2031
1200, team, 2262
1200, team, 3373
1200, team, 6597
1200, team, 858
1200, team, 186
1200, team, 1407
1200, team, 2739
1200, team, 13049
1200, team, 13801
1200, team, 6900
1200, team, 8284
1200, team, 2881
6597, webpage_category, 5089
858, football_roster_position, 1200
858, webpage_category, 5089
186, football_roster_position, 1200
186, position, 1200
186, webpage_category, 5089
6553, football_roster_position, 1200
6553, position, 1200
6553, webpage_category, 5089
10613, webpage_category, 5089
1407, football_roster_position, 1200
1407, position, 1200
1407, webpage_category, 5089
2739, football_roster_position, 1200
2739, position, 1200
2739, webpage_category, 5089
5761, position, 1200
5761, webpage_category, 5089
13049, hockey_position, 1200
13049, webpage_category, 5089
13801, football_roster_position, 1200
13801, position, 1200
13801, webpage_category, 5089
6900, football_roster_position, 1200
6900, position, 1200
6900, webpage_category, 5089
13186, football_roster_position, 1200
13186, position, 1200
13186, webpage_category, 5089
2110, position, 1200
8284, football_roster_position, 1200
8284, position, 1200
8284, webpage_category, 5089
2881, football_roster_position, 1200
2881, position, 1200
2881, webpage_category, 5089
Question: For what reason are Nine_Inch_Nails and Tuvalu_national_football_team associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Nine_Inch_Nails",
"Tuvalu_national_football_team"
],
"valid_edges": [
[
"ADO_Den_Haag",
"football_roster_position",
"Forward"
],
[
"ADO_Den_Haag",
"position",
"Forward"
],
[
"ADO_Den_Haag",
"webpage_category",
"Official_Website"
],
[
"AZ",
"position",
"Forward"
],
[
"AZ",
"webpage_category",
"Official_Website"
],
[
"Athletic_Bilbao",
"position",
"Forward"
],
[
"Athletic_Bilbao",
"webpage_category",
"Official_Website"
],
[
"Bohemian_F.C.",
"football_roster_position",
"Forward"
],
[
"Bohemian_F.C.",
"position",
"Forward"
],
[
"Bohemian_F.C.",
"webpage_category",
"Official_Website"
],
[
"CFR_Cluj",
"football_roster_position",
"Forward"
],
[
"CFR_Cluj",
"position",
"Forward"
],
[
"CFR_Cluj",
"webpage_category",
"Official_Website"
],
[
"Chelsea_F.C.",
"football_roster_position",
"Forward"
],
[
"Chelsea_F.C.",
"webpage_category",
"Official_Website"
],
[
"Chicago_Fire_Soccer_Club",
"football_roster_position",
"Forward"
],
[
"Chicago_Fire_Soccer_Club",
"position",
"Forward"
],
[
"Chicago_Fire_Soccer_Club",
"webpage_category",
"Official_Website"
],
[
"Clube_de_Regatas_do_Flamengo",
"football_roster_position",
"Forward"
],
[
"Clube_de_Regatas_do_Flamengo",
"position",
"Forward"
],
[
"Clube_de_Regatas_do_Flamengo",
"webpage_category",
"Official_Website"
],
[
"Collingwood_Football_Club",
"webpage_category",
"Official_Website"
],
[
"De_Graafschap",
"position",
"Forward"
],
[
"De_Graafschap",
"webpage_category",
"Official_Website"
],
[
"Droylsden_F.C.",
"football_roster_position",
"Forward"
],
[
"Droylsden_F.C.",
"position",
"Forward"
],
[
"Droylsden_F.C.",
"webpage_category",
"Official_Website"
],
[
"FC_Barcelona",
"position",
"Forward"
],
[
"FC_Barcelona",
"webpage_category",
"Official_Website"
],
[
"FC_Groningen",
"football_roster_position",
"Forward"
],
[
"FC_Groningen",
"position",
"Forward"
],
[
"FC_Groningen",
"webpage_category",
"Official_Website"
],
[
"FC_Levadia_Tallinn",
"football_roster_position",
"Forward"
],
[
"FC_Levadia_Tallinn",
"position",
"Forward"
],
[
"FC_Levadia_Tallinn",
"webpage_category",
"Official_Website"
],
[
"FC_Unirea_Urziceni",
"football_roster_position",
"Forward"
],
[
"FC_Unirea_Urziceni",
"position",
"Forward"
],
[
"FC_Unirea_Urziceni",
"webpage_category",
"Official_Website"
],
[
"FC_Utrecht",
"football_roster_position",
"Forward"
],
[
"FC_Utrecht",
"position",
"Forward"
],
[
"FC_Utrecht",
"webpage_category",
"Official_Website"
],
[
"FC_Zenit_Saint_Petersburg",
"football_roster_position",
"Forward"
],
[
"FC_Zenit_Saint_Petersburg",
"webpage_category",
"Official_Website"
],
[
"Feyenoord",
"football_roster_position",
"Forward"
],
[
"Feyenoord",
"webpage_category",
"Official_Website"
],
[
"Forward",
"team",
"AZ"
],
[
"Forward",
"team",
"Athletic_Bilbao"
],
[
"Forward",
"team",
"Bohemian_F.C."
],
[
"Forward",
"team",
"CFR_Cluj"
],
[
"Forward",
"team",
"Chelsea_F.C."
],
[
"Forward",
"team",
"Chicago_Fire_Soccer_Club"
],
[
"Forward",
"team",
"Clube_de_Regatas_do_Flamengo"
],
[
"Forward",
"team",
"Collingwood_Football_Club"
],
[
"Forward",
"team",
"De_Graafschap"
],
[
"Forward",
"team",
"Droylsden_F.C."
],
[
"Forward",
"team",
"FC_Groningen"
],
[
"Forward",
"team",
"FC_Levadia_Tallinn"
],
[
"Forward",
"team",
"FC_Unirea_Urziceni"
],
[
"Forward",
"team",
"FC_Utrecht"
],
[
"Forward",
"team",
"FC_Zenit_Saint_Petersburg"
],
[
"Forward",
"team",
"Feyenoord"
],
[
"Forward",
"team",
"Galatasaray_S.K."
],
[
"Forward",
"team",
"Heracles_Almelo"
],
[
"Forward",
"team",
"Liverpool_F.C."
],
[
"Forward",
"team",
"Olympique_de_Marseille"
],
[
"Forward",
"team",
"Roda_JC_Kerkrade"
],
[
"Forward",
"team",
"Salavat_Yulaev_Ufa"
],
[
"Forward",
"team",
"Shamrock_Rovers_F.C."
],
[
"Forward",
"team",
"Sociedade_Esportiva_Palmeiras"
],
[
"Forward",
"team",
"Vitesse"
],
[
"Forward",
"team",
"Willem_II"
],
[
"Galatasaray_S.K.",
"webpage_category",
"Official_Website"
],
[
"Heracles_Almelo",
"football_roster_position",
"Forward"
],
[
"Heracles_Almelo",
"webpage_category",
"Official_Website"
],
[
"Liverpool_F.C.",
"football_roster_position",
"Forward"
],
[
"Liverpool_F.C.",
"position",
"Forward"
],
[
"Liverpool_F.C.",
"webpage_category",
"Official_Website"
],
[
"NAC_Breda",
"football_roster_position",
"Forward"
],
[
"NAC_Breda",
"position",
"Forward"
],
[
"NAC_Breda",
"webpage_category",
"Official_Website"
],
[
"Nine_Inch_Nails",
"webpage_category",
"Official_Website"
],
[
"Olympique_de_Marseille",
"football_roster_position",
"Forward"
],
[
"Olympique_de_Marseille",
"position",
"Forward"
],
[
"Olympique_de_Marseille",
"webpage_category",
"Official_Website"
],
[
"Roda_JC_Kerkrade",
"football_roster_position",
"Forward"
],
[
"Roda_JC_Kerkrade",
"position",
"Forward"
],
[
"Roda_JC_Kerkrade",
"webpage_category",
"Official_Website"
],
[
"SC_Heerenveen",
"position",
"Forward"
],
[
"SC_Heerenveen",
"webpage_category",
"Official_Website"
],
[
"Salavat_Yulaev_Ufa",
"hockey_position",
"Forward"
],
[
"Salavat_Yulaev_Ufa",
"webpage_category",
"Official_Website"
],
[
"Shamrock_Rovers_F.C.",
"football_roster_position",
"Forward"
],
[
"Shamrock_Rovers_F.C.",
"position",
"Forward"
],
[
"Shamrock_Rovers_F.C.",
"webpage_category",
"Official_Website"
],
[
"Sociedade_Esportiva_Palmeiras",
"football_roster_position",
"Forward"
],
[
"Sociedade_Esportiva_Palmeiras",
"position",
"Forward"
],
[
"Sociedade_Esportiva_Palmeiras",
"webpage_category",
"Official_Website"
],
[
"Sparta_Rotterdam",
"football_roster_position",
"Forward"
],
[
"Sparta_Rotterdam",
"position",
"Forward"
],
[
"Sparta_Rotterdam",
"webpage_category",
"Official_Website"
],
[
"Tuvalu_national_football_team",
"position",
"Forward"
],
[
"Vitesse",
"football_roster_position",
"Forward"
],
[
"Vitesse",
"position",
"Forward"
],
[
"Vitesse",
"webpage_category",
"Official_Website"
],
[
"Willem_II",
"football_roster_position",
"Forward"
],
[
"Willem_II",
"position",
"Forward"
],
[
"Willem_II",
"webpage_category",
"Official_Website"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
4516, 69th_Golden_Globe_Awards
5273, Aidan_Gillen
0, British_people
12369, Central_School_of_Speech_and_Drama
5111, Dawn_French
7597, Donald_Sumpter
648, Game_of_Thrones
1476, Irish_people
12206, Jason_Momoa
5544, Jerome_Flynn
12948, Jimmy_Fallon
5072, Julian_Glover
9177, Lena_Headey
5889, Mark_Addy
11044, Peter_Dinklage
src, edge_attr, dst
4516, award_winner, 11044
4516, honored_for, 648
5273, award_nominee, 12206
5273, award_nominee, 5544
5273, award_nominee, 5072
5273, award_nominee, 9177
5273, award_nominee, 5889
5273, award_nominee, 11044
5273, nominated_for, 648
0, people, 7597
0, people, 9177
12369, student, 5111
12369, student, 5544
7597, award_nominee, 5273
7597, award_nominee, 12206
7597, award_nominee, 5544
7597, award_nominee, 9177
7597, award_nominee, 5889
648, actor, 5273
648, actor, 7597
648, actor, 12206
648, actor, 5544
648, actor, 5072
648, actor, 9177
648, actor, 5889
1476, people, 5273
1476, people, 5111
1476, people, 12206
1476, people, 12948
12206, award_nominee, 5273
12206, award_nominee, 5544
12206, award_nominee, 5072
12206, award_nominee, 9177
12206, award_nominee, 5889
5544, award_nominee, 5273
5544, award_nominee, 7597
5544, award_nominee, 12206
5544, award_nominee, 5072
5544, award_nominee, 5889
5544, award_nominee, 11044
5544, nominated_for, 648
5072, award_nominee, 5273
5072, award_nominee, 7597
5072, award_nominee, 12206
5072, award_nominee, 5544
5072, award_nominee, 9177
5072, award_nominee, 5889
5072, award_nominee, 11044
5072, nominated_for, 648
9177, award_nominee, 5273
9177, award_nominee, 5544
9177, award_nominee, 5072
9177, award_nominee, 5889
9177, award_nominee, 11044
9177, nominated_for, 648
5889, award_nominee, 7597
5889, award_nominee, 12206
5889, award_nominee, 9177
5889, award_nominee, 11044
5889, nominated_for, 648
11044, award_nominee, 5273
11044, award_nominee, 7597
11044, award_nominee, 12206
11044, award_nominee, 5544
11044, award_nominee, 5072
11044, award_nominee, 9177
11044, award_nominee, 5889
11044, nominated_for, 648
Question: In what context are Jerome_Flynn and Jimmy_Fallon connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Jerome_Flynn",
"Jimmy_Fallon"
],
"valid_edges": [
[
"69th_Golden_Globe_Awards",
"award_winner",
"Peter_Dinklage"
],
[
"69th_Golden_Globe_Awards",
"honored_for",
"Game_of_Thrones"
],
[
"Aidan_Gillen",
"award_nominee",
"Jason_Momoa"
],
[
"Aidan_Gillen",
"award_nominee",
"Jerome_Flynn"
],
[
"Aidan_Gillen",
"award_nominee",
"Julian_Glover"
],
[
"Aidan_Gillen",
"award_nominee",
"Lena_Headey"
],
[
"Aidan_Gillen",
"award_nominee",
"Mark_Addy"
],
[
"Aidan_Gillen",
"award_nominee",
"Peter_Dinklage"
],
[
"Aidan_Gillen",
"nominated_for",
"Game_of_Thrones"
],
[
"British_people",
"people",
"Donald_Sumpter"
],
[
"British_people",
"people",
"Lena_Headey"
],
[
"Central_School_of_Speech_and_Drama",
"student",
"Dawn_French"
],
[
"Central_School_of_Speech_and_Drama",
"student",
"Jerome_Flynn"
],
[
"Donald_Sumpter",
"award_nominee",
"Aidan_Gillen"
],
[
"Donald_Sumpter",
"award_nominee",
"Jason_Momoa"
],
[
"Donald_Sumpter",
"award_nominee",
"Jerome_Flynn"
],
[
"Donald_Sumpter",
"award_nominee",
"Lena_Headey"
],
[
"Donald_Sumpter",
"award_nominee",
"Mark_Addy"
],
[
"Game_of_Thrones",
"actor",
"Aidan_Gillen"
],
[
"Game_of_Thrones",
"actor",
"Donald_Sumpter"
],
[
"Game_of_Thrones",
"actor",
"Jason_Momoa"
],
[
"Game_of_Thrones",
"actor",
"Jerome_Flynn"
],
[
"Game_of_Thrones",
"actor",
"Julian_Glover"
],
[
"Game_of_Thrones",
"actor",
"Lena_Headey"
],
[
"Game_of_Thrones",
"actor",
"Mark_Addy"
],
[
"Irish_people",
"people",
"Aidan_Gillen"
],
[
"Irish_people",
"people",
"Dawn_French"
],
[
"Irish_people",
"people",
"Jason_Momoa"
],
[
"Irish_people",
"people",
"Jimmy_Fallon"
],
[
"Jason_Momoa",
"award_nominee",
"Aidan_Gillen"
],
[
"Jason_Momoa",
"award_nominee",
"Jerome_Flynn"
],
[
"Jason_Momoa",
"award_nominee",
"Julian_Glover"
],
[
"Jason_Momoa",
"award_nominee",
"Lena_Headey"
],
[
"Jason_Momoa",
"award_nominee",
"Mark_Addy"
],
[
"Jerome_Flynn",
"award_nominee",
"Aidan_Gillen"
],
[
"Jerome_Flynn",
"award_nominee",
"Donald_Sumpter"
],
[
"Jerome_Flynn",
"award_nominee",
"Jason_Momoa"
],
[
"Jerome_Flynn",
"award_nominee",
"Julian_Glover"
],
[
"Jerome_Flynn",
"award_nominee",
"Mark_Addy"
],
[
"Jerome_Flynn",
"award_nominee",
"Peter_Dinklage"
],
[
"Jerome_Flynn",
"nominated_for",
"Game_of_Thrones"
],
[
"Julian_Glover",
"award_nominee",
"Aidan_Gillen"
],
[
"Julian_Glover",
"award_nominee",
"Donald_Sumpter"
],
[
"Julian_Glover",
"award_nominee",
"Jason_Momoa"
],
[
"Julian_Glover",
"award_nominee",
"Jerome_Flynn"
],
[
"Julian_Glover",
"award_nominee",
"Lena_Headey"
],
[
"Julian_Glover",
"award_nominee",
"Mark_Addy"
],
[
"Julian_Glover",
"award_nominee",
"Peter_Dinklage"
],
[
"Julian_Glover",
"nominated_for",
"Game_of_Thrones"
],
[
"Lena_Headey",
"award_nominee",
"Aidan_Gillen"
],
[
"Lena_Headey",
"award_nominee",
"Jerome_Flynn"
],
[
"Lena_Headey",
"award_nominee",
"Julian_Glover"
],
[
"Lena_Headey",
"award_nominee",
"Mark_Addy"
],
[
"Lena_Headey",
"award_nominee",
"Peter_Dinklage"
],
[
"Lena_Headey",
"nominated_for",
"Game_of_Thrones"
],
[
"Mark_Addy",
"award_nominee",
"Donald_Sumpter"
],
[
"Mark_Addy",
"award_nominee",
"Jason_Momoa"
],
[
"Mark_Addy",
"award_nominee",
"Lena_Headey"
],
[
"Mark_Addy",
"award_nominee",
"Peter_Dinklage"
],
[
"Mark_Addy",
"nominated_for",
"Game_of_Thrones"
],
[
"Peter_Dinklage",
"award_nominee",
"Aidan_Gillen"
],
[
"Peter_Dinklage",
"award_nominee",
"Donald_Sumpter"
],
[
"Peter_Dinklage",
"award_nominee",
"Jason_Momoa"
],
[
"Peter_Dinklage",
"award_nominee",
"Jerome_Flynn"
],
[
"Peter_Dinklage",
"award_nominee",
"Julian_Glover"
],
[
"Peter_Dinklage",
"award_nominee",
"Lena_Headey"
],
[
"Peter_Dinklage",
"award_nominee",
"Mark_Addy"
],
[
"Peter_Dinklage",
"nominated_for",
"Game_of_Thrones"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
11662, Cries_and_Whispers
11291, Golden_Globe_Award_for_Best_Foreign_Language_Film
6388, Kingdom_of_Portugal
895, Napoleonic_Wars
10566, War_and_Peace
src, edge_attr, dst
11291, nominated_for, 11662
11291, nominated_for, 10566
895, combatants, 6388
895, films, 10566
Question: How are Cries_and_Whispers and Kingdom_of_Portugal related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Cries_and_Whispers",
"Kingdom_of_Portugal"
],
"valid_edges": [
[
"Golden_Globe_Award_for_Best_Foreign_Language_Film",
"nominated_for",
"Cries_and_Whispers"
],
[
"Golden_Globe_Award_for_Best_Foreign_Language_Film",
"nominated_for",
"War_and_Peace"
],
[
"Napoleonic_Wars",
"combatants",
"Kingdom_of_Portugal"
],
[
"Napoleonic_Wars",
"films",
"War_and_Peace"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
9808, Cambodia
13175, Hotel_Transylvania
6931, Mark_Mothersbaugh
13500, Post-punk
2931, Punk_blues
src, edge_attr, dst
13175, film_music, 6931
13175, film_release_region, 9808
13500, artists, 6931
2931, parent_genre, 13500
Question: How are Cambodia and Punk_blues related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Cambodia",
"Punk_blues"
],
"valid_edges": [
[
"Hotel_Transylvania",
"film_music",
"Mark_Mothersbaugh"
],
[
"Hotel_Transylvania",
"film_release_region",
"Cambodia"
],
[
"Post-punk",
"artists",
"Mark_Mothersbaugh"
],
[
"Punk_blues",
"parent_genre",
"Post-punk"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
1235, 1982_Cannes_Film_Festival
5186, Cannes_Best_Director_Award
5165, Germany
13256, Golden_Bear
4812, Michael_Apted
5, Michael_Haneke
148, Rainer_Werner_Fassbinder
10950, Terrence_Malick
13017, Werner_Herzog
6986, Wim_Wenders
src, edge_attr, dst
5186, award_winner, 10950
5186, award_winner, 13017
5186, award_winner, 6986
13256, award_winner, 148
13256, award_winner, 10950
4812, award_winner, 10950
5, award, 5186
5, nationality, 5165
148, nationality, 5165
13017, film_festivals, 1235
13017, nationality, 5165
6986, film_festivals, 1235
6986, nationality, 5165
Question: How are Germany and Michael_Apted related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Germany",
"Michael_Apted"
],
"valid_edges": [
[
"Cannes_Best_Director_Award",
"award_winner",
"Terrence_Malick"
],
[
"Cannes_Best_Director_Award",
"award_winner",
"Werner_Herzog"
],
[
"Cannes_Best_Director_Award",
"award_winner",
"Wim_Wenders"
],
[
"Golden_Bear",
"award_winner",
"Rainer_Werner_Fassbinder"
],
[
"Golden_Bear",
"award_winner",
"Terrence_Malick"
],
[
"Michael_Apted",
"award_winner",
"Terrence_Malick"
],
[
"Michael_Haneke",
"award",
"Cannes_Best_Director_Award"
],
[
"Michael_Haneke",
"nationality",
"Germany"
],
[
"Rainer_Werner_Fassbinder",
"nationality",
"Germany"
],
[
"Werner_Herzog",
"film_festivals",
"1982_Cannes_Film_Festival"
],
[
"Werner_Herzog",
"nationality",
"Germany"
],
[
"Wim_Wenders",
"film_festivals",
"1982_Cannes_Film_Festival"
],
[
"Wim_Wenders",
"nationality",
"Germany"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
14120, Anime
7576, Coming_of_age
2619, Digimon_Adventure
3447, Kiki's_Delivery_Service
8506, Radio_Days
src, edge_attr, dst
2619, genre, 14120
3447, genre, 14120
3447, genre, 7576
8506, genre, 7576
Question: How are Digimon_Adventure and Radio_Days related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Digimon_Adventure",
"Radio_Days"
],
"valid_edges": [
[
"Digimon_Adventure",
"genre",
"Anime"
],
[
"Kiki's_Delivery_Service",
"genre",
"Anime"
],
[
"Kiki's_Delivery_Service",
"genre",
"Coming_of_age"
],
[
"Radio_Days",
"genre",
"Coming_of_age"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
7735, Grammy_Award_for_Best_Male_Country_Vocal_Performance
2537, Joe_Diffie
572, Marilyn_Monroe
2515, Merle_Haggard
8195, Oklahoma
419, Pentecostalism
3193, Toby_Keith
4352, Travis_Tritt
9982, Willie_Nelson
src, edge_attr, dst
7735, award_winner, 2515
7735, award_winner, 9982
2537, award_nominee, 2515
2537, award_nominee, 4352
2537, award_winner, 4352
572, religion, 419
2515, award_nominee, 2537
2515, award_nominee, 4352
2515, award_nominee, 9982
2515, award_winner, 2537
2515, award_winner, 4352
2515, location, 8195
8195, religion, 419
3193, award, 7735
3193, award_nominee, 2515
4352, award, 7735
4352, award_nominee, 2515
4352, award_winner, 2537
4352, award_winner, 2515
9982, award, 7735
9982, award_nominee, 2515
Question: How are Marilyn_Monroe and Travis_Tritt related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Marilyn_Monroe",
"Travis_Tritt"
],
"valid_edges": [
[
"Grammy_Award_for_Best_Male_Country_Vocal_Performance",
"award_winner",
"Merle_Haggard"
],
[
"Grammy_Award_for_Best_Male_Country_Vocal_Performance",
"award_winner",
"Willie_Nelson"
],
[
"Joe_Diffie",
"award_nominee",
"Merle_Haggard"
],
[
"Joe_Diffie",
"award_nominee",
"Travis_Tritt"
],
[
"Joe_Diffie",
"award_winner",
"Travis_Tritt"
],
[
"Marilyn_Monroe",
"religion",
"Pentecostalism"
],
[
"Merle_Haggard",
"award_nominee",
"Joe_Diffie"
],
[
"Merle_Haggard",
"award_nominee",
"Travis_Tritt"
],
[
"Merle_Haggard",
"award_nominee",
"Willie_Nelson"
],
[
"Merle_Haggard",
"award_winner",
"Joe_Diffie"
],
[
"Merle_Haggard",
"award_winner",
"Travis_Tritt"
],
[
"Merle_Haggard",
"location",
"Oklahoma"
],
[
"Oklahoma",
"religion",
"Pentecostalism"
],
[
"Toby_Keith",
"award",
"Grammy_Award_for_Best_Male_Country_Vocal_Performance"
],
[
"Toby_Keith",
"award_nominee",
"Merle_Haggard"
],
[
"Travis_Tritt",
"award",
"Grammy_Award_for_Best_Male_Country_Vocal_Performance"
],
[
"Travis_Tritt",
"award_nominee",
"Merle_Haggard"
],
[
"Travis_Tritt",
"award_winner",
"Joe_Diffie"
],
[
"Travis_Tritt",
"award_winner",
"Merle_Haggard"
],
[
"Willie_Nelson",
"award",
"Grammy_Award_for_Best_Male_Country_Vocal_Performance"
],
[
"Willie_Nelson",
"award_nominee",
"Merle_Haggard"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
1956, BBC_Films
10303, David_M._Thompson
5844, Fortune_1000
8843, HBO_Films
2426, The_Gathering_Storm-GB
5018, The_Other_Boleyn_Girl
9317, Time_Warner
src, edge_attr, dst
1956, award_winner, 8843
8843, award_winner, 1956
2426, award_winner, 1956
2426, award_winner, 10303
5018, executive_produced_by, 10303
5018, production_companies, 1956
9317, child, 8843
9317, list, 5844
Question: How are Fortune_1000 and The_Other_Boleyn_Girl related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Fortune_1000",
"The_Other_Boleyn_Girl"
],
"valid_edges": [
[
"BBC_Films",
"award_winner",
"HBO_Films"
],
[
"HBO_Films",
"award_winner",
"BBC_Films"
],
[
"The_Gathering_Storm-GB",
"award_winner",
"BBC_Films"
],
[
"The_Gathering_Storm-GB",
"award_winner",
"David_M._Thompson"
],
[
"The_Other_Boleyn_Girl",
"executive_produced_by",
"David_M._Thompson"
],
[
"The_Other_Boleyn_Girl",
"production_companies",
"BBC_Films"
],
[
"Time_Warner",
"child",
"HBO_Films"
],
[
"Time_Warner",
"list",
"Fortune_1000"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
6286, Academy_Award_for_Best_Cinematography
12586, Bournemouth
11143, Harold_Rosson
5894, J._R._R._Tolkien
10447, The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring
src, edge_attr, dst
6286, nominated_for, 10447
11143, award, 6286
5894, place_of_death, 12586
10447, award_honor_award, 6286
10447, story_by, 5894
Question: How are Bournemouth and Harold_Rosson related?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Bournemouth",
"Harold_Rosson"
],
"valid_edges": [
[
"Academy_Award_for_Best_Cinematography",
"nominated_for",
"The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring"
],
[
"Harold_Rosson",
"award",
"Academy_Award_for_Best_Cinematography"
],
[
"J._R._R._Tolkien",
"place_of_death",
"Bournemouth"
],
[
"The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring",
"award_honor_award",
"Academy_Award_for_Best_Cinematography"
],
[
"The_Lord_of_the_Rings:_The_Fellowship_of_the_Ring",
"story_by",
"J._R._R._Tolkien"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
1162, Governor-GB
9585, Nick_Cannon
6250, Seattle
11752, Washington
1680, Zhejiang
src, edge_attr, dst
1162, jurisdiction_of_office, 11752
1162, jurisdiction_of_office, 1680
9585, artist_origin, 6250
6250, place, 6250
6250, state, 11752
11752, contains, 6250
Question: For what reason are Nick_Cannon and Zhejiang associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Nick_Cannon",
"Zhejiang"
],
"valid_edges": [
[
"Governor-GB",
"jurisdiction_of_office",
"Washington"
],
[
"Governor-GB",
"jurisdiction_of_office",
"Zhejiang"
],
[
"Nick_Cannon",
"artist_origin",
"Seattle"
],
[
"Seattle",
"place",
"Seattle"
],
[
"Seattle",
"state",
"Washington"
],
[
"Washington",
"contains",
"Seattle"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
2546, Bob_Marley_&_The_Wailers
1938, California
11821, Drums
9032, Frank_Zappa
383, Guitarist-GB
8937, Michael_Nesmith
11584, Monterey
12515, Reggae
8162, Rock_music
14132, Rocksteady
14237, San_Diego
2820, Ska
3470, Songwriter-GB
2176, Warner_Bros._Entertainment
9650, Warner_Bros._Records
src, edge_attr, dst
1938, contains, 14237
11821, group, 2546
11821, instrumentalists, 9032
9032, location, 11584
9032, location, 14237
9032, profession, 383
9032, profession, 3470
8937, location_of_ceremony, 11584
8937, profession, 383
8937, profession, 3470
11584, place, 11584
11584, state, 1938
12515, artists, 2546
12515, parent_genre, 2820
8162, artists, 9032
8162, artists, 8937
14132, artists, 2546
14132, parent_genre, 2820
14237, state, 1938
2820, artists, 2546
2176, artist, 9032
2176, state_province_region, 1938
9650, artist, 9032
9650, state_province_region, 1938
Question: In what context are Monterey and Rocksteady connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Monterey",
"Rocksteady"
],
"valid_edges": [
[
"California",
"contains",
"San_Diego"
],
[
"Drums",
"group",
"Bob_Marley_&_The_Wailers"
],
[
"Drums",
"instrumentalists",
"Frank_Zappa"
],
[
"Frank_Zappa",
"location",
"Monterey"
],
[
"Frank_Zappa",
"location",
"San_Diego"
],
[
"Frank_Zappa",
"profession",
"Guitarist-GB"
],
[
"Frank_Zappa",
"profession",
"Songwriter-GB"
],
[
"Michael_Nesmith",
"location_of_ceremony",
"Monterey"
],
[
"Michael_Nesmith",
"profession",
"Guitarist-GB"
],
[
"Michael_Nesmith",
"profession",
"Songwriter-GB"
],
[
"Monterey",
"place",
"Monterey"
],
[
"Monterey",
"state",
"California"
],
[
"Reggae",
"artists",
"Bob_Marley_&_The_Wailers"
],
[
"Reggae",
"parent_genre",
"Ska"
],
[
"Rock_music",
"artists",
"Frank_Zappa"
],
[
"Rock_music",
"artists",
"Michael_Nesmith"
],
[
"Rocksteady",
"artists",
"Bob_Marley_&_The_Wailers"
],
[
"Rocksteady",
"parent_genre",
"Ska"
],
[
"San_Diego",
"state",
"California"
],
[
"Ska",
"artists",
"Bob_Marley_&_The_Wailers"
],
[
"Warner_Bros._Entertainment",
"artist",
"Frank_Zappa"
],
[
"Warner_Bros._Entertainment",
"state_province_region",
"California"
],
[
"Warner_Bros._Records",
"artist",
"Frank_Zappa"
],
[
"Warner_Bros._Records",
"state_province_region",
"California"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
11228, Athens
8141, Kingdom_of_Greece
1763, MCA_Records
10799, Russian_Civil_War
3125, Tommy_Lee
src, edge_attr, dst
8141, capital, 11228
1763, artist, 3125
10799, combatants, 8141
3125, place_of_birth, 11228
Question: For what reason are MCA_Records and Russian_Civil_War associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"MCA_Records",
"Russian_Civil_War"
],
"valid_edges": [
[
"Kingdom_of_Greece",
"capital",
"Athens"
],
[
"MCA_Records",
"artist",
"Tommy_Lee"
],
[
"Russian_Civil_War",
"combatants",
"Kingdom_of_Greece"
],
[
"Tommy_Lee",
"place_of_birth",
"Athens"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
4241, Brian_Eno
3399, Columbia_Business_School
13627, Dean-GB
5512, Eastman_School_of_Music
10847, Massachusetts_Institute_of_Technology
10877, Noam_Chomsky
10164, Robert_C._Ludwig
src, edge_attr, dst
4241, award_nominee, 10164
4241, influenced_by, 10877
3399, campuses, 3399
3399, educational_institution, 3399
13627, company, 3399
13627, company, 10847
13627, organization, 3399
13627, organization, 5512
5512, student, 10164
10877, company, 10847
Question: In what context are Brian_Eno and Columbia_Business_School connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Brian_Eno",
"Columbia_Business_School"
],
"valid_edges": [
[
"Brian_Eno",
"award_nominee",
"Robert_C._Ludwig"
],
[
"Brian_Eno",
"influenced_by",
"Noam_Chomsky"
],
[
"Columbia_Business_School",
"campuses",
"Columbia_Business_School"
],
[
"Columbia_Business_School",
"educational_institution",
"Columbia_Business_School"
],
[
"Dean-GB",
"company",
"Columbia_Business_School"
],
[
"Dean-GB",
"company",
"Massachusetts_Institute_of_Technology"
],
[
"Dean-GB",
"organization",
"Columbia_Business_School"
],
[
"Dean-GB",
"organization",
"Eastman_School_of_Music"
],
[
"Eastman_School_of_Music",
"student",
"Robert_C._Ludwig"
],
[
"Noam_Chomsky",
"company",
"Massachusetts_Institute_of_Technology"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
1809, Ali_Larter
7669, Jason_Lee
3844, Jay_and_Silent_Bob_Strike_Back
10740, Orange
5440, Rochester_Institute_of_Technology
src, edge_attr, dst
1809, acted_in, 3844
7669, acted_in, 3844
7669, place_of_birth, 10740
10740, place, 10740
5440, campuses, 5440
5440, colors, 10740
5440, educational_institution, 5440
Question: In what context are Ali_Larter and Rochester_Institute_of_Technology connected?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Ali_Larter",
"Rochester_Institute_of_Technology"
],
"valid_edges": [
[
"Ali_Larter",
"acted_in",
"Jay_and_Silent_Bob_Strike_Back"
],
[
"Jason_Lee",
"acted_in",
"Jay_and_Silent_Bob_Strike_Back"
],
[
"Jason_Lee",
"place_of_birth",
"Orange"
],
[
"Orange",
"place",
"Orange"
],
[
"Rochester_Institute_of_Technology",
"campuses",
"Rochester_Institute_of_Technology"
],
[
"Rochester_Institute_of_Technology",
"colors",
"Orange"
],
[
"Rochester_Institute_of_Technology",
"educational_institution",
"Rochester_Institute_of_Technology"
]
]
}
|
FB15k-237
|
You are given a directed graph as two CSV-like sections in this order:
1) Node table (header included):
node_id, node_attr
2) Edge table (header included):
src, edge_attr, dst
Task
- Use ONLY edges from the Edge table to answer the question by outputting a path.
- When printing each edge, replace IDs with the exact node_attr from the Node table.
- Output MUST be text triples, not numeric IDs.
Output format (STRICT — no extra text):
PATH:
("subject"|predicate|"object")
...
END
Rules
- Use only listed edges; do NOT invent edges.
- Map IDs → node_attr; preserve node_attr exactly.
- Output NOTHING outside the PATH block.
- If no path exists, output exactly:
PATH:
END
Graph:
node_id, node_attr
7515, American_Horror_Story
14238, Cary_Elwes
4869, Executive_Producer
6813, Gillian_Anderson
8857, Madison_County
9047, Mystery
883, New_York
2161, Onondaga_County
13366, Science_Fiction
12925, Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series
3121, The_X-Files
4777, Tim_Minear
src, edge_attr, dst
7515, award_honor_award, 12925
7515, genre, 9047
7515, genre, 13366
7515, producer_type, 4869
14238, location, 883
6813, location, 883
6813, nominated_for, 3121
8857, adjoins, 2161
8857, administrative_parent, 883
9047, titles, 3121
883, contains, 8857
883, contains, 2161
2161, adjoins, 8857
12925, nominated_for, 7515
3121, actor, 14238
3121, actor, 6813
3121, award_honor_award, 12925
3121, award_winner, 6813
3121, genre, 9047
3121, genre, 13366
3121, producer_type, 4869
4777, program, 7515
4777, tv_program, 7515
4777, tv_program, 3121
Question: For what reason are Onondaga_County and Tim_Minear associated?
Your output must be ONLY the PATH block.
|
graph_path
|
{
"style": "rule"
}
|
{
"entities": [
"Onondaga_County",
"Tim_Minear"
],
"valid_edges": [
[
"American_Horror_Story",
"award_honor_award",
"Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series"
],
[
"American_Horror_Story",
"genre",
"Mystery"
],
[
"American_Horror_Story",
"genre",
"Science_Fiction"
],
[
"American_Horror_Story",
"producer_type",
"Executive_Producer"
],
[
"Cary_Elwes",
"location",
"New_York"
],
[
"Gillian_Anderson",
"location",
"New_York"
],
[
"Gillian_Anderson",
"nominated_for",
"The_X-Files"
],
[
"Madison_County",
"adjoins",
"Onondaga_County"
],
[
"Madison_County",
"administrative_parent",
"New_York"
],
[
"Mystery",
"titles",
"The_X-Files"
],
[
"New_York",
"contains",
"Madison_County"
],
[
"New_York",
"contains",
"Onondaga_County"
],
[
"Onondaga_County",
"adjoins",
"Madison_County"
],
[
"Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series",
"nominated_for",
"American_Horror_Story"
],
[
"The_X-Files",
"actor",
"Cary_Elwes"
],
[
"The_X-Files",
"actor",
"Gillian_Anderson"
],
[
"The_X-Files",
"award_honor_award",
"Screen_Actors_Guild_Award_for_Outstanding_Performance_by_a_Female_Actor_in_a_Drama_Series"
],
[
"The_X-Files",
"award_winner",
"Gillian_Anderson"
],
[
"The_X-Files",
"genre",
"Mystery"
],
[
"The_X-Files",
"genre",
"Science_Fiction"
],
[
"The_X-Files",
"producer_type",
"Executive_Producer"
],
[
"Tim_Minear",
"program",
"American_Horror_Story"
],
[
"Tim_Minear",
"tv_program",
"American_Horror_Story"
],
[
"Tim_Minear",
"tv_program",
"The_X-Files"
]
]
}
|
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