data_source stringclasses 1 value | prompt stringlengths 1.02k 14.6k | ability stringclasses 1 value | reward_model dict | extra_info dict |
|---|---|---|---|---|
YAGO |
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
27221, David_Butler_(director)
66328, Gerhard_Strack
118104, male
src, edge_attr, dst
27221, hasGender, 118104
66328, hasGender, 118104
Question: In what context are David_Butler_(director) and Gerhard_Strack connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"David_Butler_(director)",
"Gerhard_Strack"
],
"valid_edges": [
[
"David_Butler_(director)",
"hasGender",
"male"
],
[
"Gerhard_Strack",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
102582, A.S._Monaco_F.C.
43681, Alejandro_Alonso_(footballer)
197, Ali_Benarbia
102466, Arnaud_Dos_Santos
13480, Augusto_Mainguyague
80332, Bernard_Genghini
117532, Bruno_Cheyrou
4112, Camel_Meriem
10021, Cyril_Domoraud
89980, Cyril_Rool
80933, David_Trezeguet
42125, Didier_Couécou
112003, Didier_Deschamps
30712, Dominique_Bijotat
55191, Enzo_Scifo
85403, F.C._Girondins_de_Bordeaux
20789, F.C._Nantes
87386, Fabien_Barthez
92372, Fabrice_Poullain
89114, Franck_Jurietti
111086, Frédéric_Nimani
118700, Georges_Van_Straelen
23159, Gernot_Rohr
4450, Grzegorz_Krychowiak
86991, Guy_Lacombe
67134, Gérard_Soler
98751, Jacques_Simon_(footballer)
85064, Japhet_N'Doram
93072, Jaroslav_Plašil
105378, Jean-Claude_Darcheville
50716, Jean-Louis_Garcia
28367, Jean-Marc_Furlan
105790, Jean_Tigana
95233, José_Touré
11733, Juan_Simón
91800, Jérémy_Toulalan
49387, Jérôme_Gnako
28647, Laurent_Robuschi
109728, Lucas_Bernardi
44668, Marama_Vahirua
63620, Marcel_Dib
102252, Massamba_Sambou
21448, Mauricio_Pochettino
51152, Moussa_Maâzou
92418, Newell's_Old_Boys
1563, Olivier_Veigneau
107264, Omar_Sahnoun
53554, Pascal_Feindouno
60143, Patrick_Battiston
42154, Philippe_Anziani
121875, Philippe_Raschke
107863, Pierre_Sinibaldi
100778, Ramon_Muller
51396, Ricardo_Gomes
22240, Rolland_Courbis
97309, Serge_Gakpé
17158, Sergio_Bernardo_Almirón
49708, Stéphane_Ziani
72302, Sylvain_Legwinski
91552, Sylvain_N'Diaye
119058, Sylvain_Wiltord
4533, Thierry_Tusseau
12008, William_Ayache
25279, Xavier_Gravelaine
50994, Yannick_Quesnel
118835, Yvon_Le_Roux
8267, Éric_Cubilier
57588, Éric_Pécout
src, edge_attr, dst
43681, isAffiliatedTo, 102582
43681, isAffiliatedTo, 85403
197, isAffiliatedTo, 102582
197, isAffiliatedTo, 85403
102466, isAffiliatedTo, 102582
102466, isAffiliatedTo, 85403
13480, isAffiliatedTo, 92418
13480, playsFor, 92418
80332, isAffiliatedTo, 102582
80332, isAffiliatedTo, 85403
117532, isAffiliatedTo, 85403
117532, isAffiliatedTo, 20789
4112, isAffiliatedTo, 102582
4112, isAffiliatedTo, 85403
10021, isAffiliatedTo, 102582
10021, isAffiliatedTo, 85403
89980, isAffiliatedTo, 102582
89980, isAffiliatedTo, 85403
80933, isAffiliatedTo, 102582
80933, isAffiliatedTo, 92418
80933, playsFor, 92418
42125, isAffiliatedTo, 85403
42125, isAffiliatedTo, 20789
112003, isAffiliatedTo, 102582
112003, isAffiliatedTo, 85403
112003, isAffiliatedTo, 20789
30712, isAffiliatedTo, 102582
30712, isAffiliatedTo, 85403
55191, isAffiliatedTo, 102582
55191, isAffiliatedTo, 85403
87386, isAffiliatedTo, 102582
87386, isAffiliatedTo, 20789
92372, isAffiliatedTo, 102582
92372, isAffiliatedTo, 20789
89114, isAffiliatedTo, 102582
89114, isAffiliatedTo, 85403
111086, isAffiliatedTo, 102582
111086, isAffiliatedTo, 20789
118700, isAffiliatedTo, 85403
118700, isAffiliatedTo, 20789
23159, isAffiliatedTo, 85403
23159, isAffiliatedTo, 20789
4450, isAffiliatedTo, 85403
4450, isAffiliatedTo, 20789
86991, isAffiliatedTo, 102582
86991, isAffiliatedTo, 20789
67134, isAffiliatedTo, 102582
67134, isAffiliatedTo, 85403
98751, isAffiliatedTo, 85403
98751, isAffiliatedTo, 20789
85064, isAffiliatedTo, 102582
85064, isAffiliatedTo, 20789
93072, isAffiliatedTo, 102582
93072, isAffiliatedTo, 85403
105378, isAffiliatedTo, 85403
105378, isAffiliatedTo, 20789
50716, isAffiliatedTo, 102582
50716, isAffiliatedTo, 85403
50716, isAffiliatedTo, 20789
28367, isAffiliatedTo, 85403
28367, isAffiliatedTo, 20789
105790, isAffiliatedTo, 102582
105790, isAffiliatedTo, 85403
95233, isAffiliatedTo, 102582
95233, isAffiliatedTo, 85403
95233, isAffiliatedTo, 20789
11733, isAffiliatedTo, 102582
11733, isAffiliatedTo, 92418
11733, playsFor, 92418
91800, isAffiliatedTo, 102582
91800, isAffiliatedTo, 20789
49387, isAffiliatedTo, 102582
49387, isAffiliatedTo, 85403
28647, isAffiliatedTo, 102582
28647, isAffiliatedTo, 85403
109728, isAffiliatedTo, 102582
109728, isAffiliatedTo, 92418
109728, playsFor, 92418
44668, isAffiliatedTo, 102582
44668, isAffiliatedTo, 20789
63620, isAffiliatedTo, 102582
63620, isAffiliatedTo, 85403
102252, isAffiliatedTo, 102582
102252, isAffiliatedTo, 20789
21448, isAffiliatedTo, 85403
21448, isAffiliatedTo, 92418
21448, playsFor, 92418
51152, isAffiliatedTo, 102582
51152, isAffiliatedTo, 85403
1563, isAffiliatedTo, 102582
1563, isAffiliatedTo, 20789
107264, isAffiliatedTo, 85403
107264, isAffiliatedTo, 20789
53554, isAffiliatedTo, 102582
53554, isAffiliatedTo, 85403
60143, isAffiliatedTo, 102582
60143, isAffiliatedTo, 85403
42154, isAffiliatedTo, 102582
42154, isAffiliatedTo, 20789
121875, isAffiliatedTo, 102582
121875, isAffiliatedTo, 85403
107863, isAffiliatedTo, 102582
107863, isAffiliatedTo, 20789
100778, isAffiliatedTo, 20789
100778, isAffiliatedTo, 92418
100778, playsFor, 92418
51396, isAffiliatedTo, 102582
51396, isAffiliatedTo, 85403
22240, isAffiliatedTo, 102582
22240, isAffiliatedTo, 85403
97309, isAffiliatedTo, 102582
97309, isAffiliatedTo, 20789
17158, isAffiliatedTo, 102582
17158, isAffiliatedTo, 92418
17158, playsFor, 92418
49708, isAffiliatedTo, 85403
49708, isAffiliatedTo, 20789
72302, isAffiliatedTo, 102582
72302, isAffiliatedTo, 85403
91552, isAffiliatedTo, 102582
91552, isAffiliatedTo, 85403
119058, isAffiliatedTo, 85403
119058, isAffiliatedTo, 20789
4533, isAffiliatedTo, 85403
4533, isAffiliatedTo, 20789
12008, isAffiliatedTo, 85403
12008, isAffiliatedTo, 20789
25279, isAffiliatedTo, 102582
25279, isAffiliatedTo, 20789
50994, isAffiliatedTo, 102582
50994, isAffiliatedTo, 85403
118835, isAffiliatedTo, 102582
118835, isAffiliatedTo, 20789
8267, isAffiliatedTo, 102582
8267, isAffiliatedTo, 20789
57588, isAffiliatedTo, 102582
57588, isAffiliatedTo, 20789
Question: In what context are Augusto_Mainguyague and José_Touré connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Augusto_Mainguyague",
"José_Touré"
],
"valid_edges": [
[
"Alejandro_Alonso_(footballer)",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Alejandro_Alonso_(footballer)",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Ali_Benarbia",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Ali_Benarbia",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Arnaud_Dos_Santos",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Arnaud_Dos_Santos",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Augusto_Mainguyague",
"isAffiliatedTo",
"Newell's_Old_Boys"
],
[
"Augusto_Mainguyague",
"playsFor",
"Newell's_Old_Boys"
],
[
"Bernard_Genghini",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Bernard_Genghini",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Bruno_Cheyrou",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Bruno_Cheyrou",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Camel_Meriem",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Camel_Meriem",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Cyril_Domoraud",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Cyril_Domoraud",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Cyril_Rool",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Cyril_Rool",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"David_Trezeguet",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"David_Trezeguet",
"isAffiliatedTo",
"Newell's_Old_Boys"
],
[
"David_Trezeguet",
"playsFor",
"Newell's_Old_Boys"
],
[
"Didier_Couécou",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Didier_Couécou",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Didier_Deschamps",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Didier_Deschamps",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Didier_Deschamps",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Dominique_Bijotat",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Dominique_Bijotat",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Enzo_Scifo",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Enzo_Scifo",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Fabien_Barthez",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Fabien_Barthez",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Fabrice_Poullain",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Fabrice_Poullain",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Franck_Jurietti",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Franck_Jurietti",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Frédéric_Nimani",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Frédéric_Nimani",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Georges_Van_Straelen",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Georges_Van_Straelen",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Gernot_Rohr",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Gernot_Rohr",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Grzegorz_Krychowiak",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Grzegorz_Krychowiak",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Guy_Lacombe",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Guy_Lacombe",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Gérard_Soler",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Gérard_Soler",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Jacques_Simon_(footballer)",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Jacques_Simon_(footballer)",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Japhet_N'Doram",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Japhet_N'Doram",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Jaroslav_Plašil",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Jaroslav_Plašil",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Jean-Claude_Darcheville",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Jean-Claude_Darcheville",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Jean-Louis_Garcia",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Jean-Louis_Garcia",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Jean-Louis_Garcia",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Jean-Marc_Furlan",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Jean-Marc_Furlan",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Jean_Tigana",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Jean_Tigana",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"José_Touré",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"José_Touré",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"José_Touré",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Juan_Simón",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Juan_Simón",
"isAffiliatedTo",
"Newell's_Old_Boys"
],
[
"Juan_Simón",
"playsFor",
"Newell's_Old_Boys"
],
[
"Jérémy_Toulalan",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Jérémy_Toulalan",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Jérôme_Gnako",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Jérôme_Gnako",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Laurent_Robuschi",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Laurent_Robuschi",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Lucas_Bernardi",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Lucas_Bernardi",
"isAffiliatedTo",
"Newell's_Old_Boys"
],
[
"Lucas_Bernardi",
"playsFor",
"Newell's_Old_Boys"
],
[
"Marama_Vahirua",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Marama_Vahirua",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Marcel_Dib",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Marcel_Dib",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Massamba_Sambou",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Massamba_Sambou",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Mauricio_Pochettino",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Mauricio_Pochettino",
"isAffiliatedTo",
"Newell's_Old_Boys"
],
[
"Mauricio_Pochettino",
"playsFor",
"Newell's_Old_Boys"
],
[
"Moussa_Maâzou",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Moussa_Maâzou",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Olivier_Veigneau",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Olivier_Veigneau",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Omar_Sahnoun",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Omar_Sahnoun",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Pascal_Feindouno",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Pascal_Feindouno",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Patrick_Battiston",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Patrick_Battiston",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Philippe_Anziani",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Philippe_Anziani",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Philippe_Raschke",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Philippe_Raschke",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Pierre_Sinibaldi",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Pierre_Sinibaldi",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Ramon_Muller",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Ramon_Muller",
"isAffiliatedTo",
"Newell's_Old_Boys"
],
[
"Ramon_Muller",
"playsFor",
"Newell's_Old_Boys"
],
[
"Ricardo_Gomes",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Ricardo_Gomes",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Rolland_Courbis",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Rolland_Courbis",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Serge_Gakpé",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Serge_Gakpé",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Sergio_Bernardo_Almirón",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Sergio_Bernardo_Almirón",
"isAffiliatedTo",
"Newell's_Old_Boys"
],
[
"Sergio_Bernardo_Almirón",
"playsFor",
"Newell's_Old_Boys"
],
[
"Stéphane_Ziani",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Stéphane_Ziani",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Sylvain_Legwinski",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Sylvain_Legwinski",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Sylvain_N'Diaye",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Sylvain_N'Diaye",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Sylvain_Wiltord",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Sylvain_Wiltord",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Thierry_Tusseau",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Thierry_Tusseau",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"William_Ayache",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"William_Ayache",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Xavier_Gravelaine",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Xavier_Gravelaine",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Yannick_Quesnel",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Yannick_Quesnel",
"isAffiliatedTo",
"F.C._Girondins_de_Bordeaux"
],
[
"Yvon_Le_Roux",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Yvon_Le_Roux",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Éric_Cubilier",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Éric_Cubilier",
"isAffiliatedTo",
"F.C._Nantes"
],
[
"Éric_Pécout",
"isAffiliatedTo",
"A.S._Monaco_F.C."
],
[
"Éric_Pécout",
"isAffiliatedTo",
"F.C._Nantes"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
83830, Alfred_Romer
83914, Billy_Mosforth
60669, Columbia_University
117650, Daniel_Giraud_Elliot_Medal
16097, Derek_Briggs
59197, George_Gaylord_Simpson
60481, Harry_B._Whittington
10565, Linnean_Medal
8438, Mary_Clark_Thompson_Medal
57226, Paleontological_Society_Medal
56933, Sherwood_Washburn
78416, Simon_Conway_Morris
102782, Stephen_Jay_Gould
29157, United_States
19091, Wollaston_Medal
118104, male
src, edge_attr, dst
83830, graduatedFrom, 60669
83830, hasGender, 118104
83830, hasWonPrize, 117650
83830, hasWonPrize, 10565
83830, hasWonPrize, 8438
83830, hasWonPrize, 57226
83830, hasWonPrize, 19091
83830, influences, 56933
83830, isCitizenOf, 29157
83914, hasGender, 118104
16097, hasAcademicAdvisor, 60481
16097, hasGender, 118104
59197, hasGender, 118104
59197, hasWonPrize, 117650
59197, hasWonPrize, 10565
59197, hasWonPrize, 8438
59197, hasWonPrize, 57226
59197, isCitizenOf, 29157
59197, worksAt, 60669
60481, hasGender, 118104
60481, hasWonPrize, 8438
60481, hasWonPrize, 57226
60481, hasWonPrize, 19091
56933, hasGender, 118104
78416, hasAcademicAdvisor, 60481
78416, hasGender, 118104
102782, graduatedFrom, 60669
102782, hasGender, 118104
102782, hasWonPrize, 10565
102782, hasWonPrize, 57226
102782, isCitizenOf, 29157
Question: How are Billy_Mosforth and Paleontological_Society_Medal related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Billy_Mosforth",
"Paleontological_Society_Medal"
],
"valid_edges": [
[
"Alfred_Romer",
"graduatedFrom",
"Columbia_University"
],
[
"Alfred_Romer",
"hasGender",
"male"
],
[
"Alfred_Romer",
"hasWonPrize",
"Daniel_Giraud_Elliot_Medal"
],
[
"Alfred_Romer",
"hasWonPrize",
"Linnean_Medal"
],
[
"Alfred_Romer",
"hasWonPrize",
"Mary_Clark_Thompson_Medal"
],
[
"Alfred_Romer",
"hasWonPrize",
"Paleontological_Society_Medal"
],
[
"Alfred_Romer",
"hasWonPrize",
"Wollaston_Medal"
],
[
"Alfred_Romer",
"influences",
"Sherwood_Washburn"
],
[
"Alfred_Romer",
"isCitizenOf",
"United_States"
],
[
"Billy_Mosforth",
"hasGender",
"male"
],
[
"Derek_Briggs",
"hasAcademicAdvisor",
"Harry_B._Whittington"
],
[
"Derek_Briggs",
"hasGender",
"male"
],
[
"George_Gaylord_Simpson",
"hasGender",
"male"
],
[
"George_Gaylord_Simpson",
"hasWonPrize",
"Daniel_Giraud_Elliot_Medal"
],
[
"George_Gaylord_Simpson",
"hasWonPrize",
"Linnean_Medal"
],
[
"George_Gaylord_Simpson",
"hasWonPrize",
"Mary_Clark_Thompson_Medal"
],
[
"George_Gaylord_Simpson",
"hasWonPrize",
"Paleontological_Society_Medal"
],
[
"George_Gaylord_Simpson",
"isCitizenOf",
"United_States"
],
[
"George_Gaylord_Simpson",
"worksAt",
"Columbia_University"
],
[
"Harry_B._Whittington",
"hasGender",
"male"
],
[
"Harry_B._Whittington",
"hasWonPrize",
"Mary_Clark_Thompson_Medal"
],
[
"Harry_B._Whittington",
"hasWonPrize",
"Paleontological_Society_Medal"
],
[
"Harry_B._Whittington",
"hasWonPrize",
"Wollaston_Medal"
],
[
"Sherwood_Washburn",
"hasGender",
"male"
],
[
"Simon_Conway_Morris",
"hasAcademicAdvisor",
"Harry_B._Whittington"
],
[
"Simon_Conway_Morris",
"hasGender",
"male"
],
[
"Stephen_Jay_Gould",
"graduatedFrom",
"Columbia_University"
],
[
"Stephen_Jay_Gould",
"hasGender",
"male"
],
[
"Stephen_Jay_Gould",
"hasWonPrize",
"Linnean_Medal"
],
[
"Stephen_Jay_Gould",
"hasWonPrize",
"Paleontological_Society_Medal"
],
[
"Stephen_Jay_Gould",
"isCitizenOf",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
41166, Bob_Bailey_(ice_hockey)
62705, Paulo_Garcés
118104, male
src, edge_attr, dst
41166, hasGender, 118104
62705, hasGender, 118104
Question: How are Bob_Bailey_(ice_hockey) and Paulo_Garcés related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Bob_Bailey_(ice_hockey)",
"Paulo_Garcés"
],
"valid_edges": [
[
"Bob_Bailey_(ice_hockey)",
"hasGender",
"male"
],
[
"Paulo_Garcés",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
53938, Arkadiusz_Miklosik
28640, Arkadiusz_Onyszko
110230, Artur_Marciniak
71955, GKS_Bełchatów
1578, Gmina_Połajewo
95688, Greater_Poland_Voivodeship
90146, Karol_Gregorek
95234, Krzysztof_Pawlak
105800, Lech_Poznań
110849, Marcin_Klatt
6359, Marcin_Sobczak
56966, Poznań
18982, Robert_Kolendowicz
1496, Zawisza_Bydgoszcz
26568, Zbigniew_Zakrzewski_(footballer)
36170, pl/Adam_Topolski
72062, pl/Sławomir_Suchomski
114843, pl/Tomasz_Augustyniak
src, edge_attr, dst
53938, isAffiliatedTo, 105800
53938, isAffiliatedTo, 1496
53938, playsFor, 105800
53938, playsFor, 1496
28640, isAffiliatedTo, 105800
28640, isAffiliatedTo, 1496
28640, playsFor, 105800
28640, playsFor, 1496
110230, isAffiliatedTo, 71955
110230, isAffiliatedTo, 105800
110230, playsFor, 71955
110230, playsFor, 105800
1578, isLocatedIn, 95688
90146, isAffiliatedTo, 71955
90146, isAffiliatedTo, 105800
90146, playsFor, 71955
90146, playsFor, 105800
95234, isAffiliatedTo, 71955
95234, isAffiliatedTo, 105800
95234, playsFor, 105800
105800, isLocatedIn, 56966
110849, isAffiliatedTo, 105800
110849, playsFor, 105800
110849, playsFor, 1496
6359, isAffiliatedTo, 71955
6359, isAffiliatedTo, 105800
6359, isAffiliatedTo, 1496
6359, playsFor, 71955
6359, playsFor, 1496
56966, isLocatedIn, 95688
18982, isAffiliatedTo, 71955
18982, isAffiliatedTo, 105800
18982, playsFor, 71955
18982, playsFor, 105800
26568, isAffiliatedTo, 71955
26568, isAffiliatedTo, 105800
26568, playsFor, 71955
26568, playsFor, 105800
36170, isAffiliatedTo, 105800
36170, isAffiliatedTo, 1496
72062, isAffiliatedTo, 71955
72062, isAffiliatedTo, 105800
114843, isAffiliatedTo, 71955
114843, isAffiliatedTo, 105800
Question: For what reason are Gmina_Połajewo and Marcin_Sobczak associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Gmina_Połajewo",
"Marcin_Sobczak"
],
"valid_edges": [
[
"Arkadiusz_Miklosik",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Arkadiusz_Miklosik",
"isAffiliatedTo",
"Zawisza_Bydgoszcz"
],
[
"Arkadiusz_Miklosik",
"playsFor",
"Lech_Poznań"
],
[
"Arkadiusz_Miklosik",
"playsFor",
"Zawisza_Bydgoszcz"
],
[
"Arkadiusz_Onyszko",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Arkadiusz_Onyszko",
"isAffiliatedTo",
"Zawisza_Bydgoszcz"
],
[
"Arkadiusz_Onyszko",
"playsFor",
"Lech_Poznań"
],
[
"Arkadiusz_Onyszko",
"playsFor",
"Zawisza_Bydgoszcz"
],
[
"Artur_Marciniak",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Artur_Marciniak",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Artur_Marciniak",
"playsFor",
"GKS_Bełchatów"
],
[
"Artur_Marciniak",
"playsFor",
"Lech_Poznań"
],
[
"Gmina_Połajewo",
"isLocatedIn",
"Greater_Poland_Voivodeship"
],
[
"Karol_Gregorek",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Karol_Gregorek",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Karol_Gregorek",
"playsFor",
"GKS_Bełchatów"
],
[
"Karol_Gregorek",
"playsFor",
"Lech_Poznań"
],
[
"Krzysztof_Pawlak",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Krzysztof_Pawlak",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Krzysztof_Pawlak",
"playsFor",
"Lech_Poznań"
],
[
"Lech_Poznań",
"isLocatedIn",
"Poznań"
],
[
"Marcin_Klatt",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Marcin_Klatt",
"playsFor",
"Lech_Poznań"
],
[
"Marcin_Klatt",
"playsFor",
"Zawisza_Bydgoszcz"
],
[
"Marcin_Sobczak",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Marcin_Sobczak",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Marcin_Sobczak",
"isAffiliatedTo",
"Zawisza_Bydgoszcz"
],
[
"Marcin_Sobczak",
"playsFor",
"GKS_Bełchatów"
],
[
"Marcin_Sobczak",
"playsFor",
"Zawisza_Bydgoszcz"
],
[
"Poznań",
"isLocatedIn",
"Greater_Poland_Voivodeship"
],
[
"Robert_Kolendowicz",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Robert_Kolendowicz",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Robert_Kolendowicz",
"playsFor",
"GKS_Bełchatów"
],
[
"Robert_Kolendowicz",
"playsFor",
"Lech_Poznań"
],
[
"Zbigniew_Zakrzewski_(footballer)",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Zbigniew_Zakrzewski_(footballer)",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"Zbigniew_Zakrzewski_(footballer)",
"playsFor",
"GKS_Bełchatów"
],
[
"Zbigniew_Zakrzewski_(footballer)",
"playsFor",
"Lech_Poznań"
],
[
"pl/Adam_Topolski",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"pl/Adam_Topolski",
"isAffiliatedTo",
"Zawisza_Bydgoszcz"
],
[
"pl/Sławomir_Suchomski",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"pl/Sławomir_Suchomski",
"isAffiliatedTo",
"Lech_Poznań"
],
[
"pl/Tomasz_Augustyniak",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"pl/Tomasz_Augustyniak",
"isAffiliatedTo",
"Lech_Poznań"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
95802, Australia
47634, Charles_E._M._Pearce
58426, David_Bishop
90388, George_Grey
100102, Graeme_Revell
106349, Ian_Foster
9533, James_Cameron
91091, James_Murdoch_Austin
71854, Jeremy_Kench
26120, Jerry_Mateparae
123023, John_Key
119892, Kirk_Penney
113609, Mika_Vukona
122633, Mike_Homik
114482, New_Zealand
72645, Niue
97021, Oceania
13388, Paul_Henare
82862, Peter_Whittle
37252, Phill_Jones
106266, Richard_O'Brien
26383, Rubén_Darío_Bustos
11648, Samoa
49548, Tufuga_Efi
29157, United_States
55451, Wellington
11354, William_Noel_Benson
110656, William_Phillips_(economist)
118104, male
src, edge_attr, dst
95802, isLocatedIn, 97021
47634, hasGender, 118104
47634, isCitizenOf, 114482
58426, hasGender, 118104
58426, isCitizenOf, 114482
90388, hasGender, 118104
90388, isPoliticianOf, 114482
100102, hasGender, 118104
100102, isCitizenOf, 114482
106349, hasGender, 118104
106349, isCitizenOf, 114482
9533, hasGender, 118104
9533, livesIn, 114482
91091, hasGender, 118104
91091, isCitizenOf, 114482
71854, hasGender, 118104
71854, isCitizenOf, 114482
26120, hasGender, 118104
26120, isLeaderOf, 114482
123023, hasGender, 118104
123023, isLeaderOf, 114482
123023, isPoliticianOf, 114482
119892, hasGender, 118104
119892, isCitizenOf, 114482
113609, hasGender, 118104
113609, isCitizenOf, 114482
122633, hasGender, 118104
122633, isCitizenOf, 114482
114482, dealsWith, 95802
114482, dealsWith, 29157
114482, hasCapital, 55451
114482, isLocatedIn, 97021
72645, isLocatedIn, 114482
72645, isLocatedIn, 97021
13388, hasGender, 118104
13388, isCitizenOf, 114482
82862, hasGender, 118104
82862, isCitizenOf, 114482
37252, hasGender, 118104
37252, isCitizenOf, 114482
106266, hasGender, 118104
106266, isCitizenOf, 114482
26383, hasGender, 118104
11648, dealsWith, 114482
11648, isLocatedIn, 97021
49548, hasGender, 118104
49548, isLeaderOf, 11648
49548, isPoliticianOf, 11648
29157, isLocatedIn, 97021
55451, isLocatedIn, 114482
55451, isLocatedIn, 97021
11354, hasGender, 118104
11354, livesIn, 114482
110656, hasGender, 118104
110656, isCitizenOf, 114482
Question: For what reason are Rubén_Darío_Bustos and Samoa associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Rubén_Darío_Bustos",
"Samoa"
],
"valid_edges": [
[
"Australia",
"isLocatedIn",
"Oceania"
],
[
"Charles_E._M._Pearce",
"hasGender",
"male"
],
[
"Charles_E._M._Pearce",
"isCitizenOf",
"New_Zealand"
],
[
"David_Bishop",
"hasGender",
"male"
],
[
"David_Bishop",
"isCitizenOf",
"New_Zealand"
],
[
"George_Grey",
"hasGender",
"male"
],
[
"George_Grey",
"isPoliticianOf",
"New_Zealand"
],
[
"Graeme_Revell",
"hasGender",
"male"
],
[
"Graeme_Revell",
"isCitizenOf",
"New_Zealand"
],
[
"Ian_Foster",
"hasGender",
"male"
],
[
"Ian_Foster",
"isCitizenOf",
"New_Zealand"
],
[
"James_Cameron",
"hasGender",
"male"
],
[
"James_Cameron",
"livesIn",
"New_Zealand"
],
[
"James_Murdoch_Austin",
"hasGender",
"male"
],
[
"James_Murdoch_Austin",
"isCitizenOf",
"New_Zealand"
],
[
"Jeremy_Kench",
"hasGender",
"male"
],
[
"Jeremy_Kench",
"isCitizenOf",
"New_Zealand"
],
[
"Jerry_Mateparae",
"hasGender",
"male"
],
[
"Jerry_Mateparae",
"isLeaderOf",
"New_Zealand"
],
[
"John_Key",
"hasGender",
"male"
],
[
"John_Key",
"isLeaderOf",
"New_Zealand"
],
[
"John_Key",
"isPoliticianOf",
"New_Zealand"
],
[
"Kirk_Penney",
"hasGender",
"male"
],
[
"Kirk_Penney",
"isCitizenOf",
"New_Zealand"
],
[
"Mika_Vukona",
"hasGender",
"male"
],
[
"Mika_Vukona",
"isCitizenOf",
"New_Zealand"
],
[
"Mike_Homik",
"hasGender",
"male"
],
[
"Mike_Homik",
"isCitizenOf",
"New_Zealand"
],
[
"New_Zealand",
"dealsWith",
"Australia"
],
[
"New_Zealand",
"dealsWith",
"United_States"
],
[
"New_Zealand",
"hasCapital",
"Wellington"
],
[
"New_Zealand",
"isLocatedIn",
"Oceania"
],
[
"Niue",
"isLocatedIn",
"New_Zealand"
],
[
"Niue",
"isLocatedIn",
"Oceania"
],
[
"Paul_Henare",
"hasGender",
"male"
],
[
"Paul_Henare",
"isCitizenOf",
"New_Zealand"
],
[
"Peter_Whittle",
"hasGender",
"male"
],
[
"Peter_Whittle",
"isCitizenOf",
"New_Zealand"
],
[
"Phill_Jones",
"hasGender",
"male"
],
[
"Phill_Jones",
"isCitizenOf",
"New_Zealand"
],
[
"Richard_O'Brien",
"hasGender",
"male"
],
[
"Richard_O'Brien",
"isCitizenOf",
"New_Zealand"
],
[
"Rubén_Darío_Bustos",
"hasGender",
"male"
],
[
"Samoa",
"dealsWith",
"New_Zealand"
],
[
"Samoa",
"isLocatedIn",
"Oceania"
],
[
"Tufuga_Efi",
"hasGender",
"male"
],
[
"Tufuga_Efi",
"isLeaderOf",
"Samoa"
],
[
"Tufuga_Efi",
"isPoliticianOf",
"Samoa"
],
[
"United_States",
"isLocatedIn",
"Oceania"
],
[
"Wellington",
"isLocatedIn",
"New_Zealand"
],
[
"Wellington",
"isLocatedIn",
"Oceania"
],
[
"William_Noel_Benson",
"hasGender",
"male"
],
[
"William_Noel_Benson",
"livesIn",
"New_Zealand"
],
[
"William_Phillips_(economist)",
"hasGender",
"male"
],
[
"William_Phillips_(economist)",
"isCitizenOf",
"New_Zealand"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
34272, Benigno_Aquino_III
63284, Diosdado_Macapagal
107741, Dominique_Wassi
104638, Gloria_Macapagal-Arroyo
121735, Joseph_Estrada
26482, Kabalikat_ng_Malayang_Pilipino
118104, male
src, edge_attr, dst
34272, hasGender, 118104
63284, hasChild, 104638
63284, hasGender, 118104
107741, hasGender, 118104
104638, hasChild, 34272
104638, isAffiliatedTo, 26482
121735, hasChild, 104638
121735, hasGender, 118104
Question: In what context are Dominique_Wassi and Kabalikat_ng_Malayang_Pilipino connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dominique_Wassi",
"Kabalikat_ng_Malayang_Pilipino"
],
"valid_edges": [
[
"Benigno_Aquino_III",
"hasGender",
"male"
],
[
"Diosdado_Macapagal",
"hasChild",
"Gloria_Macapagal-Arroyo"
],
[
"Diosdado_Macapagal",
"hasGender",
"male"
],
[
"Dominique_Wassi",
"hasGender",
"male"
],
[
"Gloria_Macapagal-Arroyo",
"hasChild",
"Benigno_Aquino_III"
],
[
"Gloria_Macapagal-Arroyo",
"isAffiliatedTo",
"Kabalikat_ng_Malayang_Pilipino"
],
[
"Joseph_Estrada",
"hasChild",
"Gloria_Macapagal-Arroyo"
],
[
"Joseph_Estrada",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
16458, Chintapalli_Ramana
89823, India
1710, Palakol
14784, Shinyanga_Region
52205, Tanzania
src, edge_attr, dst
16458, wasBornIn, 1710
1710, isLocatedIn, 89823
14784, isLocatedIn, 52205
52205, dealsWith, 89823
Question: For what reason are Chintapalli_Ramana and Shinyanga_Region associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Chintapalli_Ramana",
"Shinyanga_Region"
],
"valid_edges": [
[
"Chintapalli_Ramana",
"wasBornIn",
"Palakol"
],
[
"Palakol",
"isLocatedIn",
"India"
],
[
"Shinyanga_Region",
"isLocatedIn",
"Tanzania"
],
[
"Tanzania",
"dealsWith",
"India"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
101603, Cambridge
50670, Hartlepool_United_F.C.
113922, Isaac_Todhunter
5515, Kevin_Kyle
69911, Percy_Humphreys
src, edge_attr, dst
113922, diedIn, 101603
5515, isAffiliatedTo, 50670
5515, playsFor, 50670
69911, playsFor, 50670
69911, wasBornIn, 101603
Question: How are Isaac_Todhunter and Kevin_Kyle related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Isaac_Todhunter",
"Kevin_Kyle"
],
"valid_edges": [
[
"Isaac_Todhunter",
"diedIn",
"Cambridge"
],
[
"Kevin_Kyle",
"isAffiliatedTo",
"Hartlepool_United_F.C."
],
[
"Kevin_Kyle",
"playsFor",
"Hartlepool_United_F.C."
],
[
"Percy_Humphreys",
"playsFor",
"Hartlepool_United_F.C."
],
[
"Percy_Humphreys",
"wasBornIn",
"Cambridge"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
21462, 1._FC_Nuremberg
107411, 1._FC_Nürnberg
21017, Alexandros_Garpozis
60452, Amica_Wronki
122899, Arkadiusz_Malarz
58614, Bernd_Hobsch
39075, Christos_Maladenis
25357, Dimitrios_Zografakis
100649, Dimitris_Kyriakidis
88071, Edrissa_Sonko
10872, FC_Energie_Cottbus
76420, Francisco_Zuela
71955, GKS_Bełchatów
110597, Luciano_de_Souza
36468, Marek_Zieńczuk
84914, Mariusz_Kukiełka
119425, Michael_Gspurning
30989, Michał_Stasiak
112511, Miodrag_Živaljević
56504, Nikos_Karageorgiou
30158, P.A.O.K._Thessaloniki_F.C.
74802, PAOK_FC
108935, Panathinaikos_F.C.
88786, Panionios_G.S.S.
66423, Paschalis_Seretis
41597, Paweł_Linka
87668, Roda_JC_Kerkrade
11052, Skoda_Xanthi_F.C.
83875, Stade_Rennais_F.C.
102412, Stylianos_Venetidis
53040, Tomasz_Wisio
23035, Udo_Horsmann
26616, Wisła_Kraków
16503, Wolfgang_Wolf
22419, Zisis_Vryzas
src, edge_attr, dst
21017, isAffiliatedTo, 74802
21017, isAffiliatedTo, 11052
21017, playsFor, 74802
21017, playsFor, 11052
122899, isAffiliatedTo, 60452
122899, isAffiliatedTo, 71955
122899, isAffiliatedTo, 108935
122899, isAffiliatedTo, 11052
122899, playsFor, 60452
122899, playsFor, 71955
122899, playsFor, 108935
122899, playsFor, 11052
58614, isAffiliatedTo, 107411
58614, isAffiliatedTo, 83875
58614, playsFor, 107411
58614, playsFor, 83875
39075, isAffiliatedTo, 74802
39075, isAffiliatedTo, 11052
39075, playsFor, 74802
39075, playsFor, 11052
25357, isAffiliatedTo, 74802
25357, isAffiliatedTo, 88786
25357, isAffiliatedTo, 11052
25357, playsFor, 74802
25357, playsFor, 88786
25357, playsFor, 11052
100649, isAffiliatedTo, 74802
100649, isAffiliatedTo, 11052
100649, playsFor, 74802
100649, playsFor, 11052
88071, isAffiliatedTo, 87668
88071, isAffiliatedTo, 11052
88071, playsFor, 87668
88071, playsFor, 11052
76420, isAffiliatedTo, 30158
76420, isAffiliatedTo, 74802
76420, isAffiliatedTo, 11052
76420, playsFor, 74802
76420, playsFor, 11052
110597, isAffiliatedTo, 74802
110597, isAffiliatedTo, 88786
110597, isAffiliatedTo, 11052
110597, playsFor, 74802
110597, playsFor, 88786
110597, playsFor, 11052
36468, isAffiliatedTo, 60452
36468, isAffiliatedTo, 11052
36468, isAffiliatedTo, 26616
36468, playsFor, 60452
36468, playsFor, 11052
36468, playsFor, 26616
84914, isAffiliatedTo, 21462
84914, isAffiliatedTo, 107411
84914, isAffiliatedTo, 60452
84914, isAffiliatedTo, 10872
84914, isAffiliatedTo, 71955
84914, isAffiliatedTo, 30158
84914, isAffiliatedTo, 74802
84914, isAffiliatedTo, 87668
84914, isAffiliatedTo, 11052
84914, isAffiliatedTo, 26616
84914, playsFor, 107411
84914, playsFor, 60452
84914, playsFor, 10872
84914, playsFor, 71955
84914, playsFor, 74802
84914, playsFor, 87668
84914, playsFor, 11052
84914, playsFor, 26616
119425, isAffiliatedTo, 30158
119425, isAffiliatedTo, 74802
119425, isAffiliatedTo, 11052
119425, playsFor, 74802
119425, playsFor, 11052
30989, isAffiliatedTo, 60452
30989, isAffiliatedTo, 11052
30989, playsFor, 60452
30989, playsFor, 11052
112511, isAffiliatedTo, 107411
112511, isAffiliatedTo, 83875
112511, playsFor, 107411
112511, playsFor, 83875
56504, isAffiliatedTo, 74802
56504, isAffiliatedTo, 108935
56504, isAffiliatedTo, 11052
56504, playsFor, 74802
56504, playsFor, 108935
56504, playsFor, 11052
66423, isAffiliatedTo, 10872
66423, isAffiliatedTo, 74802
66423, isAffiliatedTo, 11052
66423, playsFor, 10872
66423, playsFor, 74802
66423, playsFor, 11052
41597, isAffiliatedTo, 60452
41597, isAffiliatedTo, 11052
41597, playsFor, 60452
41597, playsFor, 11052
102412, isAffiliatedTo, 74802
102412, isAffiliatedTo, 11052
102412, playsFor, 74802
102412, playsFor, 11052
53040, isAffiliatedTo, 11052
53040, isAffiliatedTo, 26616
53040, playsFor, 11052
53040, playsFor, 26616
23035, isAffiliatedTo, 107411
23035, isAffiliatedTo, 83875
23035, playsFor, 107411
23035, playsFor, 83875
16503, isAffiliatedTo, 21462
16503, isAffiliatedTo, 11052
22419, isAffiliatedTo, 74802
22419, isAffiliatedTo, 11052
22419, playsFor, 74802
22419, playsFor, 11052
Question: For what reason are Miodrag_Živaljević and Skoda_Xanthi_F.C. associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Miodrag_Živaljević",
"Skoda_Xanthi_F.C."
],
"valid_edges": [
[
"Alexandros_Garpozis",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Alexandros_Garpozis",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Alexandros_Garpozis",
"playsFor",
"PAOK_FC"
],
[
"Alexandros_Garpozis",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Arkadiusz_Malarz",
"isAffiliatedTo",
"Amica_Wronki"
],
[
"Arkadiusz_Malarz",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Arkadiusz_Malarz",
"isAffiliatedTo",
"Panathinaikos_F.C."
],
[
"Arkadiusz_Malarz",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Arkadiusz_Malarz",
"playsFor",
"Amica_Wronki"
],
[
"Arkadiusz_Malarz",
"playsFor",
"GKS_Bełchatów"
],
[
"Arkadiusz_Malarz",
"playsFor",
"Panathinaikos_F.C."
],
[
"Arkadiusz_Malarz",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Bernd_Hobsch",
"isAffiliatedTo",
"1._FC_Nürnberg"
],
[
"Bernd_Hobsch",
"isAffiliatedTo",
"Stade_Rennais_F.C."
],
[
"Bernd_Hobsch",
"playsFor",
"1._FC_Nürnberg"
],
[
"Bernd_Hobsch",
"playsFor",
"Stade_Rennais_F.C."
],
[
"Christos_Maladenis",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Christos_Maladenis",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Christos_Maladenis",
"playsFor",
"PAOK_FC"
],
[
"Christos_Maladenis",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Dimitrios_Zografakis",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Dimitrios_Zografakis",
"isAffiliatedTo",
"Panionios_G.S.S."
],
[
"Dimitrios_Zografakis",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Dimitrios_Zografakis",
"playsFor",
"PAOK_FC"
],
[
"Dimitrios_Zografakis",
"playsFor",
"Panionios_G.S.S."
],
[
"Dimitrios_Zografakis",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Dimitris_Kyriakidis",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Dimitris_Kyriakidis",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Dimitris_Kyriakidis",
"playsFor",
"PAOK_FC"
],
[
"Dimitris_Kyriakidis",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Edrissa_Sonko",
"isAffiliatedTo",
"Roda_JC_Kerkrade"
],
[
"Edrissa_Sonko",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Edrissa_Sonko",
"playsFor",
"Roda_JC_Kerkrade"
],
[
"Edrissa_Sonko",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Francisco_Zuela",
"isAffiliatedTo",
"P.A.O.K._Thessaloniki_F.C."
],
[
"Francisco_Zuela",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Francisco_Zuela",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Francisco_Zuela",
"playsFor",
"PAOK_FC"
],
[
"Francisco_Zuela",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Luciano_de_Souza",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Luciano_de_Souza",
"isAffiliatedTo",
"Panionios_G.S.S."
],
[
"Luciano_de_Souza",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Luciano_de_Souza",
"playsFor",
"PAOK_FC"
],
[
"Luciano_de_Souza",
"playsFor",
"Panionios_G.S.S."
],
[
"Luciano_de_Souza",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Marek_Zieńczuk",
"isAffiliatedTo",
"Amica_Wronki"
],
[
"Marek_Zieńczuk",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Marek_Zieńczuk",
"isAffiliatedTo",
"Wisła_Kraków"
],
[
"Marek_Zieńczuk",
"playsFor",
"Amica_Wronki"
],
[
"Marek_Zieńczuk",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Marek_Zieńczuk",
"playsFor",
"Wisła_Kraków"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"1._FC_Nuremberg"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"1._FC_Nürnberg"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"Amica_Wronki"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"FC_Energie_Cottbus"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"GKS_Bełchatów"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"P.A.O.K._Thessaloniki_F.C."
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"Roda_JC_Kerkrade"
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Mariusz_Kukiełka",
"isAffiliatedTo",
"Wisła_Kraków"
],
[
"Mariusz_Kukiełka",
"playsFor",
"1._FC_Nürnberg"
],
[
"Mariusz_Kukiełka",
"playsFor",
"Amica_Wronki"
],
[
"Mariusz_Kukiełka",
"playsFor",
"FC_Energie_Cottbus"
],
[
"Mariusz_Kukiełka",
"playsFor",
"GKS_Bełchatów"
],
[
"Mariusz_Kukiełka",
"playsFor",
"PAOK_FC"
],
[
"Mariusz_Kukiełka",
"playsFor",
"Roda_JC_Kerkrade"
],
[
"Mariusz_Kukiełka",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Mariusz_Kukiełka",
"playsFor",
"Wisła_Kraków"
],
[
"Michael_Gspurning",
"isAffiliatedTo",
"P.A.O.K._Thessaloniki_F.C."
],
[
"Michael_Gspurning",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Michael_Gspurning",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Michael_Gspurning",
"playsFor",
"PAOK_FC"
],
[
"Michael_Gspurning",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Michał_Stasiak",
"isAffiliatedTo",
"Amica_Wronki"
],
[
"Michał_Stasiak",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Michał_Stasiak",
"playsFor",
"Amica_Wronki"
],
[
"Michał_Stasiak",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Miodrag_Živaljević",
"isAffiliatedTo",
"1._FC_Nürnberg"
],
[
"Miodrag_Živaljević",
"isAffiliatedTo",
"Stade_Rennais_F.C."
],
[
"Miodrag_Živaljević",
"playsFor",
"1._FC_Nürnberg"
],
[
"Miodrag_Živaljević",
"playsFor",
"Stade_Rennais_F.C."
],
[
"Nikos_Karageorgiou",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Nikos_Karageorgiou",
"isAffiliatedTo",
"Panathinaikos_F.C."
],
[
"Nikos_Karageorgiou",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Nikos_Karageorgiou",
"playsFor",
"PAOK_FC"
],
[
"Nikos_Karageorgiou",
"playsFor",
"Panathinaikos_F.C."
],
[
"Nikos_Karageorgiou",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Paschalis_Seretis",
"isAffiliatedTo",
"FC_Energie_Cottbus"
],
[
"Paschalis_Seretis",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Paschalis_Seretis",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Paschalis_Seretis",
"playsFor",
"FC_Energie_Cottbus"
],
[
"Paschalis_Seretis",
"playsFor",
"PAOK_FC"
],
[
"Paschalis_Seretis",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Paweł_Linka",
"isAffiliatedTo",
"Amica_Wronki"
],
[
"Paweł_Linka",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Paweł_Linka",
"playsFor",
"Amica_Wronki"
],
[
"Paweł_Linka",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Stylianos_Venetidis",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Stylianos_Venetidis",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Stylianos_Venetidis",
"playsFor",
"PAOK_FC"
],
[
"Stylianos_Venetidis",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Tomasz_Wisio",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Tomasz_Wisio",
"isAffiliatedTo",
"Wisła_Kraków"
],
[
"Tomasz_Wisio",
"playsFor",
"Skoda_Xanthi_F.C."
],
[
"Tomasz_Wisio",
"playsFor",
"Wisła_Kraków"
],
[
"Udo_Horsmann",
"isAffiliatedTo",
"1._FC_Nürnberg"
],
[
"Udo_Horsmann",
"isAffiliatedTo",
"Stade_Rennais_F.C."
],
[
"Udo_Horsmann",
"playsFor",
"1._FC_Nürnberg"
],
[
"Udo_Horsmann",
"playsFor",
"Stade_Rennais_F.C."
],
[
"Wolfgang_Wolf",
"isAffiliatedTo",
"1._FC_Nuremberg"
],
[
"Wolfgang_Wolf",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Zisis_Vryzas",
"isAffiliatedTo",
"PAOK_FC"
],
[
"Zisis_Vryzas",
"isAffiliatedTo",
"Skoda_Xanthi_F.C."
],
[
"Zisis_Vryzas",
"playsFor",
"PAOK_FC"
],
[
"Zisis_Vryzas",
"playsFor",
"Skoda_Xanthi_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
70273, Frank_Temile
76792, Japan
40122, Kōriyama,_Fukushima
54313, Lagos
34763, Nigeria
src, edge_attr, dst
70273, wasBornIn, 54313
40122, isLocatedIn, 76792
54313, isLocatedIn, 34763
34763, dealsWith, 76792
34763, hasCapital, 54313
Question: For what reason are Frank_Temile and Kōriyama,_Fukushima associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Frank_Temile",
"Kōriyama,_Fukushima"
],
"valid_edges": [
[
"Frank_Temile",
"wasBornIn",
"Lagos"
],
[
"Kōriyama,_Fukushima",
"isLocatedIn",
"Japan"
],
[
"Lagos",
"isLocatedIn",
"Nigeria"
],
[
"Nigeria",
"dealsWith",
"Japan"
],
[
"Nigeria",
"hasCapital",
"Lagos"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
71786, 3_Ninjas_Kick_Back
88061, A_Simple_Plan_(film)
91067, Affymetrix
95802, Australia
61394, Bahrain
111723, Bangladesh
92956, Battle_of_Balikpapan_(1942)
72745, Battle_of_Guilin–Liuzhou
18897, Battle_of_Okinawa
78582, Battle_of_Sunda_Strait
97369, Battle_of_Tassafaronga
43180, Battle_of_Timor
96924, Battle_of_the_Java_Sea
16175, Boiling_Point_(1993_film)
56748, Bright_Lights,_Big_City_(film)
81061, Brother_(2000_film)
99069, Cambodia
108086, Canada
88946, Capcom
31598, Chile
45863, China
77841, Chinese_Box
84261, Cold_Fever
59170, Costa_Rica
4068, Crystal_Kay
73292, Dead_Man
8040, Dreams_(1990_film)
63726, Ei-ichi_Negishi
109712, Equatorial_Guinea
15901, Friendly_Fire_(2006_film)
13736, Gabon
74120, Gas_Powered_Games
110645, Godzilla_(1998_film)
98093, Heathcliff_(1984_TV_series)
110655, Hong_Kong
15870, ISG_Business_School
33806, Indonesia
76792, Japan
41139, Johnstown,_Pennsylvania
119597, King_Kong_Escapes
57645, Korean_War
98240, Kuwait
93174, Latitude_Zero_(film)
55674, Liberia
51681, Little_Vietnam
58956, Lost_in_Translation_(film)
102598, Macau
79493, Malaysia
78314, Man_on_the_Moon_(film)
40821, Marinduque
25342, Marvelous_Entertainment
119603, Mauritania
105048, Microsoft
115840, Mongolia
70613, Moro_insurgency_in_the_Philippines
85538, Mystery_Train_(film)
91557, Natsume_(company)
114482, New_Zealand
120481, Nexon_Co._Ltd.
27329, Niger
34763, Nigeria
85614, Night_on_Earth
104611, Nintendo
69176, Nippon_Ichi_Software
112418, Oman
121831, One_Missed_Call_(2008_film)
122711, Operation_Enduring_Freedom
59704, Operation_Enduring_Freedom_–_Horn_of_Africa
122810, Operation_K
57243, Papua_New_Guinea
38458, Peru
84827, Philippines
30627, Primary_Colors_(film)
71114, Qatar
30340, Quebec
122685, Redmond_(Washington)
104670, Saudi_Arabia
21450, Seattle_metropolitan_area
21278, Sierra_Leone
15575, Silent_Hill_(film)
29594, Singapore
69057, South_Africa
82590, South_Korea
6787, Supervolcano_(film)
24922, Suriname
48370, Thailand
9426, The_Brown_Bunny
75592, The_Hobbit_(1977_film)
112093, The_Indian_Runner
122101, The_Jackal_(1997_film)
79950, The_Mahabharata_(1989_film)
26604, The_Return_of_the_King_(1980_film)
65592, Tora!_Tora!_Tora!
94263, Ultra_Music_Festival
76200, United_Arab_Emirates
29157, United_States
84438, Vietnam
80180, Vita_Craft_Corporation
75056, War_on_Terror
35985, Washington_(state)
17460, Wonder_Boys_(film)
116107, Yoichiro_Nambu
16462, Zipper_Interactive
src, edge_attr, dst
71786, isLocatedIn, 76792
71786, isLocatedIn, 29157
88061, isLocatedIn, 76792
88061, isLocatedIn, 29157
91067, isLocatedIn, 76792
91067, isLocatedIn, 29157
95802, dealsWith, 76792
95802, dealsWith, 29157
61394, dealsWith, 76792
61394, dealsWith, 29157
111723, dealsWith, 76792
111723, dealsWith, 29157
92956, happenedIn, 76792
18897, happenedIn, 76792
18897, happenedIn, 29157
78582, happenedIn, 76792
97369, happenedIn, 76792
97369, happenedIn, 29157
96924, happenedIn, 76792
16175, isLocatedIn, 76792
16175, isLocatedIn, 29157
56748, isLocatedIn, 76792
56748, isLocatedIn, 29157
81061, isLocatedIn, 76792
81061, isLocatedIn, 29157
99069, dealsWith, 76792
99069, dealsWith, 29157
108086, dealsWith, 76792
108086, dealsWith, 29157
108086, hasNeighbor, 29157
88946, isLocatedIn, 76792
88946, isLocatedIn, 29157
31598, dealsWith, 76792
31598, dealsWith, 29157
45863, dealsWith, 76792
45863, dealsWith, 29157
77841, isLocatedIn, 76792
77841, isLocatedIn, 29157
84261, isLocatedIn, 76792
84261, isLocatedIn, 29157
59170, dealsWith, 76792
59170, dealsWith, 29157
4068, isCitizenOf, 76792
4068, isCitizenOf, 29157
73292, isLocatedIn, 76792
73292, isLocatedIn, 29157
8040, isLocatedIn, 76792
8040, isLocatedIn, 29157
63726, isCitizenOf, 76792
63726, livesIn, 29157
109712, dealsWith, 76792
109712, dealsWith, 29157
15901, isLocatedIn, 76792
15901, isLocatedIn, 29157
13736, dealsWith, 76792
13736, dealsWith, 29157
74120, isLocatedIn, 122685
74120, isLocatedIn, 29157
110645, isLocatedIn, 76792
110645, isLocatedIn, 29157
98093, isLocatedIn, 76792
98093, isLocatedIn, 29157
110655, dealsWith, 76792
110655, dealsWith, 29157
15870, isLocatedIn, 76792
15870, isLocatedIn, 29157
33806, dealsWith, 76792
33806, dealsWith, 29157
76792, dealsWith, 95802
76792, dealsWith, 45863
76792, dealsWith, 110655
76792, dealsWith, 71114
76792, dealsWith, 104670
76792, dealsWith, 82590
76792, dealsWith, 48370
76792, dealsWith, 76200
76792, dealsWith, 29157
76792, participatedIn, 72745
76792, participatedIn, 43180
76792, participatedIn, 57645
76792, participatedIn, 40821
76792, participatedIn, 70613
76792, participatedIn, 122711
76792, participatedIn, 59704
76792, participatedIn, 75056
41139, isLocatedIn, 29157
119597, isLocatedIn, 76792
119597, isLocatedIn, 29157
98240, dealsWith, 76792
98240, dealsWith, 29157
93174, isLocatedIn, 76792
93174, isLocatedIn, 29157
55674, dealsWith, 76792
55674, dealsWith, 29157
51681, isLocatedIn, 76792
51681, isLocatedIn, 29157
58956, isLocatedIn, 76792
58956, isLocatedIn, 29157
102598, dealsWith, 76792
102598, dealsWith, 29157
79493, dealsWith, 76792
79493, dealsWith, 29157
78314, isLocatedIn, 76792
78314, isLocatedIn, 29157
25342, isLocatedIn, 76792
25342, isLocatedIn, 29157
119603, dealsWith, 76792
119603, dealsWith, 29157
105048, isLocatedIn, 122685
105048, isLocatedIn, 29157
115840, dealsWith, 76792
115840, dealsWith, 29157
85538, isLocatedIn, 76792
85538, isLocatedIn, 29157
91557, isLocatedIn, 76792
91557, isLocatedIn, 29157
114482, dealsWith, 76792
114482, dealsWith, 29157
120481, isLocatedIn, 76792
120481, isLocatedIn, 29157
27329, dealsWith, 76792
27329, dealsWith, 29157
34763, dealsWith, 76792
34763, dealsWith, 29157
85614, isLocatedIn, 76792
85614, isLocatedIn, 29157
104611, isLocatedIn, 76792
104611, isLocatedIn, 122685
69176, isLocatedIn, 76792
69176, isLocatedIn, 29157
112418, dealsWith, 76792
112418, dealsWith, 29157
121831, isLocatedIn, 76792
121831, isLocatedIn, 29157
122810, happenedIn, 76792
122810, happenedIn, 29157
57243, dealsWith, 76792
57243, dealsWith, 29157
38458, dealsWith, 76792
38458, dealsWith, 29157
84827, dealsWith, 76792
84827, dealsWith, 29157
30627, isLocatedIn, 76792
30627, isLocatedIn, 29157
71114, dealsWith, 76792
71114, dealsWith, 29157
30340, dealsWith, 76792
30340, dealsWith, 29157
122685, isLocatedIn, 21450
122685, isLocatedIn, 35985
104670, dealsWith, 76792
104670, dealsWith, 29157
21450, isLocatedIn, 29157
21278, dealsWith, 76792
21278, dealsWith, 29157
15575, isLocatedIn, 76792
15575, isLocatedIn, 29157
29594, dealsWith, 76792
29594, dealsWith, 29157
69057, dealsWith, 76792
69057, dealsWith, 29157
82590, dealsWith, 76792
82590, dealsWith, 29157
6787, isLocatedIn, 76792
6787, isLocatedIn, 29157
24922, dealsWith, 76792
24922, dealsWith, 29157
48370, dealsWith, 76792
48370, dealsWith, 29157
9426, isLocatedIn, 76792
9426, isLocatedIn, 29157
75592, isLocatedIn, 76792
75592, isLocatedIn, 29157
112093, isLocatedIn, 76792
112093, isLocatedIn, 29157
122101, isLocatedIn, 76792
122101, isLocatedIn, 29157
79950, isLocatedIn, 76792
79950, isLocatedIn, 29157
26604, isLocatedIn, 76792
26604, isLocatedIn, 29157
65592, isLocatedIn, 76792
65592, isLocatedIn, 29157
94263, isLocatedIn, 76792
94263, isLocatedIn, 29157
76200, dealsWith, 76792
76200, dealsWith, 29157
29157, dealsWith, 108086
29157, dealsWith, 45863
29157, dealsWith, 76792
29157, hasNeighbor, 108086
29157, participatedIn, 92956
29157, participatedIn, 72745
29157, participatedIn, 18897
29157, participatedIn, 78582
29157, participatedIn, 97369
29157, participatedIn, 43180
29157, participatedIn, 96924
29157, participatedIn, 57645
29157, participatedIn, 40821
29157, participatedIn, 70613
29157, participatedIn, 122711
29157, participatedIn, 59704
29157, participatedIn, 122810
29157, participatedIn, 75056
84438, dealsWith, 76792
84438, dealsWith, 29157
80180, isLocatedIn, 76792
80180, isLocatedIn, 29157
35985, isLocatedIn, 29157
17460, isLocatedIn, 76792
17460, isLocatedIn, 29157
116107, isCitizenOf, 76792
116107, isCitizenOf, 29157
16462, isLocatedIn, 122685
16462, isLocatedIn, 29157
Question: How are Johnstown,_Pennsylvania and Nintendo related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Johnstown,_Pennsylvania",
"Nintendo"
],
"valid_edges": [
[
"3_Ninjas_Kick_Back",
"isLocatedIn",
"Japan"
],
[
"3_Ninjas_Kick_Back",
"isLocatedIn",
"United_States"
],
[
"A_Simple_Plan_(film)",
"isLocatedIn",
"Japan"
],
[
"A_Simple_Plan_(film)",
"isLocatedIn",
"United_States"
],
[
"Affymetrix",
"isLocatedIn",
"Japan"
],
[
"Affymetrix",
"isLocatedIn",
"United_States"
],
[
"Australia",
"dealsWith",
"Japan"
],
[
"Australia",
"dealsWith",
"United_States"
],
[
"Bahrain",
"dealsWith",
"Japan"
],
[
"Bahrain",
"dealsWith",
"United_States"
],
[
"Bangladesh",
"dealsWith",
"Japan"
],
[
"Bangladesh",
"dealsWith",
"United_States"
],
[
"Battle_of_Balikpapan_(1942)",
"happenedIn",
"Japan"
],
[
"Battle_of_Okinawa",
"happenedIn",
"Japan"
],
[
"Battle_of_Okinawa",
"happenedIn",
"United_States"
],
[
"Battle_of_Sunda_Strait",
"happenedIn",
"Japan"
],
[
"Battle_of_Tassafaronga",
"happenedIn",
"Japan"
],
[
"Battle_of_Tassafaronga",
"happenedIn",
"United_States"
],
[
"Battle_of_the_Java_Sea",
"happenedIn",
"Japan"
],
[
"Boiling_Point_(1993_film)",
"isLocatedIn",
"Japan"
],
[
"Boiling_Point_(1993_film)",
"isLocatedIn",
"United_States"
],
[
"Bright_Lights,_Big_City_(film)",
"isLocatedIn",
"Japan"
],
[
"Bright_Lights,_Big_City_(film)",
"isLocatedIn",
"United_States"
],
[
"Brother_(2000_film)",
"isLocatedIn",
"Japan"
],
[
"Brother_(2000_film)",
"isLocatedIn",
"United_States"
],
[
"Cambodia",
"dealsWith",
"Japan"
],
[
"Cambodia",
"dealsWith",
"United_States"
],
[
"Canada",
"dealsWith",
"Japan"
],
[
"Canada",
"dealsWith",
"United_States"
],
[
"Canada",
"hasNeighbor",
"United_States"
],
[
"Capcom",
"isLocatedIn",
"Japan"
],
[
"Capcom",
"isLocatedIn",
"United_States"
],
[
"Chile",
"dealsWith",
"Japan"
],
[
"Chile",
"dealsWith",
"United_States"
],
[
"China",
"dealsWith",
"Japan"
],
[
"China",
"dealsWith",
"United_States"
],
[
"Chinese_Box",
"isLocatedIn",
"Japan"
],
[
"Chinese_Box",
"isLocatedIn",
"United_States"
],
[
"Cold_Fever",
"isLocatedIn",
"Japan"
],
[
"Cold_Fever",
"isLocatedIn",
"United_States"
],
[
"Costa_Rica",
"dealsWith",
"Japan"
],
[
"Costa_Rica",
"dealsWith",
"United_States"
],
[
"Crystal_Kay",
"isCitizenOf",
"Japan"
],
[
"Crystal_Kay",
"isCitizenOf",
"United_States"
],
[
"Dead_Man",
"isLocatedIn",
"Japan"
],
[
"Dead_Man",
"isLocatedIn",
"United_States"
],
[
"Dreams_(1990_film)",
"isLocatedIn",
"Japan"
],
[
"Dreams_(1990_film)",
"isLocatedIn",
"United_States"
],
[
"Ei-ichi_Negishi",
"isCitizenOf",
"Japan"
],
[
"Ei-ichi_Negishi",
"livesIn",
"United_States"
],
[
"Equatorial_Guinea",
"dealsWith",
"Japan"
],
[
"Equatorial_Guinea",
"dealsWith",
"United_States"
],
[
"Friendly_Fire_(2006_film)",
"isLocatedIn",
"Japan"
],
[
"Friendly_Fire_(2006_film)",
"isLocatedIn",
"United_States"
],
[
"Gabon",
"dealsWith",
"Japan"
],
[
"Gabon",
"dealsWith",
"United_States"
],
[
"Gas_Powered_Games",
"isLocatedIn",
"Redmond_(Washington)"
],
[
"Gas_Powered_Games",
"isLocatedIn",
"United_States"
],
[
"Godzilla_(1998_film)",
"isLocatedIn",
"Japan"
],
[
"Godzilla_(1998_film)",
"isLocatedIn",
"United_States"
],
[
"Heathcliff_(1984_TV_series)",
"isLocatedIn",
"Japan"
],
[
"Heathcliff_(1984_TV_series)",
"isLocatedIn",
"United_States"
],
[
"Hong_Kong",
"dealsWith",
"Japan"
],
[
"Hong_Kong",
"dealsWith",
"United_States"
],
[
"ISG_Business_School",
"isLocatedIn",
"Japan"
],
[
"ISG_Business_School",
"isLocatedIn",
"United_States"
],
[
"Indonesia",
"dealsWith",
"Japan"
],
[
"Indonesia",
"dealsWith",
"United_States"
],
[
"Japan",
"dealsWith",
"Australia"
],
[
"Japan",
"dealsWith",
"China"
],
[
"Japan",
"dealsWith",
"Hong_Kong"
],
[
"Japan",
"dealsWith",
"Qatar"
],
[
"Japan",
"dealsWith",
"Saudi_Arabia"
],
[
"Japan",
"dealsWith",
"South_Korea"
],
[
"Japan",
"dealsWith",
"Thailand"
],
[
"Japan",
"dealsWith",
"United_Arab_Emirates"
],
[
"Japan",
"dealsWith",
"United_States"
],
[
"Japan",
"participatedIn",
"Battle_of_Guilin–Liuzhou"
],
[
"Japan",
"participatedIn",
"Battle_of_Timor"
],
[
"Japan",
"participatedIn",
"Korean_War"
],
[
"Japan",
"participatedIn",
"Marinduque"
],
[
"Japan",
"participatedIn",
"Moro_insurgency_in_the_Philippines"
],
[
"Japan",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"Japan",
"participatedIn",
"Operation_Enduring_Freedom_–_Horn_of_Africa"
],
[
"Japan",
"participatedIn",
"War_on_Terror"
],
[
"Johnstown,_Pennsylvania",
"isLocatedIn",
"United_States"
],
[
"King_Kong_Escapes",
"isLocatedIn",
"Japan"
],
[
"King_Kong_Escapes",
"isLocatedIn",
"United_States"
],
[
"Kuwait",
"dealsWith",
"Japan"
],
[
"Kuwait",
"dealsWith",
"United_States"
],
[
"Latitude_Zero_(film)",
"isLocatedIn",
"Japan"
],
[
"Latitude_Zero_(film)",
"isLocatedIn",
"United_States"
],
[
"Liberia",
"dealsWith",
"Japan"
],
[
"Liberia",
"dealsWith",
"United_States"
],
[
"Little_Vietnam",
"isLocatedIn",
"Japan"
],
[
"Little_Vietnam",
"isLocatedIn",
"United_States"
],
[
"Lost_in_Translation_(film)",
"isLocatedIn",
"Japan"
],
[
"Lost_in_Translation_(film)",
"isLocatedIn",
"United_States"
],
[
"Macau",
"dealsWith",
"Japan"
],
[
"Macau",
"dealsWith",
"United_States"
],
[
"Malaysia",
"dealsWith",
"Japan"
],
[
"Malaysia",
"dealsWith",
"United_States"
],
[
"Man_on_the_Moon_(film)",
"isLocatedIn",
"Japan"
],
[
"Man_on_the_Moon_(film)",
"isLocatedIn",
"United_States"
],
[
"Marvelous_Entertainment",
"isLocatedIn",
"Japan"
],
[
"Marvelous_Entertainment",
"isLocatedIn",
"United_States"
],
[
"Mauritania",
"dealsWith",
"Japan"
],
[
"Mauritania",
"dealsWith",
"United_States"
],
[
"Microsoft",
"isLocatedIn",
"Redmond_(Washington)"
],
[
"Microsoft",
"isLocatedIn",
"United_States"
],
[
"Mongolia",
"dealsWith",
"Japan"
],
[
"Mongolia",
"dealsWith",
"United_States"
],
[
"Mystery_Train_(film)",
"isLocatedIn",
"Japan"
],
[
"Mystery_Train_(film)",
"isLocatedIn",
"United_States"
],
[
"Natsume_(company)",
"isLocatedIn",
"Japan"
],
[
"Natsume_(company)",
"isLocatedIn",
"United_States"
],
[
"New_Zealand",
"dealsWith",
"Japan"
],
[
"New_Zealand",
"dealsWith",
"United_States"
],
[
"Nexon_Co._Ltd.",
"isLocatedIn",
"Japan"
],
[
"Nexon_Co._Ltd.",
"isLocatedIn",
"United_States"
],
[
"Niger",
"dealsWith",
"Japan"
],
[
"Niger",
"dealsWith",
"United_States"
],
[
"Nigeria",
"dealsWith",
"Japan"
],
[
"Nigeria",
"dealsWith",
"United_States"
],
[
"Night_on_Earth",
"isLocatedIn",
"Japan"
],
[
"Night_on_Earth",
"isLocatedIn",
"United_States"
],
[
"Nintendo",
"isLocatedIn",
"Japan"
],
[
"Nintendo",
"isLocatedIn",
"Redmond_(Washington)"
],
[
"Nippon_Ichi_Software",
"isLocatedIn",
"Japan"
],
[
"Nippon_Ichi_Software",
"isLocatedIn",
"United_States"
],
[
"Oman",
"dealsWith",
"Japan"
],
[
"Oman",
"dealsWith",
"United_States"
],
[
"One_Missed_Call_(2008_film)",
"isLocatedIn",
"Japan"
],
[
"One_Missed_Call_(2008_film)",
"isLocatedIn",
"United_States"
],
[
"Operation_K",
"happenedIn",
"Japan"
],
[
"Operation_K",
"happenedIn",
"United_States"
],
[
"Papua_New_Guinea",
"dealsWith",
"Japan"
],
[
"Papua_New_Guinea",
"dealsWith",
"United_States"
],
[
"Peru",
"dealsWith",
"Japan"
],
[
"Peru",
"dealsWith",
"United_States"
],
[
"Philippines",
"dealsWith",
"Japan"
],
[
"Philippines",
"dealsWith",
"United_States"
],
[
"Primary_Colors_(film)",
"isLocatedIn",
"Japan"
],
[
"Primary_Colors_(film)",
"isLocatedIn",
"United_States"
],
[
"Qatar",
"dealsWith",
"Japan"
],
[
"Qatar",
"dealsWith",
"United_States"
],
[
"Quebec",
"dealsWith",
"Japan"
],
[
"Quebec",
"dealsWith",
"United_States"
],
[
"Redmond_(Washington)",
"isLocatedIn",
"Seattle_metropolitan_area"
],
[
"Redmond_(Washington)",
"isLocatedIn",
"Washington_(state)"
],
[
"Saudi_Arabia",
"dealsWith",
"Japan"
],
[
"Saudi_Arabia",
"dealsWith",
"United_States"
],
[
"Seattle_metropolitan_area",
"isLocatedIn",
"United_States"
],
[
"Sierra_Leone",
"dealsWith",
"Japan"
],
[
"Sierra_Leone",
"dealsWith",
"United_States"
],
[
"Silent_Hill_(film)",
"isLocatedIn",
"Japan"
],
[
"Silent_Hill_(film)",
"isLocatedIn",
"United_States"
],
[
"Singapore",
"dealsWith",
"Japan"
],
[
"Singapore",
"dealsWith",
"United_States"
],
[
"South_Africa",
"dealsWith",
"Japan"
],
[
"South_Africa",
"dealsWith",
"United_States"
],
[
"South_Korea",
"dealsWith",
"Japan"
],
[
"South_Korea",
"dealsWith",
"United_States"
],
[
"Supervolcano_(film)",
"isLocatedIn",
"Japan"
],
[
"Supervolcano_(film)",
"isLocatedIn",
"United_States"
],
[
"Suriname",
"dealsWith",
"Japan"
],
[
"Suriname",
"dealsWith",
"United_States"
],
[
"Thailand",
"dealsWith",
"Japan"
],
[
"Thailand",
"dealsWith",
"United_States"
],
[
"The_Brown_Bunny",
"isLocatedIn",
"Japan"
],
[
"The_Brown_Bunny",
"isLocatedIn",
"United_States"
],
[
"The_Hobbit_(1977_film)",
"isLocatedIn",
"Japan"
],
[
"The_Hobbit_(1977_film)",
"isLocatedIn",
"United_States"
],
[
"The_Indian_Runner",
"isLocatedIn",
"Japan"
],
[
"The_Indian_Runner",
"isLocatedIn",
"United_States"
],
[
"The_Jackal_(1997_film)",
"isLocatedIn",
"Japan"
],
[
"The_Jackal_(1997_film)",
"isLocatedIn",
"United_States"
],
[
"The_Mahabharata_(1989_film)",
"isLocatedIn",
"Japan"
],
[
"The_Mahabharata_(1989_film)",
"isLocatedIn",
"United_States"
],
[
"The_Return_of_the_King_(1980_film)",
"isLocatedIn",
"Japan"
],
[
"The_Return_of_the_King_(1980_film)",
"isLocatedIn",
"United_States"
],
[
"Tora!_Tora!_Tora!",
"isLocatedIn",
"Japan"
],
[
"Tora!_Tora!_Tora!",
"isLocatedIn",
"United_States"
],
[
"Ultra_Music_Festival",
"isLocatedIn",
"Japan"
],
[
"Ultra_Music_Festival",
"isLocatedIn",
"United_States"
],
[
"United_Arab_Emirates",
"dealsWith",
"Japan"
],
[
"United_Arab_Emirates",
"dealsWith",
"United_States"
],
[
"United_States",
"dealsWith",
"Canada"
],
[
"United_States",
"dealsWith",
"China"
],
[
"United_States",
"dealsWith",
"Japan"
],
[
"United_States",
"hasNeighbor",
"Canada"
],
[
"United_States",
"participatedIn",
"Battle_of_Balikpapan_(1942)"
],
[
"United_States",
"participatedIn",
"Battle_of_Guilin–Liuzhou"
],
[
"United_States",
"participatedIn",
"Battle_of_Okinawa"
],
[
"United_States",
"participatedIn",
"Battle_of_Sunda_Strait"
],
[
"United_States",
"participatedIn",
"Battle_of_Tassafaronga"
],
[
"United_States",
"participatedIn",
"Battle_of_Timor"
],
[
"United_States",
"participatedIn",
"Battle_of_the_Java_Sea"
],
[
"United_States",
"participatedIn",
"Korean_War"
],
[
"United_States",
"participatedIn",
"Marinduque"
],
[
"United_States",
"participatedIn",
"Moro_insurgency_in_the_Philippines"
],
[
"United_States",
"participatedIn",
"Operation_Enduring_Freedom"
],
[
"United_States",
"participatedIn",
"Operation_Enduring_Freedom_–_Horn_of_Africa"
],
[
"United_States",
"participatedIn",
"Operation_K"
],
[
"United_States",
"participatedIn",
"War_on_Terror"
],
[
"Vietnam",
"dealsWith",
"Japan"
],
[
"Vietnam",
"dealsWith",
"United_States"
],
[
"Vita_Craft_Corporation",
"isLocatedIn",
"Japan"
],
[
"Vita_Craft_Corporation",
"isLocatedIn",
"United_States"
],
[
"Washington_(state)",
"isLocatedIn",
"United_States"
],
[
"Wonder_Boys_(film)",
"isLocatedIn",
"Japan"
],
[
"Wonder_Boys_(film)",
"isLocatedIn",
"United_States"
],
[
"Yoichiro_Nambu",
"isCitizenOf",
"Japan"
],
[
"Yoichiro_Nambu",
"isCitizenOf",
"United_States"
],
[
"Zipper_Interactive",
"isLocatedIn",
"Redmond_(Washington)"
],
[
"Zipper_Interactive",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
47763, British_Columbia
108086, Canada
67245, David_Suzuki
4595, George_Pearkes
23835, Joseph_Mallozzi
82646, Lee_Tockar
80084, Penticton
64177, Regional_District_of_Okanagan-Similkameen
20434, Sead_Babača
38218, Tim_Bray
10321, Tim_Stevenson
118104, male
src, edge_attr, dst
47763, isLocatedIn, 108086
67245, hasGender, 118104
67245, livesIn, 47763
4595, hasGender, 118104
4595, isPoliticianOf, 47763
23835, hasGender, 118104
23835, livesIn, 47763
82646, hasGender, 118104
82646, livesIn, 47763
80084, isLocatedIn, 47763
80084, isLocatedIn, 108086
80084, isLocatedIn, 64177
64177, isLocatedIn, 47763
64177, isLocatedIn, 80084
20434, hasGender, 118104
38218, hasGender, 118104
38218, livesIn, 47763
10321, hasGender, 118104
10321, livesIn, 47763
Question: For what reason are Regional_District_of_Okanagan-Similkameen and Sead_Babača associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Regional_District_of_Okanagan-Similkameen",
"Sead_Babača"
],
"valid_edges": [
[
"British_Columbia",
"isLocatedIn",
"Canada"
],
[
"David_Suzuki",
"hasGender",
"male"
],
[
"David_Suzuki",
"livesIn",
"British_Columbia"
],
[
"George_Pearkes",
"hasGender",
"male"
],
[
"George_Pearkes",
"isPoliticianOf",
"British_Columbia"
],
[
"Joseph_Mallozzi",
"hasGender",
"male"
],
[
"Joseph_Mallozzi",
"livesIn",
"British_Columbia"
],
[
"Lee_Tockar",
"hasGender",
"male"
],
[
"Lee_Tockar",
"livesIn",
"British_Columbia"
],
[
"Penticton",
"isLocatedIn",
"British_Columbia"
],
[
"Penticton",
"isLocatedIn",
"Canada"
],
[
"Penticton",
"isLocatedIn",
"Regional_District_of_Okanagan-Similkameen"
],
[
"Regional_District_of_Okanagan-Similkameen",
"isLocatedIn",
"British_Columbia"
],
[
"Regional_District_of_Okanagan-Similkameen",
"isLocatedIn",
"Penticton"
],
[
"Sead_Babača",
"hasGender",
"male"
],
[
"Tim_Bray",
"hasGender",
"male"
],
[
"Tim_Bray",
"livesIn",
"British_Columbia"
],
[
"Tim_Stevenson",
"hasGender",
"male"
],
[
"Tim_Stevenson",
"livesIn",
"British_Columbia"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
18413, Ali_Bilgin
11271, Alois_Schwartz
5126, Andre_Hoffmann_(footballer)
22933, Arnold_Schwarzenegger
109414, Avaya
101031, Benjamin_Baltes
101438, Benjamin_Köhler
78819, California
88946, Capcom
104900, Dennis_Brinkmann
9333, Desmond_Harrington
14131, Dietmar_Klinger
17150, Dirk_Caspers
9099, Dirk_Langerbein
93212, Elton_Gallegly
16286, Essen
47591, FC_Augsburg
34734, Frank_Mill
112092, Frank_Saborowski
54269, George_Deukmejian
61995, Germany
88777, Gray_Davis
76454, Haim_Saban
55702, Haluk_Türkeri
19049, Hans_Küppers
44235, Heckscher–Ohlin_model
40801, Heinz_Höher
62094, Helmut_Rahn
57531, Holger_Fach
92649, Holger_Wehlage
13221, Horst_Trimhold
59369, Hostage_(film)
98127, How_Few_Remain
716, Ingo_Pickenäcker
54804, Issa_Issa
11685, Jay_Hernandez
31503, Jean_Fuller
68141, Jenny_Shimizu
44485, Jens_Lehmann
97911, Jesse_Dylan
48288, Jim_Belushi
71361, Joel_Anderson
92616, John_B._T._Campbell_III
92700, John_Cassavetes
23148, Jonathan_Rhys_Meyers
120729, Joseph_Cornell
79720, Josh_Hartnett
45896, Jürgen_Gelsdorf
36045, Jürgen_Rollmann
56185, Jürgen_Wegmann
5523, Karl-Heinz_Spikofski
5667, Karyn_Kusama
120256, Kevin_Schindler
79353, Kuno_Klötzer
60293, Leland_Stanford
16298, Lena_Headey
29736, Long_Beach
110262, Los_Angeles
43137, MSV_Duisburg
43518, Malibu,_California
60709, Manfred_Burgsmüller
119886, Manfred_Müller
53326, Marcus_Wedau
96459, Marian_Sarr
23953, Mario_Klinger
54067, Marius_Ebbers
45892, Markus_Heppke
121974, Markus_Kurth
91108, Markus_Neumayr
94498, Markus_Reiter
69212, Menlo_Park,_California
34180, Michael_Blum_(footballer)
36541, Michael_Lameck
75648, Michael_Lusch
50645, Michael_Tönnies
92382, Mike_Simpson
119516, Mirari_Films
20422, Moritz_Stoppelkamp
120481, Nexon_Co._Ltd.
36464, North_Rhine-Westphalia
94176, Otto_Rehhagel
67223, Pandemic_Studios
19012, Pat_Brown
70044, Pete_Wilson
80854, Peter_Neururer
106700, Predrag_Stevanović
63465, Princess_Maria_Anna_of_Anhalt-Dessau
71669, Rade_Šerbedžija
62003, Rafael_Kazior
93078, Richard_Riordan
78252, Robert_Dutton
117411, Roland_Emmerich
118256, Romeo_Filipović
120955, Ronald_Reagan
95097, Rot-Weiss_Essen
122081, Rudi_Gores
77522, San_Francisco
76022, San_Mateo_County,_California
69246, Santa_Clara,_California
79506, Sascha_Mölders
77670, Schwarz-Weiß_Essen
1125, Sercan_Güvenışık
29186, Serkan_Çalik
54565, Sven_Neuhaus
102239, Swapan_Chattopadhyay
84892, Sören_Brandy
10093, Sören_Pirson
66706, Terence_Tao
23737, Thomas_Hörster
123012, Thomas_Strunz
115375, Tiko_Messina
101868, Tim_Erfen
52437, Timo_Brauer
97874, Tom_Berryhill
71942, Tony_Strickland
29157, United_States
98557, Universal_Music_Group
12623, University_of_California,_Santa_Barbara
101107, University_of_Southern_California
21647, Uwe_Möhrle
58979, Uwe_Reinders
117661, Volker_Abramczik
13277, Wesley_Clair_Mitchell
62470, West_Hollywood,_California
55378, William_P._Clark,_Jr.
93604, Wolfgang_Frank
37748, de/Alexander_Löbe
33263, de/Fred-Werner_Bockholt
src, edge_attr, dst
18413, isAffiliatedTo, 43137
18413, isAffiliatedTo, 95097
18413, playsFor, 95097
18413, wasBornIn, 16286
11271, isAffiliatedTo, 43137
11271, isAffiliatedTo, 95097
5126, isAffiliatedTo, 43137
5126, playsFor, 43137
5126, wasBornIn, 16286
22933, isPoliticianOf, 78819
22933, isPoliticianOf, 29157
22933, livesIn, 78819
109414, isLocatedIn, 78819
109414, isLocatedIn, 29157
101031, isAffiliatedTo, 43137
101031, isAffiliatedTo, 95097
101031, playsFor, 95097
101438, isAffiliatedTo, 43137
101438, isAffiliatedTo, 95097
101438, playsFor, 43137
101438, playsFor, 95097
78819, hasCapital, 110262
78819, isLocatedIn, 29157
88946, isLocatedIn, 78819
88946, isLocatedIn, 29157
104900, isAffiliatedTo, 95097
104900, playsFor, 95097
104900, wasBornIn, 16286
9333, livesIn, 78819
9333, livesIn, 29157
14131, isAffiliatedTo, 95097
14131, isAffiliatedTo, 77670
14131, playsFor, 95097
14131, playsFor, 77670
14131, wasBornIn, 16286
17150, isAffiliatedTo, 95097
17150, isAffiliatedTo, 77670
17150, playsFor, 95097
17150, playsFor, 77670
9099, isAffiliatedTo, 43137
9099, isAffiliatedTo, 95097
9099, playsFor, 43137
9099, playsFor, 95097
93212, livesIn, 78819
93212, livesIn, 29157
16286, isLocatedIn, 61995
16286, isLocatedIn, 36464
34734, isAffiliatedTo, 95097
34734, playsFor, 95097
34734, wasBornIn, 16286
112092, isAffiliatedTo, 43137
112092, isAffiliatedTo, 95097
112092, playsFor, 43137
112092, playsFor, 95097
54269, isPoliticianOf, 78819
54269, isPoliticianOf, 29157
54269, livesIn, 78819
61995, dealsWith, 29157
61995, hasCapital, 16286
88777, isPoliticianOf, 78819
88777, isPoliticianOf, 29157
88777, livesIn, 78819
88777, livesIn, 29157
76454, isCitizenOf, 29157
76454, livesIn, 78819
55702, isAffiliatedTo, 43137
55702, isAffiliatedTo, 95097
55702, playsFor, 43137
55702, playsFor, 95097
19049, isAffiliatedTo, 77670
19049, playsFor, 77670
19049, wasBornIn, 16286
44235, playsFor, 43137
44235, playsFor, 95097
40801, isAffiliatedTo, 43137
40801, isAffiliatedTo, 77670
40801, playsFor, 43137
62094, diedIn, 16286
62094, isAffiliatedTo, 43137
62094, isAffiliatedTo, 95097
62094, playsFor, 43137
62094, playsFor, 95097
62094, wasBornIn, 16286
57531, isAffiliatedTo, 47591
57531, isAffiliatedTo, 95097
92649, isAffiliatedTo, 43137
92649, isAffiliatedTo, 95097
92649, playsFor, 43137
92649, playsFor, 95097
13221, isAffiliatedTo, 77670
13221, playsFor, 77670
13221, wasBornIn, 16286
59369, isLocatedIn, 78819
59369, isLocatedIn, 29157
98127, happenedIn, 78819
98127, isLocatedIn, 29157
716, isAffiliatedTo, 95097
716, playsFor, 95097
716, wasBornIn, 16286
54804, isAffiliatedTo, 95097
54804, isAffiliatedTo, 77670
11685, livesIn, 78819
11685, livesIn, 29157
31503, isCitizenOf, 29157
31503, livesIn, 78819
68141, playsFor, 95097
68141, playsFor, 77670
44485, isAffiliatedTo, 77670
44485, wasBornIn, 16286
97911, isCitizenOf, 29157
97911, livesIn, 78819
48288, isCitizenOf, 29157
48288, livesIn, 78819
71361, isCitizenOf, 29157
71361, livesIn, 78819
92616, livesIn, 78819
92616, livesIn, 29157
92700, isCitizenOf, 29157
92700, livesIn, 78819
23148, livesIn, 78819
23148, livesIn, 29157
120729, isCitizenOf, 29157
120729, playsFor, 95097
79720, livesIn, 78819
79720, livesIn, 29157
45896, isAffiliatedTo, 43137
45896, isAffiliatedTo, 95097
45896, playsFor, 43137
36045, isAffiliatedTo, 47591
36045, isAffiliatedTo, 43137
36045, playsFor, 47591
36045, playsFor, 43137
56185, isAffiliatedTo, 43137
56185, isAffiliatedTo, 95097
56185, playsFor, 43137
56185, playsFor, 95097
56185, wasBornIn, 16286
5523, isAffiliatedTo, 47591
5523, isAffiliatedTo, 95097
5523, playsFor, 95097
5523, wasBornIn, 16286
5667, isCitizenOf, 29157
5667, livesIn, 78819
120256, isAffiliatedTo, 47591
120256, isAffiliatedTo, 43137
120256, playsFor, 47591
120256, playsFor, 43137
79353, isAffiliatedTo, 43137
79353, isAffiliatedTo, 95097
79353, isAffiliatedTo, 77670
60293, isPoliticianOf, 78819
60293, isPoliticianOf, 29157
16298, livesIn, 78819
16298, livesIn, 29157
29736, isLocatedIn, 78819
29736, isLocatedIn, 29157
110262, isLocatedIn, 78819
110262, isLocatedIn, 29157
43137, isLocatedIn, 36464
43518, isLocatedIn, 78819
43518, isLocatedIn, 29157
60709, isAffiliatedTo, 95097
60709, playsFor, 95097
60709, wasBornIn, 16286
119886, isAffiliatedTo, 77670
119886, playsFor, 77670
119886, wasBornIn, 16286
53326, isAffiliatedTo, 43137
53326, isAffiliatedTo, 95097
53326, playsFor, 43137
53326, playsFor, 95097
96459, playsFor, 77670
96459, wasBornIn, 16286
23953, isAffiliatedTo, 95097
23953, playsFor, 95097
23953, wasBornIn, 16286
54067, isAffiliatedTo, 43137
54067, isAffiliatedTo, 77670
54067, playsFor, 43137
54067, wasBornIn, 16286
45892, isAffiliatedTo, 95097
45892, playsFor, 95097
45892, wasBornIn, 16286
121974, isAffiliatedTo, 43137
121974, isAffiliatedTo, 95097
121974, playsFor, 43137
121974, playsFor, 95097
91108, isAffiliatedTo, 43137
91108, isAffiliatedTo, 95097
91108, playsFor, 43137
91108, playsFor, 95097
94498, isAffiliatedTo, 43137
94498, isAffiliatedTo, 77670
94498, playsFor, 43137
94498, playsFor, 77670
94498, wasBornIn, 16286
69212, isLocatedIn, 78819
69212, isLocatedIn, 29157
34180, isAffiliatedTo, 43137
34180, isAffiliatedTo, 95097
34180, playsFor, 43137
36541, isAffiliatedTo, 77670
36541, playsFor, 77670
36541, wasBornIn, 16286
75648, isAffiliatedTo, 95097
75648, isAffiliatedTo, 77670
75648, playsFor, 95097
75648, playsFor, 77670
50645, isAffiliatedTo, 43137
50645, isAffiliatedTo, 95097
50645, playsFor, 43137
50645, playsFor, 95097
50645, wasBornIn, 16286
92382, isCitizenOf, 29157
92382, playsFor, 43137
119516, isLocatedIn, 78819
119516, isLocatedIn, 29157
20422, isAffiliatedTo, 43137
20422, isAffiliatedTo, 95097
20422, playsFor, 43137
20422, playsFor, 95097
120481, isLocatedIn, 78819
120481, isLocatedIn, 29157
94176, isAffiliatedTo, 95097
94176, playsFor, 95097
94176, wasBornIn, 16286
67223, isLocatedIn, 78819
67223, isLocatedIn, 29157
19012, isPoliticianOf, 78819
19012, isPoliticianOf, 29157
70044, isPoliticianOf, 78819
70044, isPoliticianOf, 29157
80854, isAffiliatedTo, 43137
80854, isAffiliatedTo, 95097
106700, isAffiliatedTo, 95097
106700, playsFor, 95097
106700, wasBornIn, 16286
63465, playsFor, 43137
63465, playsFor, 95097
71669, livesIn, 78819
71669, livesIn, 29157
62003, isAffiliatedTo, 43137
62003, isAffiliatedTo, 95097
62003, playsFor, 43137
62003, playsFor, 95097
93078, livesIn, 78819
93078, livesIn, 29157
78252, isCitizenOf, 29157
78252, livesIn, 78819
78252, livesIn, 29157
117411, livesIn, 78819
117411, livesIn, 29157
118256, isAffiliatedTo, 43137
118256, isAffiliatedTo, 95097
118256, playsFor, 43137
118256, playsFor, 95097
120955, isPoliticianOf, 78819
120955, isPoliticianOf, 29157
95097, isLocatedIn, 16286
95097, isLocatedIn, 36464
122081, isAffiliatedTo, 43137
122081, isAffiliatedTo, 95097
122081, playsFor, 43137
77522, isLocatedIn, 78819
77522, isLocatedIn, 29157
76022, isLocatedIn, 78819
76022, isLocatedIn, 29157
69246, isLocatedIn, 78819
69246, isLocatedIn, 29157
79506, isAffiliatedTo, 47591
79506, isAffiliatedTo, 43137
79506, isAffiliatedTo, 95097
79506, isAffiliatedTo, 77670
79506, playsFor, 47591
79506, playsFor, 43137
79506, playsFor, 95097
79506, playsFor, 77670
79506, wasBornIn, 16286
77670, isLocatedIn, 16286
77670, isLocatedIn, 36464
1125, isAffiliatedTo, 47591
1125, isAffiliatedTo, 43137
1125, isAffiliatedTo, 95097
1125, playsFor, 43137
1125, playsFor, 95097
29186, isAffiliatedTo, 43137
29186, isAffiliatedTo, 95097
29186, playsFor, 43137
29186, playsFor, 95097
54565, isAffiliatedTo, 47591
54565, isAffiliatedTo, 77670
54565, playsFor, 47591
54565, wasBornIn, 16286
102239, isCitizenOf, 29157
102239, livesIn, 78819
102239, livesIn, 29157
84892, isAffiliatedTo, 43137
84892, isAffiliatedTo, 95097
84892, playsFor, 43137
84892, playsFor, 95097
10093, isAffiliatedTo, 95097
10093, isAffiliatedTo, 77670
10093, playsFor, 95097
10093, wasBornIn, 16286
66706, isCitizenOf, 29157
66706, livesIn, 78819
23737, isAffiliatedTo, 77670
23737, playsFor, 77670
23737, wasBornIn, 16286
123012, isAffiliatedTo, 43137
123012, isAffiliatedTo, 95097
123012, playsFor, 43137
115375, playsFor, 43137
115375, playsFor, 95097
101868, isAffiliatedTo, 43137
101868, isAffiliatedTo, 95097
101868, playsFor, 43137
101868, playsFor, 95097
52437, isAffiliatedTo, 95097
52437, isAffiliatedTo, 77670
52437, playsFor, 95097
52437, playsFor, 77670
52437, wasBornIn, 16286
97874, isCitizenOf, 29157
97874, livesIn, 78819
71942, isCitizenOf, 29157
71942, livesIn, 78819
29157, dealsWith, 61995
29157, participatedIn, 98127
98557, isLocatedIn, 78819
98557, isLocatedIn, 29157
12623, isLocatedIn, 78819
12623, isLocatedIn, 29157
101107, isLocatedIn, 78819
101107, isLocatedIn, 29157
21647, isAffiliatedTo, 47591
21647, isAffiliatedTo, 43137
21647, playsFor, 47591
21647, playsFor, 43137
58979, isAffiliatedTo, 43137
58979, isAffiliatedTo, 77670
58979, playsFor, 77670
58979, wasBornIn, 16286
117661, isAffiliatedTo, 43137
117661, isAffiliatedTo, 95097
117661, playsFor, 43137
117661, playsFor, 95097
13277, isCitizenOf, 29157
13277, playsFor, 95097
62470, isLocatedIn, 78819
62470, isLocatedIn, 29157
55378, livesIn, 78819
55378, livesIn, 29157
93604, isAffiliatedTo, 43137
93604, isAffiliatedTo, 95097
37748, isAffiliatedTo, 43137
37748, isAffiliatedTo, 95097
33263, isAffiliatedTo, 43137
33263, isAffiliatedTo, 95097
33263, isAffiliatedTo, 77670
Question: For what reason are Long_Beach and Sascha_Mölders associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Long_Beach",
"Sascha_Mölders"
],
"valid_edges": [
[
"Ali_Bilgin",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Ali_Bilgin",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Ali_Bilgin",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Ali_Bilgin",
"wasBornIn",
"Essen"
],
[
"Alois_Schwartz",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Alois_Schwartz",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Andre_Hoffmann_(footballer)",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Andre_Hoffmann_(footballer)",
"playsFor",
"MSV_Duisburg"
],
[
"Andre_Hoffmann_(footballer)",
"wasBornIn",
"Essen"
],
[
"Arnold_Schwarzenegger",
"isPoliticianOf",
"California"
],
[
"Arnold_Schwarzenegger",
"isPoliticianOf",
"United_States"
],
[
"Arnold_Schwarzenegger",
"livesIn",
"California"
],
[
"Avaya",
"isLocatedIn",
"California"
],
[
"Avaya",
"isLocatedIn",
"United_States"
],
[
"Benjamin_Baltes",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Benjamin_Baltes",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Benjamin_Baltes",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Benjamin_Köhler",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Benjamin_Köhler",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Benjamin_Köhler",
"playsFor",
"MSV_Duisburg"
],
[
"Benjamin_Köhler",
"playsFor",
"Rot-Weiss_Essen"
],
[
"California",
"hasCapital",
"Los_Angeles"
],
[
"California",
"isLocatedIn",
"United_States"
],
[
"Capcom",
"isLocatedIn",
"California"
],
[
"Capcom",
"isLocatedIn",
"United_States"
],
[
"Dennis_Brinkmann",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Dennis_Brinkmann",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Dennis_Brinkmann",
"wasBornIn",
"Essen"
],
[
"Desmond_Harrington",
"livesIn",
"California"
],
[
"Desmond_Harrington",
"livesIn",
"United_States"
],
[
"Dietmar_Klinger",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Dietmar_Klinger",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Dietmar_Klinger",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Dietmar_Klinger",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Dietmar_Klinger",
"wasBornIn",
"Essen"
],
[
"Dirk_Caspers",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Dirk_Caspers",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Dirk_Caspers",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Dirk_Caspers",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Dirk_Langerbein",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Dirk_Langerbein",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Dirk_Langerbein",
"playsFor",
"MSV_Duisburg"
],
[
"Dirk_Langerbein",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Elton_Gallegly",
"livesIn",
"California"
],
[
"Elton_Gallegly",
"livesIn",
"United_States"
],
[
"Essen",
"isLocatedIn",
"Germany"
],
[
"Essen",
"isLocatedIn",
"North_Rhine-Westphalia"
],
[
"Frank_Mill",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Frank_Mill",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Frank_Mill",
"wasBornIn",
"Essen"
],
[
"Frank_Saborowski",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Frank_Saborowski",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Frank_Saborowski",
"playsFor",
"MSV_Duisburg"
],
[
"Frank_Saborowski",
"playsFor",
"Rot-Weiss_Essen"
],
[
"George_Deukmejian",
"isPoliticianOf",
"California"
],
[
"George_Deukmejian",
"isPoliticianOf",
"United_States"
],
[
"George_Deukmejian",
"livesIn",
"California"
],
[
"Germany",
"dealsWith",
"United_States"
],
[
"Germany",
"hasCapital",
"Essen"
],
[
"Gray_Davis",
"isPoliticianOf",
"California"
],
[
"Gray_Davis",
"isPoliticianOf",
"United_States"
],
[
"Gray_Davis",
"livesIn",
"California"
],
[
"Gray_Davis",
"livesIn",
"United_States"
],
[
"Haim_Saban",
"isCitizenOf",
"United_States"
],
[
"Haim_Saban",
"livesIn",
"California"
],
[
"Haluk_Türkeri",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Haluk_Türkeri",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Haluk_Türkeri",
"playsFor",
"MSV_Duisburg"
],
[
"Haluk_Türkeri",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Hans_Küppers",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Hans_Küppers",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Hans_Küppers",
"wasBornIn",
"Essen"
],
[
"Heckscher–Ohlin_model",
"playsFor",
"MSV_Duisburg"
],
[
"Heckscher–Ohlin_model",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Heinz_Höher",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Heinz_Höher",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Heinz_Höher",
"playsFor",
"MSV_Duisburg"
],
[
"Helmut_Rahn",
"diedIn",
"Essen"
],
[
"Helmut_Rahn",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Helmut_Rahn",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Helmut_Rahn",
"playsFor",
"MSV_Duisburg"
],
[
"Helmut_Rahn",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Helmut_Rahn",
"wasBornIn",
"Essen"
],
[
"Holger_Fach",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Holger_Fach",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Holger_Wehlage",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Holger_Wehlage",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Holger_Wehlage",
"playsFor",
"MSV_Duisburg"
],
[
"Holger_Wehlage",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Horst_Trimhold",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Horst_Trimhold",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Horst_Trimhold",
"wasBornIn",
"Essen"
],
[
"Hostage_(film)",
"isLocatedIn",
"California"
],
[
"Hostage_(film)",
"isLocatedIn",
"United_States"
],
[
"How_Few_Remain",
"happenedIn",
"California"
],
[
"How_Few_Remain",
"isLocatedIn",
"United_States"
],
[
"Ingo_Pickenäcker",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Ingo_Pickenäcker",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Ingo_Pickenäcker",
"wasBornIn",
"Essen"
],
[
"Issa_Issa",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Issa_Issa",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Jay_Hernandez",
"livesIn",
"California"
],
[
"Jay_Hernandez",
"livesIn",
"United_States"
],
[
"Jean_Fuller",
"isCitizenOf",
"United_States"
],
[
"Jean_Fuller",
"livesIn",
"California"
],
[
"Jenny_Shimizu",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Jenny_Shimizu",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Jens_Lehmann",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Jens_Lehmann",
"wasBornIn",
"Essen"
],
[
"Jesse_Dylan",
"isCitizenOf",
"United_States"
],
[
"Jesse_Dylan",
"livesIn",
"California"
],
[
"Jim_Belushi",
"isCitizenOf",
"United_States"
],
[
"Jim_Belushi",
"livesIn",
"California"
],
[
"Joel_Anderson",
"isCitizenOf",
"United_States"
],
[
"Joel_Anderson",
"livesIn",
"California"
],
[
"John_B._T._Campbell_III",
"livesIn",
"California"
],
[
"John_B._T._Campbell_III",
"livesIn",
"United_States"
],
[
"John_Cassavetes",
"isCitizenOf",
"United_States"
],
[
"John_Cassavetes",
"livesIn",
"California"
],
[
"Jonathan_Rhys_Meyers",
"livesIn",
"California"
],
[
"Jonathan_Rhys_Meyers",
"livesIn",
"United_States"
],
[
"Joseph_Cornell",
"isCitizenOf",
"United_States"
],
[
"Joseph_Cornell",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Josh_Hartnett",
"livesIn",
"California"
],
[
"Josh_Hartnett",
"livesIn",
"United_States"
],
[
"Jürgen_Gelsdorf",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Jürgen_Gelsdorf",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Jürgen_Gelsdorf",
"playsFor",
"MSV_Duisburg"
],
[
"Jürgen_Rollmann",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Jürgen_Rollmann",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Jürgen_Rollmann",
"playsFor",
"FC_Augsburg"
],
[
"Jürgen_Rollmann",
"playsFor",
"MSV_Duisburg"
],
[
"Jürgen_Wegmann",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Jürgen_Wegmann",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Jürgen_Wegmann",
"playsFor",
"MSV_Duisburg"
],
[
"Jürgen_Wegmann",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Jürgen_Wegmann",
"wasBornIn",
"Essen"
],
[
"Karl-Heinz_Spikofski",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Karl-Heinz_Spikofski",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Karl-Heinz_Spikofski",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Karl-Heinz_Spikofski",
"wasBornIn",
"Essen"
],
[
"Karyn_Kusama",
"isCitizenOf",
"United_States"
],
[
"Karyn_Kusama",
"livesIn",
"California"
],
[
"Kevin_Schindler",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Kevin_Schindler",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Kevin_Schindler",
"playsFor",
"FC_Augsburg"
],
[
"Kevin_Schindler",
"playsFor",
"MSV_Duisburg"
],
[
"Kuno_Klötzer",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Kuno_Klötzer",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Kuno_Klötzer",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Leland_Stanford",
"isPoliticianOf",
"California"
],
[
"Leland_Stanford",
"isPoliticianOf",
"United_States"
],
[
"Lena_Headey",
"livesIn",
"California"
],
[
"Lena_Headey",
"livesIn",
"United_States"
],
[
"Long_Beach",
"isLocatedIn",
"California"
],
[
"Long_Beach",
"isLocatedIn",
"United_States"
],
[
"Los_Angeles",
"isLocatedIn",
"California"
],
[
"Los_Angeles",
"isLocatedIn",
"United_States"
],
[
"MSV_Duisburg",
"isLocatedIn",
"North_Rhine-Westphalia"
],
[
"Malibu,_California",
"isLocatedIn",
"California"
],
[
"Malibu,_California",
"isLocatedIn",
"United_States"
],
[
"Manfred_Burgsmüller",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Manfred_Burgsmüller",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Manfred_Burgsmüller",
"wasBornIn",
"Essen"
],
[
"Manfred_Müller",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Manfred_Müller",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Manfred_Müller",
"wasBornIn",
"Essen"
],
[
"Marcus_Wedau",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Marcus_Wedau",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Marcus_Wedau",
"playsFor",
"MSV_Duisburg"
],
[
"Marcus_Wedau",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Marian_Sarr",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Marian_Sarr",
"wasBornIn",
"Essen"
],
[
"Mario_Klinger",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Mario_Klinger",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Mario_Klinger",
"wasBornIn",
"Essen"
],
[
"Marius_Ebbers",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Marius_Ebbers",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Marius_Ebbers",
"playsFor",
"MSV_Duisburg"
],
[
"Marius_Ebbers",
"wasBornIn",
"Essen"
],
[
"Markus_Heppke",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Markus_Heppke",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Markus_Heppke",
"wasBornIn",
"Essen"
],
[
"Markus_Kurth",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Markus_Kurth",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Markus_Kurth",
"playsFor",
"MSV_Duisburg"
],
[
"Markus_Kurth",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Markus_Neumayr",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Markus_Neumayr",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Markus_Neumayr",
"playsFor",
"MSV_Duisburg"
],
[
"Markus_Neumayr",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Markus_Reiter",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Markus_Reiter",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Markus_Reiter",
"playsFor",
"MSV_Duisburg"
],
[
"Markus_Reiter",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Markus_Reiter",
"wasBornIn",
"Essen"
],
[
"Menlo_Park,_California",
"isLocatedIn",
"California"
],
[
"Menlo_Park,_California",
"isLocatedIn",
"United_States"
],
[
"Michael_Blum_(footballer)",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Michael_Blum_(footballer)",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Michael_Blum_(footballer)",
"playsFor",
"MSV_Duisburg"
],
[
"Michael_Lameck",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Michael_Lameck",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Michael_Lameck",
"wasBornIn",
"Essen"
],
[
"Michael_Lusch",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Michael_Lusch",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Michael_Lusch",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Michael_Lusch",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Michael_Tönnies",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Michael_Tönnies",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Michael_Tönnies",
"playsFor",
"MSV_Duisburg"
],
[
"Michael_Tönnies",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Michael_Tönnies",
"wasBornIn",
"Essen"
],
[
"Mike_Simpson",
"isCitizenOf",
"United_States"
],
[
"Mike_Simpson",
"playsFor",
"MSV_Duisburg"
],
[
"Mirari_Films",
"isLocatedIn",
"California"
],
[
"Mirari_Films",
"isLocatedIn",
"United_States"
],
[
"Moritz_Stoppelkamp",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Moritz_Stoppelkamp",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Moritz_Stoppelkamp",
"playsFor",
"MSV_Duisburg"
],
[
"Moritz_Stoppelkamp",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Nexon_Co._Ltd.",
"isLocatedIn",
"California"
],
[
"Nexon_Co._Ltd.",
"isLocatedIn",
"United_States"
],
[
"Otto_Rehhagel",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Otto_Rehhagel",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Otto_Rehhagel",
"wasBornIn",
"Essen"
],
[
"Pandemic_Studios",
"isLocatedIn",
"California"
],
[
"Pandemic_Studios",
"isLocatedIn",
"United_States"
],
[
"Pat_Brown",
"isPoliticianOf",
"California"
],
[
"Pat_Brown",
"isPoliticianOf",
"United_States"
],
[
"Pete_Wilson",
"isPoliticianOf",
"California"
],
[
"Pete_Wilson",
"isPoliticianOf",
"United_States"
],
[
"Peter_Neururer",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Peter_Neururer",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Predrag_Stevanović",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Predrag_Stevanović",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Predrag_Stevanović",
"wasBornIn",
"Essen"
],
[
"Princess_Maria_Anna_of_Anhalt-Dessau",
"playsFor",
"MSV_Duisburg"
],
[
"Princess_Maria_Anna_of_Anhalt-Dessau",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Rade_Šerbedžija",
"livesIn",
"California"
],
[
"Rade_Šerbedžija",
"livesIn",
"United_States"
],
[
"Rafael_Kazior",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Rafael_Kazior",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Rafael_Kazior",
"playsFor",
"MSV_Duisburg"
],
[
"Rafael_Kazior",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Richard_Riordan",
"livesIn",
"California"
],
[
"Richard_Riordan",
"livesIn",
"United_States"
],
[
"Robert_Dutton",
"isCitizenOf",
"United_States"
],
[
"Robert_Dutton",
"livesIn",
"California"
],
[
"Robert_Dutton",
"livesIn",
"United_States"
],
[
"Roland_Emmerich",
"livesIn",
"California"
],
[
"Roland_Emmerich",
"livesIn",
"United_States"
],
[
"Romeo_Filipović",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Romeo_Filipović",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Romeo_Filipović",
"playsFor",
"MSV_Duisburg"
],
[
"Romeo_Filipović",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Ronald_Reagan",
"isPoliticianOf",
"California"
],
[
"Ronald_Reagan",
"isPoliticianOf",
"United_States"
],
[
"Rot-Weiss_Essen",
"isLocatedIn",
"Essen"
],
[
"Rot-Weiss_Essen",
"isLocatedIn",
"North_Rhine-Westphalia"
],
[
"Rudi_Gores",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Rudi_Gores",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Rudi_Gores",
"playsFor",
"MSV_Duisburg"
],
[
"San_Francisco",
"isLocatedIn",
"California"
],
[
"San_Francisco",
"isLocatedIn",
"United_States"
],
[
"San_Mateo_County,_California",
"isLocatedIn",
"California"
],
[
"San_Mateo_County,_California",
"isLocatedIn",
"United_States"
],
[
"Santa_Clara,_California",
"isLocatedIn",
"California"
],
[
"Santa_Clara,_California",
"isLocatedIn",
"United_States"
],
[
"Sascha_Mölders",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Sascha_Mölders",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Sascha_Mölders",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Sascha_Mölders",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Sascha_Mölders",
"playsFor",
"FC_Augsburg"
],
[
"Sascha_Mölders",
"playsFor",
"MSV_Duisburg"
],
[
"Sascha_Mölders",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Sascha_Mölders",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Sascha_Mölders",
"wasBornIn",
"Essen"
],
[
"Schwarz-Weiß_Essen",
"isLocatedIn",
"Essen"
],
[
"Schwarz-Weiß_Essen",
"isLocatedIn",
"North_Rhine-Westphalia"
],
[
"Sercan_Güvenışık",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Sercan_Güvenışık",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Sercan_Güvenışık",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Sercan_Güvenışık",
"playsFor",
"MSV_Duisburg"
],
[
"Sercan_Güvenışık",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Serkan_Çalik",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Serkan_Çalik",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Serkan_Çalik",
"playsFor",
"MSV_Duisburg"
],
[
"Serkan_Çalik",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Sven_Neuhaus",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Sven_Neuhaus",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Sven_Neuhaus",
"playsFor",
"FC_Augsburg"
],
[
"Sven_Neuhaus",
"wasBornIn",
"Essen"
],
[
"Swapan_Chattopadhyay",
"isCitizenOf",
"United_States"
],
[
"Swapan_Chattopadhyay",
"livesIn",
"California"
],
[
"Swapan_Chattopadhyay",
"livesIn",
"United_States"
],
[
"Sören_Brandy",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Sören_Brandy",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Sören_Brandy",
"playsFor",
"MSV_Duisburg"
],
[
"Sören_Brandy",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Sören_Pirson",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Sören_Pirson",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Sören_Pirson",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Sören_Pirson",
"wasBornIn",
"Essen"
],
[
"Terence_Tao",
"isCitizenOf",
"United_States"
],
[
"Terence_Tao",
"livesIn",
"California"
],
[
"Thomas_Hörster",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Thomas_Hörster",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Thomas_Hörster",
"wasBornIn",
"Essen"
],
[
"Thomas_Strunz",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Thomas_Strunz",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Thomas_Strunz",
"playsFor",
"MSV_Duisburg"
],
[
"Tiko_Messina",
"playsFor",
"MSV_Duisburg"
],
[
"Tiko_Messina",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Tim_Erfen",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Tim_Erfen",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Tim_Erfen",
"playsFor",
"MSV_Duisburg"
],
[
"Tim_Erfen",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Timo_Brauer",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Timo_Brauer",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Timo_Brauer",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Timo_Brauer",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Timo_Brauer",
"wasBornIn",
"Essen"
],
[
"Tom_Berryhill",
"isCitizenOf",
"United_States"
],
[
"Tom_Berryhill",
"livesIn",
"California"
],
[
"Tony_Strickland",
"isCitizenOf",
"United_States"
],
[
"Tony_Strickland",
"livesIn",
"California"
],
[
"United_States",
"dealsWith",
"Germany"
],
[
"United_States",
"participatedIn",
"How_Few_Remain"
],
[
"Universal_Music_Group",
"isLocatedIn",
"California"
],
[
"Universal_Music_Group",
"isLocatedIn",
"United_States"
],
[
"University_of_California,_Santa_Barbara",
"isLocatedIn",
"California"
],
[
"University_of_California,_Santa_Barbara",
"isLocatedIn",
"United_States"
],
[
"University_of_Southern_California",
"isLocatedIn",
"California"
],
[
"University_of_Southern_California",
"isLocatedIn",
"United_States"
],
[
"Uwe_Möhrle",
"isAffiliatedTo",
"FC_Augsburg"
],
[
"Uwe_Möhrle",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Uwe_Möhrle",
"playsFor",
"FC_Augsburg"
],
[
"Uwe_Möhrle",
"playsFor",
"MSV_Duisburg"
],
[
"Uwe_Reinders",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Uwe_Reinders",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
],
[
"Uwe_Reinders",
"playsFor",
"Schwarz-Weiß_Essen"
],
[
"Uwe_Reinders",
"wasBornIn",
"Essen"
],
[
"Volker_Abramczik",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Volker_Abramczik",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"Volker_Abramczik",
"playsFor",
"MSV_Duisburg"
],
[
"Volker_Abramczik",
"playsFor",
"Rot-Weiss_Essen"
],
[
"Wesley_Clair_Mitchell",
"isCitizenOf",
"United_States"
],
[
"Wesley_Clair_Mitchell",
"playsFor",
"Rot-Weiss_Essen"
],
[
"West_Hollywood,_California",
"isLocatedIn",
"California"
],
[
"West_Hollywood,_California",
"isLocatedIn",
"United_States"
],
[
"William_P._Clark,_Jr.",
"livesIn",
"California"
],
[
"William_P._Clark,_Jr.",
"livesIn",
"United_States"
],
[
"Wolfgang_Frank",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"Wolfgang_Frank",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"de/Alexander_Löbe",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"de/Alexander_Löbe",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"de/Fred-Werner_Bockholt",
"isAffiliatedTo",
"MSV_Duisburg"
],
[
"de/Fred-Werner_Bockholt",
"isAffiliatedTo",
"Rot-Weiss_Essen"
],
[
"de/Fred-Werner_Bockholt",
"isAffiliatedTo",
"Schwarz-Weiß_Essen"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
20470, Anwar_Siraj
28659, Jancarlos_de_Oliveira_Barros
95365, Khalifa_Ayil_Al-Naufli
121292, Mohammed_Al-Hinai
59743, N'Dayi_Kalenga_(footballer_born_1978)
115025, Oman_FC
46179, Oman_national_football_team
118104, male
src, edge_attr, dst
20470, hasGender, 118104
20470, isAffiliatedTo, 115025
20470, playsFor, 115025
28659, hasGender, 118104
95365, hasGender, 118104
95365, isAffiliatedTo, 115025
95365, isAffiliatedTo, 46179
95365, playsFor, 115025
95365, playsFor, 46179
121292, hasGender, 118104
121292, isAffiliatedTo, 115025
121292, isAffiliatedTo, 46179
121292, playsFor, 115025
121292, playsFor, 46179
59743, hasGender, 118104
59743, isAffiliatedTo, 115025
59743, playsFor, 115025
Question: In what context are Jancarlos_de_Oliveira_Barros and Oman_FC connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Jancarlos_de_Oliveira_Barros",
"Oman_FC"
],
"valid_edges": [
[
"Anwar_Siraj",
"hasGender",
"male"
],
[
"Anwar_Siraj",
"isAffiliatedTo",
"Oman_FC"
],
[
"Anwar_Siraj",
"playsFor",
"Oman_FC"
],
[
"Jancarlos_de_Oliveira_Barros",
"hasGender",
"male"
],
[
"Khalifa_Ayil_Al-Naufli",
"hasGender",
"male"
],
[
"Khalifa_Ayil_Al-Naufli",
"isAffiliatedTo",
"Oman_FC"
],
[
"Khalifa_Ayil_Al-Naufli",
"isAffiliatedTo",
"Oman_national_football_team"
],
[
"Khalifa_Ayil_Al-Naufli",
"playsFor",
"Oman_FC"
],
[
"Khalifa_Ayil_Al-Naufli",
"playsFor",
"Oman_national_football_team"
],
[
"Mohammed_Al-Hinai",
"hasGender",
"male"
],
[
"Mohammed_Al-Hinai",
"isAffiliatedTo",
"Oman_FC"
],
[
"Mohammed_Al-Hinai",
"isAffiliatedTo",
"Oman_national_football_team"
],
[
"Mohammed_Al-Hinai",
"playsFor",
"Oman_FC"
],
[
"Mohammed_Al-Hinai",
"playsFor",
"Oman_national_football_team"
],
[
"N'Dayi_Kalenga_(footballer_born_1978)",
"hasGender",
"male"
],
[
"N'Dayi_Kalenga_(footballer_born_1978)",
"isAffiliatedTo",
"Oman_FC"
],
[
"N'Dayi_Kalenga_(footballer_born_1978)",
"playsFor",
"Oman_FC"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
20052, Ben_Joyce
74497, Ben_Tozer
94943, Bill_Harper
9651, Bill_Shortt
82379, Bill_Smith_(footballer_born_1926)
69105, Bob_Mayer
59190, Confederate_States_of_America
22170, Craig_Taylor_(footballer)
73602, Darren_Garner
35589, David_Provan_(footballer,_born_1941)
51103, Doris_Angleton
51723, Falkirk
85192, Fred_Binney
121081, Fred_Titmuss
80141, Jack_Picken
98783, Marcus_Crocker
70073, Mickey_Evans_(footballer,_born_1973)
59906, Mississippi
33507, Neil_Dougall
24247, Ocean_Springs,_Mississippi
15275, Paul_Wotton
30357, Plymouth
70780, Plymouth_Argyle_F.C.
43719, Ray_Bowden
73823, Scotland
63893, Sean_Morrison_(footballer)
9119, Shaun_Taylor
119734, Steve_Adams_(footballer_born_1980)
94024, Steve_Davey
76098, Stewart_Yetton
100654, United_Kingdom
29157, United_States
src, edge_attr, dst
20052, isAffiliatedTo, 70780
20052, wasBornIn, 30357
74497, isAffiliatedTo, 70780
74497, playsFor, 70780
74497, wasBornIn, 30357
94943, diedIn, 30357
94943, isAffiliatedTo, 70780
94943, playsFor, 70780
9651, diedIn, 30357
9651, isAffiliatedTo, 70780
9651, playsFor, 70780
82379, isAffiliatedTo, 70780
82379, playsFor, 70780
82379, wasBornIn, 30357
69105, isCitizenOf, 29157
69105, playsFor, 70780
59190, isLocatedIn, 29157
22170, isAffiliatedTo, 70780
22170, playsFor, 70780
22170, wasBornIn, 30357
73602, isAffiliatedTo, 70780
73602, playsFor, 70780
73602, wasBornIn, 30357
35589, isAffiliatedTo, 70780
35589, playsFor, 70780
35589, wasBornIn, 51723
51103, isCitizenOf, 29157
51103, playsFor, 70780
51723, isLocatedIn, 73823
51723, isLocatedIn, 100654
85192, isAffiliatedTo, 70780
85192, playsFor, 70780
85192, wasBornIn, 30357
121081, diedIn, 30357
121081, isAffiliatedTo, 70780
121081, playsFor, 70780
80141, diedIn, 30357
80141, isAffiliatedTo, 70780
80141, playsFor, 70780
98783, isAffiliatedTo, 70780
98783, playsFor, 70780
98783, wasBornIn, 30357
70073, isAffiliatedTo, 70780
70073, playsFor, 70780
70073, wasBornIn, 30357
59906, isLocatedIn, 59190
59906, isLocatedIn, 29157
33507, diedIn, 30357
33507, isAffiliatedTo, 70780
33507, playsFor, 70780
33507, wasBornIn, 51723
24247, isLocatedIn, 59906
24247, isLocatedIn, 29157
15275, isAffiliatedTo, 70780
15275, playsFor, 70780
15275, wasBornIn, 30357
30357, isLocatedIn, 100654
43719, diedIn, 30357
43719, isAffiliatedTo, 70780
43719, playsFor, 70780
73823, dealsWith, 29157
63893, isAffiliatedTo, 70780
63893, playsFor, 70780
63893, wasBornIn, 30357
9119, isAffiliatedTo, 70780
9119, wasBornIn, 30357
119734, isAffiliatedTo, 70780
119734, playsFor, 70780
119734, wasBornIn, 30357
94024, isAffiliatedTo, 70780
94024, playsFor, 70780
94024, wasBornIn, 30357
76098, isAffiliatedTo, 70780
76098, playsFor, 70780
76098, wasBornIn, 30357
100654, dealsWith, 29157
Question: How are Neil_Dougall and Ocean_Springs,_Mississippi related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Neil_Dougall",
"Ocean_Springs,_Mississippi"
],
"valid_edges": [
[
"Ben_Joyce",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Ben_Joyce",
"wasBornIn",
"Plymouth"
],
[
"Ben_Tozer",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Ben_Tozer",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Ben_Tozer",
"wasBornIn",
"Plymouth"
],
[
"Bill_Harper",
"diedIn",
"Plymouth"
],
[
"Bill_Harper",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Bill_Harper",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Bill_Shortt",
"diedIn",
"Plymouth"
],
[
"Bill_Shortt",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Bill_Shortt",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Bill_Smith_(footballer_born_1926)",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Bill_Smith_(footballer_born_1926)",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Bill_Smith_(footballer_born_1926)",
"wasBornIn",
"Plymouth"
],
[
"Bob_Mayer",
"isCitizenOf",
"United_States"
],
[
"Bob_Mayer",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Confederate_States_of_America",
"isLocatedIn",
"United_States"
],
[
"Craig_Taylor_(footballer)",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Craig_Taylor_(footballer)",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Craig_Taylor_(footballer)",
"wasBornIn",
"Plymouth"
],
[
"Darren_Garner",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Darren_Garner",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Darren_Garner",
"wasBornIn",
"Plymouth"
],
[
"David_Provan_(footballer,_born_1941)",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"David_Provan_(footballer,_born_1941)",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"David_Provan_(footballer,_born_1941)",
"wasBornIn",
"Falkirk"
],
[
"Doris_Angleton",
"isCitizenOf",
"United_States"
],
[
"Doris_Angleton",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Falkirk",
"isLocatedIn",
"Scotland"
],
[
"Falkirk",
"isLocatedIn",
"United_Kingdom"
],
[
"Fred_Binney",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Fred_Binney",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Fred_Binney",
"wasBornIn",
"Plymouth"
],
[
"Fred_Titmuss",
"diedIn",
"Plymouth"
],
[
"Fred_Titmuss",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Fred_Titmuss",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Jack_Picken",
"diedIn",
"Plymouth"
],
[
"Jack_Picken",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Jack_Picken",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Marcus_Crocker",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Marcus_Crocker",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Marcus_Crocker",
"wasBornIn",
"Plymouth"
],
[
"Mickey_Evans_(footballer,_born_1973)",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Mickey_Evans_(footballer,_born_1973)",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Mickey_Evans_(footballer,_born_1973)",
"wasBornIn",
"Plymouth"
],
[
"Mississippi",
"isLocatedIn",
"Confederate_States_of_America"
],
[
"Mississippi",
"isLocatedIn",
"United_States"
],
[
"Neil_Dougall",
"diedIn",
"Plymouth"
],
[
"Neil_Dougall",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Neil_Dougall",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Neil_Dougall",
"wasBornIn",
"Falkirk"
],
[
"Ocean_Springs,_Mississippi",
"isLocatedIn",
"Mississippi"
],
[
"Ocean_Springs,_Mississippi",
"isLocatedIn",
"United_States"
],
[
"Paul_Wotton",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Paul_Wotton",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Paul_Wotton",
"wasBornIn",
"Plymouth"
],
[
"Plymouth",
"isLocatedIn",
"United_Kingdom"
],
[
"Ray_Bowden",
"diedIn",
"Plymouth"
],
[
"Ray_Bowden",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Ray_Bowden",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Scotland",
"dealsWith",
"United_States"
],
[
"Sean_Morrison_(footballer)",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Sean_Morrison_(footballer)",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Sean_Morrison_(footballer)",
"wasBornIn",
"Plymouth"
],
[
"Shaun_Taylor",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Shaun_Taylor",
"wasBornIn",
"Plymouth"
],
[
"Steve_Adams_(footballer_born_1980)",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Steve_Adams_(footballer_born_1980)",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Steve_Adams_(footballer_born_1980)",
"wasBornIn",
"Plymouth"
],
[
"Steve_Davey",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Steve_Davey",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Steve_Davey",
"wasBornIn",
"Plymouth"
],
[
"Stewart_Yetton",
"isAffiliatedTo",
"Plymouth_Argyle_F.C."
],
[
"Stewart_Yetton",
"playsFor",
"Plymouth_Argyle_F.C."
],
[
"Stewart_Yetton",
"wasBornIn",
"Plymouth"
],
[
"United_Kingdom",
"dealsWith",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
42787, Arthur_Balfour
112251, Charles_Spencer-Churchill,_9th_Duke_of_Marlborough
20415, Conservative_Party_(UK)
44743, Edward_Bulwer-Lytton
58093, Enoch_Powell
94920, Gerald_Strickland,_1st_Baron_Strickland
28048, Glasgow
74281, Henry_Campbell-Bannerman
66566, Norman_Stone
43614, Ryan_O'Leary
86020, Stanley_Baldwin
111297, Trinity_College,_Cambridge
src, edge_attr, dst
42787, graduatedFrom, 111297
42787, isAffiliatedTo, 20415
112251, graduatedFrom, 111297
112251, isAffiliatedTo, 20415
44743, graduatedFrom, 111297
44743, isAffiliatedTo, 20415
58093, graduatedFrom, 111297
58093, isAffiliatedTo, 20415
94920, graduatedFrom, 111297
94920, isAffiliatedTo, 20415
74281, graduatedFrom, 111297
74281, wasBornIn, 28048
66566, isAffiliatedTo, 20415
66566, wasBornIn, 28048
43614, wasBornIn, 28048
86020, graduatedFrom, 111297
86020, isAffiliatedTo, 20415
Question: For what reason are Ryan_O'Leary and Stanley_Baldwin associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ryan_O'Leary",
"Stanley_Baldwin"
],
"valid_edges": [
[
"Arthur_Balfour",
"graduatedFrom",
"Trinity_College,_Cambridge"
],
[
"Arthur_Balfour",
"isAffiliatedTo",
"Conservative_Party_(UK)"
],
[
"Charles_Spencer-Churchill,_9th_Duke_of_Marlborough",
"graduatedFrom",
"Trinity_College,_Cambridge"
],
[
"Charles_Spencer-Churchill,_9th_Duke_of_Marlborough",
"isAffiliatedTo",
"Conservative_Party_(UK)"
],
[
"Edward_Bulwer-Lytton",
"graduatedFrom",
"Trinity_College,_Cambridge"
],
[
"Edward_Bulwer-Lytton",
"isAffiliatedTo",
"Conservative_Party_(UK)"
],
[
"Enoch_Powell",
"graduatedFrom",
"Trinity_College,_Cambridge"
],
[
"Enoch_Powell",
"isAffiliatedTo",
"Conservative_Party_(UK)"
],
[
"Gerald_Strickland,_1st_Baron_Strickland",
"graduatedFrom",
"Trinity_College,_Cambridge"
],
[
"Gerald_Strickland,_1st_Baron_Strickland",
"isAffiliatedTo",
"Conservative_Party_(UK)"
],
[
"Henry_Campbell-Bannerman",
"graduatedFrom",
"Trinity_College,_Cambridge"
],
[
"Henry_Campbell-Bannerman",
"wasBornIn",
"Glasgow"
],
[
"Norman_Stone",
"isAffiliatedTo",
"Conservative_Party_(UK)"
],
[
"Norman_Stone",
"wasBornIn",
"Glasgow"
],
[
"Ryan_O'Leary",
"wasBornIn",
"Glasgow"
],
[
"Stanley_Baldwin",
"graduatedFrom",
"Trinity_College,_Cambridge"
],
[
"Stanley_Baldwin",
"isAffiliatedTo",
"Conservative_Party_(UK)"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
65370, Basket_Napoli
23807, Bayamón,_Puerto_Rico
20863, Charles_Smith_(basketball,_born_1967)
97302, Claro_Americas
57385, Club_Ourense_Baloncesto
7586, Dominican_Republic
103928, Dontae'_Jones
81154, Georgie_Torres
49217, Greater_Antilles
113020, Haiti
82836, Ike_Nwankwo
92500, KK_Crvena_zvezda
74921, Kebu_Stewart
116694, La_Crosse_Bobcats
49885, Puerto_Rico
15903, Spanish_language
88087, Vaqueros_de_Bayamón
54946, wordnet_food_100021265
src, edge_attr, dst
23807, isLocatedIn, 49885
20863, isAffiliatedTo, 65370
20863, isAffiliatedTo, 57385
20863, isAffiliatedTo, 92500
20863, isAffiliatedTo, 116694
20863, isAffiliatedTo, 88087
97302, isLocatedIn, 7586
97302, isLocatedIn, 49885
7586, dealsWith, 113020
7586, hasNeighbor, 113020
7586, hasOfficialLanguage, 15903
103928, isAffiliatedTo, 65370
103928, isAffiliatedTo, 116694
103928, isAffiliatedTo, 88087
81154, isAffiliatedTo, 88087
81154, isCitizenOf, 49885
49217, isLocatedIn, 7586
49217, isLocatedIn, 113020
49217, isLocatedIn, 49885
113020, dealsWith, 7586
113020, hasNeighbor, 7586
113020, imports, 54946
82836, isAffiliatedTo, 57385
82836, isAffiliatedTo, 88087
74921, isAffiliatedTo, 92500
74921, isAffiliatedTo, 88087
49885, hasOfficialLanguage, 15903
49885, imports, 54946
88087, isLocatedIn, 23807
88087, isLocatedIn, 49885
Question: In what context are Charles_Smith_(basketball,_born_1967) and Greater_Antilles connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Charles_Smith_(basketball,_born_1967)",
"Greater_Antilles"
],
"valid_edges": [
[
"Bayamón,_Puerto_Rico",
"isLocatedIn",
"Puerto_Rico"
],
[
"Charles_Smith_(basketball,_born_1967)",
"isAffiliatedTo",
"Basket_Napoli"
],
[
"Charles_Smith_(basketball,_born_1967)",
"isAffiliatedTo",
"Club_Ourense_Baloncesto"
],
[
"Charles_Smith_(basketball,_born_1967)",
"isAffiliatedTo",
"KK_Crvena_zvezda"
],
[
"Charles_Smith_(basketball,_born_1967)",
"isAffiliatedTo",
"La_Crosse_Bobcats"
],
[
"Charles_Smith_(basketball,_born_1967)",
"isAffiliatedTo",
"Vaqueros_de_Bayamón"
],
[
"Claro_Americas",
"isLocatedIn",
"Dominican_Republic"
],
[
"Claro_Americas",
"isLocatedIn",
"Puerto_Rico"
],
[
"Dominican_Republic",
"dealsWith",
"Haiti"
],
[
"Dominican_Republic",
"hasNeighbor",
"Haiti"
],
[
"Dominican_Republic",
"hasOfficialLanguage",
"Spanish_language"
],
[
"Dontae'_Jones",
"isAffiliatedTo",
"Basket_Napoli"
],
[
"Dontae'_Jones",
"isAffiliatedTo",
"La_Crosse_Bobcats"
],
[
"Dontae'_Jones",
"isAffiliatedTo",
"Vaqueros_de_Bayamón"
],
[
"Georgie_Torres",
"isAffiliatedTo",
"Vaqueros_de_Bayamón"
],
[
"Georgie_Torres",
"isCitizenOf",
"Puerto_Rico"
],
[
"Greater_Antilles",
"isLocatedIn",
"Dominican_Republic"
],
[
"Greater_Antilles",
"isLocatedIn",
"Haiti"
],
[
"Greater_Antilles",
"isLocatedIn",
"Puerto_Rico"
],
[
"Haiti",
"dealsWith",
"Dominican_Republic"
],
[
"Haiti",
"hasNeighbor",
"Dominican_Republic"
],
[
"Haiti",
"imports",
"wordnet_food_100021265"
],
[
"Ike_Nwankwo",
"isAffiliatedTo",
"Club_Ourense_Baloncesto"
],
[
"Ike_Nwankwo",
"isAffiliatedTo",
"Vaqueros_de_Bayamón"
],
[
"Kebu_Stewart",
"isAffiliatedTo",
"KK_Crvena_zvezda"
],
[
"Kebu_Stewart",
"isAffiliatedTo",
"Vaqueros_de_Bayamón"
],
[
"Puerto_Rico",
"hasOfficialLanguage",
"Spanish_language"
],
[
"Puerto_Rico",
"imports",
"wordnet_food_100021265"
],
[
"Vaqueros_de_Bayamón",
"isLocatedIn",
"Bayamón,_Puerto_Rico"
],
[
"Vaqueros_de_Bayamón",
"isLocatedIn",
"Puerto_Rico"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
96383, Belize
20059, Berlin
111077, Corozal_District
49154, Farin_Urlaub
61995, Germany
src, edge_attr, dst
96383, dealsWith, 61995
20059, isLocatedIn, 61995
111077, isLocatedIn, 96383
49154, wasBornIn, 20059
61995, hasCapital, 20059
Question: For what reason are Corozal_District and Farin_Urlaub associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Corozal_District",
"Farin_Urlaub"
],
"valid_edges": [
[
"Belize",
"dealsWith",
"Germany"
],
[
"Berlin",
"isLocatedIn",
"Germany"
],
[
"Corozal_District",
"isLocatedIn",
"Belize"
],
[
"Farin_Urlaub",
"wasBornIn",
"Berlin"
],
[
"Germany",
"hasCapital",
"Berlin"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
45182, A._K._Antony
37206, A._P._J._Abdul_Kalam
83143, Abbas-Mustan
121803, Abdus_Salam
56444, Abraham_Wald
94415, Adi_Godrej
4617, Aditya_Chopra
31447, Ajay_Devgan
3960, Ajit_Singh_(politician)
83146, Akhtar_ul_Iman
80588, Albert_Ernest_Kitson
68162, Allu_Arjun
106624, Ambareesh
96701, Amitav_Ghosh
114376, Anand_Mahindra
57359, Anil_Kakodkar
98270, Anupam_Kher
58091, Ashoke_Sen
1127, Awara_Paagal_Deewana
11742, B._R._Ambedkar
43162, Balakumaran
51018, Bharat_Bhushan
32438, Bharath
72838, Bijoy_Krishna_Handique
38720, C._R._Rao
6028, C._V._Raman
102475, Chaudry_Mohammad_Aslam
35274, Chiranjeevi
4946, D._R._Bendre
65839, Dasari_Narayana_Rao
46576, Debendranath_Tagore
44762, Deepak_Thakur
79743, Dharmendra
11091, Dilip_Kumar
52527, E._C._George_Sudarshan
46229, Edmund_Andros
28141, Farooq_Sheikh
70620, G._N._Ramachandran
44818, Girish_Karnad
86223, Govinda_(actor)
58965, Govindarajan_Padmanaban
46543, Gulzarilal_Nanda
10162, H._D._Deve_Gowda
91710, Har_Gobind_Khorana
72095, Homi_Sethna
89823, India
48879, J._R._D._Tata
100246, Janaki_Ballabh_Patnaik
90111, Javed_Akhtar
98366, Jawaharlal_Nehru
50996, Jayant_Kaikini
114334, Jayant_Narlikar
63261, Joy_Mukherjee
45162, K._G._Ramanathan
114069, K._V._Subbanna
83843, Kannan_Soundararajan
52126, Kevin_Desouza
21356, Kunjunni_Mash
64943, Kuvempu
86917, Lakshmi_Mittal
63973, Lal_Bahadur_Shastri
54535, Liaquat_Ali_Khan
13299, M._K._Alagiri
60653, M._S._Swaminathan
99532, Madhu_Sudan
118101, Manmohan_Singh
27634, Michael_J._S._Dewar
84739, Miloš_Pavlović_(footballer)
65220, Morarji_Desai
99856, Muhammad_Zakariya_Kandhlawi
28045, Mukarram_Jah
63221, Mukesh_Ambani
39188, Mysore_Doreswamy_Madhusudan
54208, Nagendra_Babu
28690, Nandamuri_Balakrishna
114153, Napoleon_(actor)
42974, Narendra_Modi
119130, Naseeruddin_Shah
88260, Nikhil_Kumar
118954, Nitin_Saxena
77900, O._N._V._Kurup
63181, P._Subbarayan
92633, Parambrata_Chatterjee
58723, Paresh_Rawal
74424, Prabhas
19931, Prabhjot_Singh
69893, Pranab_Mukherjee
16241, Prasanta_Chandra_Mahalanobis
85499, Priyanshu_Chatterjee
10233, Rahul_Gandhi
87706, Raja_Ramanna
113453, Rajagopala_Chidambaram
31632, Rajiv_Gandhi
112811, Rajkumar_Santoshi
56727, Rajneesh
97775, Rakesh_Roshan
116445, Ram_Gopal_Varma
23299, Ratan_Tata
52204, Ronald_Ross
63755, Rudranil_Ghosh
22746, S._R._Ekkundi
31559, S._R._Srinivasa_Varadhan
50134, Saif_Ali_Khan
11691, Salim_Khan
53788, Sanjay_Gandhi
115821, Sanjay_Leela_Bhansali
101548, Sarat_Chandra_Sinha
5339, Sarvepalli_Radhakrishnan
88795, Satyendra_Nath_Bose
103898, Sendhil_Mullainathan
87235, Shankar_(director)
23902, Shankar_Dayal_Sharma
111015, Sharad_Pawar
2761, Sharadchandra_Shankar_Shrikhande
33045, Shiney_Ahuja
113226, Shiv_Nadar
7859, Shivajirao_Patil_Nilangekar
45901, Siddhanta_Mahapatra
82445, Siddhartha_Shankar_Ray
29436, Singeetam_Srinivasa_Rao
66378, Sohail_Khan
9152, Somnath_Bharadwaj
26403, Suresh_Oberoi
24517, Susi_Ganeshan
57171, T._K._Rajeev_Kumar
72898, Thanu_Padmanabhan
104804, U._R._Ananthamurthy
29557, Uday_Shankar
88438, Umesh_Vazirani
104951, Upamanyu_Chatterjee
69440, V._K._Gokak
41053, V._K._Krishna_Menon
88066, V._V._Giri
90893, V._V._S._Aiyar
44626, Venkatraman_Ramakrishnan
104698, Verghese_Kurien
28019, Vijay_Raaz
111553, Vijay_Tendulkar
54341, Vikram_Bhatt
98268, Vikram_Sarabhai
64749, Vinod_Khanna
88885, Virbhadra_Singh
115731, Viren_Rasquinha
32707, Vishal_(actor)
93196, Wajahat_Mirza
67388, Yandamuri_Veerendranath
110429, Zakir_Hussain_(politician)
118104, male
src, edge_attr, dst
45182, hasGender, 118104
45182, isPoliticianOf, 89823
37206, hasGender, 118104
37206, isPoliticianOf, 89823
83143, hasGender, 118104
83143, isCitizenOf, 89823
121803, hasGender, 118104
121803, isCitizenOf, 89823
56444, hasGender, 118104
56444, isCitizenOf, 89823
94415, hasGender, 118104
94415, isCitizenOf, 89823
4617, hasGender, 118104
4617, livesIn, 89823
31447, hasGender, 118104
31447, livesIn, 89823
3960, hasGender, 118104
3960, isPoliticianOf, 89823
83146, hasGender, 118104
83146, isCitizenOf, 89823
80588, hasGender, 118104
80588, livesIn, 89823
68162, hasGender, 118104
68162, isCitizenOf, 89823
106624, hasGender, 118104
106624, isPoliticianOf, 89823
96701, hasGender, 118104
96701, isCitizenOf, 89823
114376, hasGender, 118104
114376, isCitizenOf, 89823
114376, livesIn, 89823
57359, hasGender, 118104
57359, isCitizenOf, 89823
57359, livesIn, 89823
98270, hasGender, 118104
98270, isCitizenOf, 89823
58091, hasGender, 118104
58091, isCitizenOf, 89823
1127, isLocatedIn, 89823
11742, hasGender, 118104
11742, isPoliticianOf, 89823
43162, hasGender, 118104
43162, isCitizenOf, 89823
51018, hasGender, 118104
51018, isCitizenOf, 89823
32438, hasGender, 118104
32438, isCitizenOf, 89823
72838, hasGender, 118104
72838, isPoliticianOf, 89823
38720, hasGender, 118104
38720, livesIn, 89823
6028, hasGender, 118104
6028, isCitizenOf, 89823
102475, hasGender, 118104
102475, isCitizenOf, 89823
35274, hasGender, 118104
35274, isPoliticianOf, 89823
4946, hasGender, 118104
4946, isCitizenOf, 89823
65839, hasGender, 118104
65839, isPoliticianOf, 89823
46576, hasGender, 118104
46576, isCitizenOf, 89823
44762, hasGender, 118104
44762, isCitizenOf, 89823
44762, livesIn, 89823
79743, hasGender, 118104
79743, livesIn, 89823
11091, hasGender, 118104
11091, livesIn, 89823
52527, hasGender, 118104
52527, isCitizenOf, 89823
46229, hasGender, 118104
28141, hasGender, 118104
28141, isCitizenOf, 89823
70620, hasGender, 118104
70620, isCitizenOf, 89823
44818, hasGender, 118104
44818, isCitizenOf, 89823
86223, hasGender, 118104
86223, isCitizenOf, 89823
58965, hasGender, 118104
58965, isCitizenOf, 89823
58965, livesIn, 89823
46543, hasGender, 118104
46543, isPoliticianOf, 89823
10162, hasGender, 118104
10162, isCitizenOf, 89823
10162, isPoliticianOf, 89823
91710, hasGender, 118104
91710, livesIn, 89823
72095, hasGender, 118104
72095, isCitizenOf, 89823
89823, participatedIn, 46229
48879, hasGender, 118104
48879, isCitizenOf, 89823
100246, hasGender, 118104
100246, isPoliticianOf, 89823
90111, hasGender, 118104
90111, isCitizenOf, 89823
98366, hasGender, 118104
98366, isPoliticianOf, 89823
50996, hasGender, 118104
50996, isCitizenOf, 89823
114334, hasGender, 118104
114334, isCitizenOf, 89823
114334, livesIn, 89823
63261, hasGender, 118104
63261, livesIn, 89823
45162, hasGender, 118104
45162, isCitizenOf, 89823
114069, hasGender, 118104
114069, isCitizenOf, 89823
83843, hasGender, 118104
83843, isCitizenOf, 89823
52126, hasGender, 118104
52126, isCitizenOf, 89823
21356, hasGender, 118104
21356, isCitizenOf, 89823
64943, hasGender, 118104
64943, isCitizenOf, 89823
86917, hasGender, 118104
86917, isCitizenOf, 89823
63973, hasGender, 118104
63973, isPoliticianOf, 89823
54535, hasGender, 118104
54535, isPoliticianOf, 89823
13299, hasGender, 118104
13299, isPoliticianOf, 89823
60653, hasGender, 118104
60653, isCitizenOf, 89823
99532, hasGender, 118104
99532, isCitizenOf, 89823
118101, hasGender, 118104
118101, isPoliticianOf, 89823
27634, hasGender, 118104
27634, isCitizenOf, 89823
84739, hasGender, 118104
65220, hasGender, 118104
65220, isPoliticianOf, 89823
99856, hasGender, 118104
99856, isCitizenOf, 89823
28045, hasGender, 118104
28045, livesIn, 89823
63221, hasGender, 118104
63221, isCitizenOf, 89823
39188, hasGender, 118104
39188, isCitizenOf, 89823
54208, hasGender, 118104
54208, isCitizenOf, 89823
54208, livesIn, 89823
28690, hasGender, 118104
28690, isCitizenOf, 89823
114153, hasGender, 118104
114153, isPoliticianOf, 89823
114153, livesIn, 89823
42974, hasGender, 118104
42974, isLeaderOf, 89823
42974, isPoliticianOf, 89823
119130, hasGender, 118104
119130, isCitizenOf, 89823
88260, hasGender, 118104
88260, isPoliticianOf, 89823
118954, hasGender, 118104
118954, isCitizenOf, 89823
77900, hasGender, 118104
77900, isCitizenOf, 89823
77900, livesIn, 89823
63181, hasGender, 118104
63181, isCitizenOf, 89823
92633, hasGender, 118104
92633, isCitizenOf, 89823
58723, actedIn, 1127
58723, hasGender, 118104
58723, isCitizenOf, 89823
74424, hasGender, 118104
74424, isCitizenOf, 89823
19931, hasGender, 118104
19931, isCitizenOf, 89823
69893, hasGender, 118104
69893, isLeaderOf, 89823
69893, isPoliticianOf, 89823
16241, hasGender, 118104
16241, isCitizenOf, 89823
85499, hasGender, 118104
85499, livesIn, 89823
10233, hasGender, 118104
10233, isPoliticianOf, 89823
87706, hasGender, 118104
87706, isCitizenOf, 89823
87706, isPoliticianOf, 89823
113453, hasGender, 118104
113453, isCitizenOf, 89823
113453, livesIn, 89823
31632, hasGender, 118104
31632, isPoliticianOf, 89823
112811, hasGender, 118104
112811, isCitizenOf, 89823
56727, hasGender, 118104
56727, isCitizenOf, 89823
97775, hasGender, 118104
97775, isCitizenOf, 89823
116445, hasGender, 118104
116445, livesIn, 89823
23299, hasGender, 118104
23299, isCitizenOf, 89823
52204, hasGender, 118104
52204, isCitizenOf, 89823
63755, hasGender, 118104
63755, isCitizenOf, 89823
63755, livesIn, 89823
22746, hasGender, 118104
22746, isCitizenOf, 89823
31559, hasGender, 118104
31559, isCitizenOf, 89823
50134, hasGender, 118104
50134, isCitizenOf, 89823
11691, hasGender, 118104
11691, isCitizenOf, 89823
11691, livesIn, 89823
53788, hasGender, 118104
53788, isPoliticianOf, 89823
53788, livesIn, 89823
115821, hasGender, 118104
115821, isCitizenOf, 89823
101548, hasGender, 118104
101548, isCitizenOf, 89823
5339, hasGender, 118104
5339, isCitizenOf, 89823
5339, isPoliticianOf, 89823
88795, hasGender, 118104
88795, isCitizenOf, 89823
103898, hasGender, 118104
103898, isCitizenOf, 89823
87235, hasGender, 118104
87235, livesIn, 89823
23902, hasGender, 118104
23902, isPoliticianOf, 89823
111015, hasGender, 118104
111015, isPoliticianOf, 89823
2761, hasGender, 118104
2761, isCitizenOf, 89823
2761, livesIn, 89823
33045, hasGender, 118104
33045, livesIn, 89823
113226, hasGender, 118104
113226, isCitizenOf, 89823
7859, hasGender, 118104
7859, isCitizenOf, 89823
45901, hasGender, 118104
45901, isCitizenOf, 89823
82445, hasGender, 118104
82445, isCitizenOf, 89823
82445, isPoliticianOf, 89823
82445, livesIn, 89823
29436, hasGender, 118104
29436, isCitizenOf, 89823
66378, hasGender, 118104
66378, isCitizenOf, 89823
9152, hasGender, 118104
9152, isCitizenOf, 89823
9152, livesIn, 89823
26403, hasGender, 118104
26403, livesIn, 89823
24517, hasGender, 118104
24517, livesIn, 89823
57171, hasGender, 118104
57171, livesIn, 89823
72898, hasGender, 118104
72898, livesIn, 89823
104804, hasGender, 118104
104804, isCitizenOf, 89823
29557, hasGender, 118104
29557, isCitizenOf, 89823
88438, hasGender, 118104
88438, isCitizenOf, 89823
104951, hasGender, 118104
104951, isCitizenOf, 89823
69440, hasGender, 118104
69440, isCitizenOf, 89823
41053, hasGender, 118104
41053, isPoliticianOf, 89823
88066, hasGender, 118104
88066, isPoliticianOf, 89823
90893, hasGender, 118104
90893, isCitizenOf, 89823
44626, hasGender, 118104
44626, isCitizenOf, 89823
104698, hasGender, 118104
104698, isCitizenOf, 89823
28019, hasGender, 118104
28019, isCitizenOf, 89823
111553, hasGender, 118104
111553, isCitizenOf, 89823
54341, directed, 1127
54341, hasGender, 118104
54341, isCitizenOf, 89823
98268, hasGender, 118104
98268, isCitizenOf, 89823
98268, livesIn, 89823
64749, hasGender, 118104
64749, isPoliticianOf, 89823
88885, hasGender, 118104
88885, isCitizenOf, 89823
88885, isPoliticianOf, 89823
115731, hasGender, 118104
115731, livesIn, 89823
32707, hasGender, 118104
32707, isCitizenOf, 89823
93196, hasGender, 118104
93196, livesIn, 89823
67388, hasGender, 118104
67388, isCitizenOf, 89823
110429, hasGender, 118104
110429, isPoliticianOf, 89823
Question: In what context are Awara_Paagal_Deewana and Miloš_Pavlović_(footballer) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Awara_Paagal_Deewana",
"Miloš_Pavlović_(footballer)"
],
"valid_edges": [
[
"A._K._Antony",
"hasGender",
"male"
],
[
"A._K._Antony",
"isPoliticianOf",
"India"
],
[
"A._P._J._Abdul_Kalam",
"hasGender",
"male"
],
[
"A._P._J._Abdul_Kalam",
"isPoliticianOf",
"India"
],
[
"Abbas-Mustan",
"hasGender",
"male"
],
[
"Abbas-Mustan",
"isCitizenOf",
"India"
],
[
"Abdus_Salam",
"hasGender",
"male"
],
[
"Abdus_Salam",
"isCitizenOf",
"India"
],
[
"Abraham_Wald",
"hasGender",
"male"
],
[
"Abraham_Wald",
"isCitizenOf",
"India"
],
[
"Adi_Godrej",
"hasGender",
"male"
],
[
"Adi_Godrej",
"isCitizenOf",
"India"
],
[
"Aditya_Chopra",
"hasGender",
"male"
],
[
"Aditya_Chopra",
"livesIn",
"India"
],
[
"Ajay_Devgan",
"hasGender",
"male"
],
[
"Ajay_Devgan",
"livesIn",
"India"
],
[
"Ajit_Singh_(politician)",
"hasGender",
"male"
],
[
"Ajit_Singh_(politician)",
"isPoliticianOf",
"India"
],
[
"Akhtar_ul_Iman",
"hasGender",
"male"
],
[
"Akhtar_ul_Iman",
"isCitizenOf",
"India"
],
[
"Albert_Ernest_Kitson",
"hasGender",
"male"
],
[
"Albert_Ernest_Kitson",
"livesIn",
"India"
],
[
"Allu_Arjun",
"hasGender",
"male"
],
[
"Allu_Arjun",
"isCitizenOf",
"India"
],
[
"Ambareesh",
"hasGender",
"male"
],
[
"Ambareesh",
"isPoliticianOf",
"India"
],
[
"Amitav_Ghosh",
"hasGender",
"male"
],
[
"Amitav_Ghosh",
"isCitizenOf",
"India"
],
[
"Anand_Mahindra",
"hasGender",
"male"
],
[
"Anand_Mahindra",
"isCitizenOf",
"India"
],
[
"Anand_Mahindra",
"livesIn",
"India"
],
[
"Anil_Kakodkar",
"hasGender",
"male"
],
[
"Anil_Kakodkar",
"isCitizenOf",
"India"
],
[
"Anil_Kakodkar",
"livesIn",
"India"
],
[
"Anupam_Kher",
"hasGender",
"male"
],
[
"Anupam_Kher",
"isCitizenOf",
"India"
],
[
"Ashoke_Sen",
"hasGender",
"male"
],
[
"Ashoke_Sen",
"isCitizenOf",
"India"
],
[
"Awara_Paagal_Deewana",
"isLocatedIn",
"India"
],
[
"B._R._Ambedkar",
"hasGender",
"male"
],
[
"B._R._Ambedkar",
"isPoliticianOf",
"India"
],
[
"Balakumaran",
"hasGender",
"male"
],
[
"Balakumaran",
"isCitizenOf",
"India"
],
[
"Bharat_Bhushan",
"hasGender",
"male"
],
[
"Bharat_Bhushan",
"isCitizenOf",
"India"
],
[
"Bharath",
"hasGender",
"male"
],
[
"Bharath",
"isCitizenOf",
"India"
],
[
"Bijoy_Krishna_Handique",
"hasGender",
"male"
],
[
"Bijoy_Krishna_Handique",
"isPoliticianOf",
"India"
],
[
"C._R._Rao",
"hasGender",
"male"
],
[
"C._R._Rao",
"livesIn",
"India"
],
[
"C._V._Raman",
"hasGender",
"male"
],
[
"C._V._Raman",
"isCitizenOf",
"India"
],
[
"Chaudry_Mohammad_Aslam",
"hasGender",
"male"
],
[
"Chaudry_Mohammad_Aslam",
"isCitizenOf",
"India"
],
[
"Chiranjeevi",
"hasGender",
"male"
],
[
"Chiranjeevi",
"isPoliticianOf",
"India"
],
[
"D._R._Bendre",
"hasGender",
"male"
],
[
"D._R._Bendre",
"isCitizenOf",
"India"
],
[
"Dasari_Narayana_Rao",
"hasGender",
"male"
],
[
"Dasari_Narayana_Rao",
"isPoliticianOf",
"India"
],
[
"Debendranath_Tagore",
"hasGender",
"male"
],
[
"Debendranath_Tagore",
"isCitizenOf",
"India"
],
[
"Deepak_Thakur",
"hasGender",
"male"
],
[
"Deepak_Thakur",
"isCitizenOf",
"India"
],
[
"Deepak_Thakur",
"livesIn",
"India"
],
[
"Dharmendra",
"hasGender",
"male"
],
[
"Dharmendra",
"livesIn",
"India"
],
[
"Dilip_Kumar",
"hasGender",
"male"
],
[
"Dilip_Kumar",
"livesIn",
"India"
],
[
"E._C._George_Sudarshan",
"hasGender",
"male"
],
[
"E._C._George_Sudarshan",
"isCitizenOf",
"India"
],
[
"Edmund_Andros",
"hasGender",
"male"
],
[
"Farooq_Sheikh",
"hasGender",
"male"
],
[
"Farooq_Sheikh",
"isCitizenOf",
"India"
],
[
"G._N._Ramachandran",
"hasGender",
"male"
],
[
"G._N._Ramachandran",
"isCitizenOf",
"India"
],
[
"Girish_Karnad",
"hasGender",
"male"
],
[
"Girish_Karnad",
"isCitizenOf",
"India"
],
[
"Govinda_(actor)",
"hasGender",
"male"
],
[
"Govinda_(actor)",
"isCitizenOf",
"India"
],
[
"Govindarajan_Padmanaban",
"hasGender",
"male"
],
[
"Govindarajan_Padmanaban",
"isCitizenOf",
"India"
],
[
"Govindarajan_Padmanaban",
"livesIn",
"India"
],
[
"Gulzarilal_Nanda",
"hasGender",
"male"
],
[
"Gulzarilal_Nanda",
"isPoliticianOf",
"India"
],
[
"H._D._Deve_Gowda",
"hasGender",
"male"
],
[
"H._D._Deve_Gowda",
"isCitizenOf",
"India"
],
[
"H._D._Deve_Gowda",
"isPoliticianOf",
"India"
],
[
"Har_Gobind_Khorana",
"hasGender",
"male"
],
[
"Har_Gobind_Khorana",
"livesIn",
"India"
],
[
"Homi_Sethna",
"hasGender",
"male"
],
[
"Homi_Sethna",
"isCitizenOf",
"India"
],
[
"India",
"participatedIn",
"Edmund_Andros"
],
[
"J._R._D._Tata",
"hasGender",
"male"
],
[
"J._R._D._Tata",
"isCitizenOf",
"India"
],
[
"Janaki_Ballabh_Patnaik",
"hasGender",
"male"
],
[
"Janaki_Ballabh_Patnaik",
"isPoliticianOf",
"India"
],
[
"Javed_Akhtar",
"hasGender",
"male"
],
[
"Javed_Akhtar",
"isCitizenOf",
"India"
],
[
"Jawaharlal_Nehru",
"hasGender",
"male"
],
[
"Jawaharlal_Nehru",
"isPoliticianOf",
"India"
],
[
"Jayant_Kaikini",
"hasGender",
"male"
],
[
"Jayant_Kaikini",
"isCitizenOf",
"India"
],
[
"Jayant_Narlikar",
"hasGender",
"male"
],
[
"Jayant_Narlikar",
"isCitizenOf",
"India"
],
[
"Jayant_Narlikar",
"livesIn",
"India"
],
[
"Joy_Mukherjee",
"hasGender",
"male"
],
[
"Joy_Mukherjee",
"livesIn",
"India"
],
[
"K._G._Ramanathan",
"hasGender",
"male"
],
[
"K._G._Ramanathan",
"isCitizenOf",
"India"
],
[
"K._V._Subbanna",
"hasGender",
"male"
],
[
"K._V._Subbanna",
"isCitizenOf",
"India"
],
[
"Kannan_Soundararajan",
"hasGender",
"male"
],
[
"Kannan_Soundararajan",
"isCitizenOf",
"India"
],
[
"Kevin_Desouza",
"hasGender",
"male"
],
[
"Kevin_Desouza",
"isCitizenOf",
"India"
],
[
"Kunjunni_Mash",
"hasGender",
"male"
],
[
"Kunjunni_Mash",
"isCitizenOf",
"India"
],
[
"Kuvempu",
"hasGender",
"male"
],
[
"Kuvempu",
"isCitizenOf",
"India"
],
[
"Lakshmi_Mittal",
"hasGender",
"male"
],
[
"Lakshmi_Mittal",
"isCitizenOf",
"India"
],
[
"Lal_Bahadur_Shastri",
"hasGender",
"male"
],
[
"Lal_Bahadur_Shastri",
"isPoliticianOf",
"India"
],
[
"Liaquat_Ali_Khan",
"hasGender",
"male"
],
[
"Liaquat_Ali_Khan",
"isPoliticianOf",
"India"
],
[
"M._K._Alagiri",
"hasGender",
"male"
],
[
"M._K._Alagiri",
"isPoliticianOf",
"India"
],
[
"M._S._Swaminathan",
"hasGender",
"male"
],
[
"M._S._Swaminathan",
"isCitizenOf",
"India"
],
[
"Madhu_Sudan",
"hasGender",
"male"
],
[
"Madhu_Sudan",
"isCitizenOf",
"India"
],
[
"Manmohan_Singh",
"hasGender",
"male"
],
[
"Manmohan_Singh",
"isPoliticianOf",
"India"
],
[
"Michael_J._S._Dewar",
"hasGender",
"male"
],
[
"Michael_J._S._Dewar",
"isCitizenOf",
"India"
],
[
"Miloš_Pavlović_(footballer)",
"hasGender",
"male"
],
[
"Morarji_Desai",
"hasGender",
"male"
],
[
"Morarji_Desai",
"isPoliticianOf",
"India"
],
[
"Muhammad_Zakariya_Kandhlawi",
"hasGender",
"male"
],
[
"Muhammad_Zakariya_Kandhlawi",
"isCitizenOf",
"India"
],
[
"Mukarram_Jah",
"hasGender",
"male"
],
[
"Mukarram_Jah",
"livesIn",
"India"
],
[
"Mukesh_Ambani",
"hasGender",
"male"
],
[
"Mukesh_Ambani",
"isCitizenOf",
"India"
],
[
"Mysore_Doreswamy_Madhusudan",
"hasGender",
"male"
],
[
"Mysore_Doreswamy_Madhusudan",
"isCitizenOf",
"India"
],
[
"Nagendra_Babu",
"hasGender",
"male"
],
[
"Nagendra_Babu",
"isCitizenOf",
"India"
],
[
"Nagendra_Babu",
"livesIn",
"India"
],
[
"Nandamuri_Balakrishna",
"hasGender",
"male"
],
[
"Nandamuri_Balakrishna",
"isCitizenOf",
"India"
],
[
"Napoleon_(actor)",
"hasGender",
"male"
],
[
"Napoleon_(actor)",
"isPoliticianOf",
"India"
],
[
"Napoleon_(actor)",
"livesIn",
"India"
],
[
"Narendra_Modi",
"hasGender",
"male"
],
[
"Narendra_Modi",
"isLeaderOf",
"India"
],
[
"Narendra_Modi",
"isPoliticianOf",
"India"
],
[
"Naseeruddin_Shah",
"hasGender",
"male"
],
[
"Naseeruddin_Shah",
"isCitizenOf",
"India"
],
[
"Nikhil_Kumar",
"hasGender",
"male"
],
[
"Nikhil_Kumar",
"isPoliticianOf",
"India"
],
[
"Nitin_Saxena",
"hasGender",
"male"
],
[
"Nitin_Saxena",
"isCitizenOf",
"India"
],
[
"O._N._V._Kurup",
"hasGender",
"male"
],
[
"O._N._V._Kurup",
"isCitizenOf",
"India"
],
[
"O._N._V._Kurup",
"livesIn",
"India"
],
[
"P._Subbarayan",
"hasGender",
"male"
],
[
"P._Subbarayan",
"isCitizenOf",
"India"
],
[
"Parambrata_Chatterjee",
"hasGender",
"male"
],
[
"Parambrata_Chatterjee",
"isCitizenOf",
"India"
],
[
"Paresh_Rawal",
"actedIn",
"Awara_Paagal_Deewana"
],
[
"Paresh_Rawal",
"hasGender",
"male"
],
[
"Paresh_Rawal",
"isCitizenOf",
"India"
],
[
"Prabhas",
"hasGender",
"male"
],
[
"Prabhas",
"isCitizenOf",
"India"
],
[
"Prabhjot_Singh",
"hasGender",
"male"
],
[
"Prabhjot_Singh",
"isCitizenOf",
"India"
],
[
"Pranab_Mukherjee",
"hasGender",
"male"
],
[
"Pranab_Mukherjee",
"isLeaderOf",
"India"
],
[
"Pranab_Mukherjee",
"isPoliticianOf",
"India"
],
[
"Prasanta_Chandra_Mahalanobis",
"hasGender",
"male"
],
[
"Prasanta_Chandra_Mahalanobis",
"isCitizenOf",
"India"
],
[
"Priyanshu_Chatterjee",
"hasGender",
"male"
],
[
"Priyanshu_Chatterjee",
"livesIn",
"India"
],
[
"Rahul_Gandhi",
"hasGender",
"male"
],
[
"Rahul_Gandhi",
"isPoliticianOf",
"India"
],
[
"Raja_Ramanna",
"hasGender",
"male"
],
[
"Raja_Ramanna",
"isCitizenOf",
"India"
],
[
"Raja_Ramanna",
"isPoliticianOf",
"India"
],
[
"Rajagopala_Chidambaram",
"hasGender",
"male"
],
[
"Rajagopala_Chidambaram",
"isCitizenOf",
"India"
],
[
"Rajagopala_Chidambaram",
"livesIn",
"India"
],
[
"Rajiv_Gandhi",
"hasGender",
"male"
],
[
"Rajiv_Gandhi",
"isPoliticianOf",
"India"
],
[
"Rajkumar_Santoshi",
"hasGender",
"male"
],
[
"Rajkumar_Santoshi",
"isCitizenOf",
"India"
],
[
"Rajneesh",
"hasGender",
"male"
],
[
"Rajneesh",
"isCitizenOf",
"India"
],
[
"Rakesh_Roshan",
"hasGender",
"male"
],
[
"Rakesh_Roshan",
"isCitizenOf",
"India"
],
[
"Ram_Gopal_Varma",
"hasGender",
"male"
],
[
"Ram_Gopal_Varma",
"livesIn",
"India"
],
[
"Ratan_Tata",
"hasGender",
"male"
],
[
"Ratan_Tata",
"isCitizenOf",
"India"
],
[
"Ronald_Ross",
"hasGender",
"male"
],
[
"Ronald_Ross",
"isCitizenOf",
"India"
],
[
"Rudranil_Ghosh",
"hasGender",
"male"
],
[
"Rudranil_Ghosh",
"isCitizenOf",
"India"
],
[
"Rudranil_Ghosh",
"livesIn",
"India"
],
[
"S._R._Ekkundi",
"hasGender",
"male"
],
[
"S._R._Ekkundi",
"isCitizenOf",
"India"
],
[
"S._R._Srinivasa_Varadhan",
"hasGender",
"male"
],
[
"S._R._Srinivasa_Varadhan",
"isCitizenOf",
"India"
],
[
"Saif_Ali_Khan",
"hasGender",
"male"
],
[
"Saif_Ali_Khan",
"isCitizenOf",
"India"
],
[
"Salim_Khan",
"hasGender",
"male"
],
[
"Salim_Khan",
"isCitizenOf",
"India"
],
[
"Salim_Khan",
"livesIn",
"India"
],
[
"Sanjay_Gandhi",
"hasGender",
"male"
],
[
"Sanjay_Gandhi",
"isPoliticianOf",
"India"
],
[
"Sanjay_Gandhi",
"livesIn",
"India"
],
[
"Sanjay_Leela_Bhansali",
"hasGender",
"male"
],
[
"Sanjay_Leela_Bhansali",
"isCitizenOf",
"India"
],
[
"Sarat_Chandra_Sinha",
"hasGender",
"male"
],
[
"Sarat_Chandra_Sinha",
"isCitizenOf",
"India"
],
[
"Sarvepalli_Radhakrishnan",
"hasGender",
"male"
],
[
"Sarvepalli_Radhakrishnan",
"isCitizenOf",
"India"
],
[
"Sarvepalli_Radhakrishnan",
"isPoliticianOf",
"India"
],
[
"Satyendra_Nath_Bose",
"hasGender",
"male"
],
[
"Satyendra_Nath_Bose",
"isCitizenOf",
"India"
],
[
"Sendhil_Mullainathan",
"hasGender",
"male"
],
[
"Sendhil_Mullainathan",
"isCitizenOf",
"India"
],
[
"Shankar_(director)",
"hasGender",
"male"
],
[
"Shankar_(director)",
"livesIn",
"India"
],
[
"Shankar_Dayal_Sharma",
"hasGender",
"male"
],
[
"Shankar_Dayal_Sharma",
"isPoliticianOf",
"India"
],
[
"Sharad_Pawar",
"hasGender",
"male"
],
[
"Sharad_Pawar",
"isPoliticianOf",
"India"
],
[
"Sharadchandra_Shankar_Shrikhande",
"hasGender",
"male"
],
[
"Sharadchandra_Shankar_Shrikhande",
"isCitizenOf",
"India"
],
[
"Sharadchandra_Shankar_Shrikhande",
"livesIn",
"India"
],
[
"Shiney_Ahuja",
"hasGender",
"male"
],
[
"Shiney_Ahuja",
"livesIn",
"India"
],
[
"Shiv_Nadar",
"hasGender",
"male"
],
[
"Shiv_Nadar",
"isCitizenOf",
"India"
],
[
"Shivajirao_Patil_Nilangekar",
"hasGender",
"male"
],
[
"Shivajirao_Patil_Nilangekar",
"isCitizenOf",
"India"
],
[
"Siddhanta_Mahapatra",
"hasGender",
"male"
],
[
"Siddhanta_Mahapatra",
"isCitizenOf",
"India"
],
[
"Siddhartha_Shankar_Ray",
"hasGender",
"male"
],
[
"Siddhartha_Shankar_Ray",
"isCitizenOf",
"India"
],
[
"Siddhartha_Shankar_Ray",
"isPoliticianOf",
"India"
],
[
"Siddhartha_Shankar_Ray",
"livesIn",
"India"
],
[
"Singeetam_Srinivasa_Rao",
"hasGender",
"male"
],
[
"Singeetam_Srinivasa_Rao",
"isCitizenOf",
"India"
],
[
"Sohail_Khan",
"hasGender",
"male"
],
[
"Sohail_Khan",
"isCitizenOf",
"India"
],
[
"Somnath_Bharadwaj",
"hasGender",
"male"
],
[
"Somnath_Bharadwaj",
"isCitizenOf",
"India"
],
[
"Somnath_Bharadwaj",
"livesIn",
"India"
],
[
"Suresh_Oberoi",
"hasGender",
"male"
],
[
"Suresh_Oberoi",
"livesIn",
"India"
],
[
"Susi_Ganeshan",
"hasGender",
"male"
],
[
"Susi_Ganeshan",
"livesIn",
"India"
],
[
"T._K._Rajeev_Kumar",
"hasGender",
"male"
],
[
"T._K._Rajeev_Kumar",
"livesIn",
"India"
],
[
"Thanu_Padmanabhan",
"hasGender",
"male"
],
[
"Thanu_Padmanabhan",
"livesIn",
"India"
],
[
"U._R._Ananthamurthy",
"hasGender",
"male"
],
[
"U._R._Ananthamurthy",
"isCitizenOf",
"India"
],
[
"Uday_Shankar",
"hasGender",
"male"
],
[
"Uday_Shankar",
"isCitizenOf",
"India"
],
[
"Umesh_Vazirani",
"hasGender",
"male"
],
[
"Umesh_Vazirani",
"isCitizenOf",
"India"
],
[
"Upamanyu_Chatterjee",
"hasGender",
"male"
],
[
"Upamanyu_Chatterjee",
"isCitizenOf",
"India"
],
[
"V._K._Gokak",
"hasGender",
"male"
],
[
"V._K._Gokak",
"isCitizenOf",
"India"
],
[
"V._K._Krishna_Menon",
"hasGender",
"male"
],
[
"V._K._Krishna_Menon",
"isPoliticianOf",
"India"
],
[
"V._V._Giri",
"hasGender",
"male"
],
[
"V._V._Giri",
"isPoliticianOf",
"India"
],
[
"V._V._S._Aiyar",
"hasGender",
"male"
],
[
"V._V._S._Aiyar",
"isCitizenOf",
"India"
],
[
"Venkatraman_Ramakrishnan",
"hasGender",
"male"
],
[
"Venkatraman_Ramakrishnan",
"isCitizenOf",
"India"
],
[
"Verghese_Kurien",
"hasGender",
"male"
],
[
"Verghese_Kurien",
"isCitizenOf",
"India"
],
[
"Vijay_Raaz",
"hasGender",
"male"
],
[
"Vijay_Raaz",
"isCitizenOf",
"India"
],
[
"Vijay_Tendulkar",
"hasGender",
"male"
],
[
"Vijay_Tendulkar",
"isCitizenOf",
"India"
],
[
"Vikram_Bhatt",
"directed",
"Awara_Paagal_Deewana"
],
[
"Vikram_Bhatt",
"hasGender",
"male"
],
[
"Vikram_Bhatt",
"isCitizenOf",
"India"
],
[
"Vikram_Sarabhai",
"hasGender",
"male"
],
[
"Vikram_Sarabhai",
"isCitizenOf",
"India"
],
[
"Vikram_Sarabhai",
"livesIn",
"India"
],
[
"Vinod_Khanna",
"hasGender",
"male"
],
[
"Vinod_Khanna",
"isPoliticianOf",
"India"
],
[
"Virbhadra_Singh",
"hasGender",
"male"
],
[
"Virbhadra_Singh",
"isCitizenOf",
"India"
],
[
"Virbhadra_Singh",
"isPoliticianOf",
"India"
],
[
"Viren_Rasquinha",
"hasGender",
"male"
],
[
"Viren_Rasquinha",
"livesIn",
"India"
],
[
"Vishal_(actor)",
"hasGender",
"male"
],
[
"Vishal_(actor)",
"isCitizenOf",
"India"
],
[
"Wajahat_Mirza",
"hasGender",
"male"
],
[
"Wajahat_Mirza",
"livesIn",
"India"
],
[
"Yandamuri_Veerendranath",
"hasGender",
"male"
],
[
"Yandamuri_Veerendranath",
"isCitizenOf",
"India"
],
[
"Zakir_Hussain_(politician)",
"hasGender",
"male"
],
[
"Zakir_Hussain_(politician)",
"isPoliticianOf",
"India"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
10593, Ashwin_Sanghi
96119, Butte,_Montana
60422, Chicago
77187, Dan_Brown
113797, Irving_Wallace
43387, Sidney_Sheldon
14170, Silver_Bow_County,_Montana
29157, United_States
35951, Yale_University
src, edge_attr, dst
10593, graduatedFrom, 35951
96119, isLocatedIn, 14170
96119, isLocatedIn, 29157
77187, influences, 10593
113797, influences, 10593
113797, wasBornIn, 60422
43387, influences, 10593
43387, influences, 77187
43387, wasBornIn, 60422
35951, isLocatedIn, 29157
Question: In what context are Ashwin_Sanghi and Silver_Bow_County,_Montana connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ashwin_Sanghi",
"Silver_Bow_County,_Montana"
],
"valid_edges": [
[
"Ashwin_Sanghi",
"graduatedFrom",
"Yale_University"
],
[
"Butte,_Montana",
"isLocatedIn",
"Silver_Bow_County,_Montana"
],
[
"Butte,_Montana",
"isLocatedIn",
"United_States"
],
[
"Dan_Brown",
"influences",
"Ashwin_Sanghi"
],
[
"Irving_Wallace",
"influences",
"Ashwin_Sanghi"
],
[
"Irving_Wallace",
"wasBornIn",
"Chicago"
],
[
"Sidney_Sheldon",
"influences",
"Ashwin_Sanghi"
],
[
"Sidney_Sheldon",
"influences",
"Dan_Brown"
],
[
"Sidney_Sheldon",
"wasBornIn",
"Chicago"
],
[
"Yale_University",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
102387, Aljoša_Vojnović
111890, Croatia_national_under-21_football_team
114076, Hrvoje_Kovačević
122092, Kristian_Flittie_Onstad
44821, Raufoss_IL
src, edge_attr, dst
102387, playsFor, 111890
102387, playsFor, 44821
114076, isAffiliatedTo, 111890
114076, playsFor, 111890
122092, isAffiliatedTo, 44821
122092, playsFor, 44821
Question: How are Hrvoje_Kovačević and Kristian_Flittie_Onstad related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Hrvoje_Kovačević",
"Kristian_Flittie_Onstad"
],
"valid_edges": [
[
"Aljoša_Vojnović",
"playsFor",
"Croatia_national_under-21_football_team"
],
[
"Aljoša_Vojnović",
"playsFor",
"Raufoss_IL"
],
[
"Hrvoje_Kovačević",
"isAffiliatedTo",
"Croatia_national_under-21_football_team"
],
[
"Hrvoje_Kovačević",
"playsFor",
"Croatia_national_under-21_football_team"
],
[
"Kristian_Flittie_Onstad",
"isAffiliatedTo",
"Raufoss_IL"
],
[
"Kristian_Flittie_Onstad",
"playsFor",
"Raufoss_IL"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
64692, Andrew_Johnson
79925, Appalachian_Mountains
39808, Athens,_Tennessee
91730, Austin_Peay_State_University
93909, Battle_of_Fort_Donelson
35223, Battle_of_Island_Number_Ten
111680, Battle_of_Nashville
99840, Blountville,_Tennessee
4827, Blue_Ridge_Mountains
98699, Bolivar,_Tennessee
50587, Brentwood,_Tennessee
59795, Bristol,_Tennessee
109574, Brownsville,_Tennessee
41642, Camden,_Tennessee
104102, Carthage,_Tennessee
98450, Chattanooga
43303, Chattanooga,_Tennessee
22841, Clarksville,_Tennessee
36941, Cleveland,_Tennessee
26504, Clinton,_Tennessee
95045, Colgan_Air
16211, Collierville,_Tennessee
72857, Columbia,_Tennessee
59190, Confederate_States_of_America
12419, Cookeville,_Tennessee
30317, Covington,_Tennessee
72638, Crossville,_Tennessee
18469, Cumberland_University
49244, Dayton,_Tennessee
110367, Dickson,_Tennessee
100795, Dresden,_Tennessee
77143, Dyersburg,_Tennessee
112958, East_Tennessee_State_University
37405, Fayetteville,_Tennessee
11456, FedExForum
53091, Fisk_University
12770, Franklin,_Tennessee
25889, Gallatin,_Tennessee
103290, Germantown,_Tennessee
8330, Goodlettsville,_Tennessee
75453, Great_Smoky_Mountains_National_Park
96949, Greeneville,_Tennessee
55646, Harriman,_Tennessee
78754, Henderson,_Tennessee
5209, Hendersonville,_Tennessee
51846, Humboldt,_Tennessee
22539, Jackson,_Tennessee
16360, James_K._Polk
73741, Jamestown,_Tennessee
90439, Jasper,_Tennessee
40182, Jefferson_City,_Tennessee
24258, Johnson_City,_Tennessee
73704, Jonesborough,_Tennessee
86683, King_University
69205, Kingsport,_Tennessee
5253, Kingston,_Tennessee
116010, Knoxville
17048, Knoxville,_Tennessee
11724, Lamar_Alexander
19843, Lawrenceburg,_Tennessee
25678, Lebanon,_Tennessee
66237, Lee_University
22911, Lewisburg,_Tennessee
109417, Lexington,_Tennessee
85472, Lincoln_Memorial_University
686, Lipscomb_University
106547, Manchester,_Tennessee
76547, Martin,_Tennessee
78481, Maryville,_Tennessee
36135, Maryville_College
54991, McKenzie,_Tennessee
25685, McMinnville,_Tennessee
70529, Memphis,_Tennessee
101948, Middle_Tennessee_State_University
85243, Milligan_College
99542, Millington,_Tennessee
107730, Mississippi_River
121201, Morristown,_Tennessee
52694, Mount_Juliet,_Tennessee
47909, Murfreesboro,_Tennessee
120418, Nashville,_Tennessee
80670, Newport,_Tennessee
21714, Oak_Ridge,_Tennessee
7674, Obion_County,_Tennessee
80135, Paris,_Tennessee
70593, Pigeon_Forge,_Tennessee
80177, Pine_Mountain_(Appalachian_Mountains)
14998, Pulaski,_Tennessee
86841, Rhodes_College
1642, Rio_Rita_(1942_film)
117573, Ripley,_Tennessee
39918, Rogersville,_Tennessee
77615, Savannah,_Tennessee
96783, Scripps_Networks_Interactive
46380, Sevierville,_Tennessee
103899, Sewanee,_Tennessee
52396, Shelbyville,_Tennessee
18939, Smyrna,_Tennessee
7117, Sparta,_Tennessee
7770, Spring_Hill,_Tennessee
109292, Tennessee
50363, Tennessee_Technological_University
119529, Trenton,_Tennessee
53911, Tullahoma,_Tennessee
103090, Tusculum_College
5013, Union_City,_Tennessee
29157, United_States
28442, University_of_Memphis
69593, University_of_Tennessee_at_Chattanooga
105625, University_of_Tennessee_at_Martin
31185, Vanderbilt_University
72970, Winchester,_Tennessee
src, edge_attr, dst
64692, isPoliticianOf, 109292
64692, isPoliticianOf, 29157
79925, isLocatedIn, 109292
79925, isLocatedIn, 29157
39808, isLocatedIn, 109292
39808, isLocatedIn, 29157
91730, isLocatedIn, 109292
91730, isLocatedIn, 29157
93909, happenedIn, 109292
93909, isLocatedIn, 29157
35223, happenedIn, 109292
111680, happenedIn, 109292
111680, happenedIn, 29157
111680, isLocatedIn, 109292
99840, isLocatedIn, 109292
99840, isLocatedIn, 29157
4827, isLocatedIn, 109292
4827, isLocatedIn, 29157
98699, isLocatedIn, 109292
98699, isLocatedIn, 29157
50587, isLocatedIn, 109292
50587, isLocatedIn, 29157
59795, isLocatedIn, 109292
59795, isLocatedIn, 29157
109574, isLocatedIn, 109292
109574, isLocatedIn, 29157
41642, isLocatedIn, 109292
41642, isLocatedIn, 29157
104102, isLocatedIn, 109292
104102, isLocatedIn, 29157
98450, isLocatedIn, 109292
98450, isLocatedIn, 29157
43303, isLocatedIn, 109292
43303, isLocatedIn, 29157
22841, isLocatedIn, 109292
22841, isLocatedIn, 29157
36941, isLocatedIn, 109292
36941, isLocatedIn, 29157
26504, isLocatedIn, 109292
26504, isLocatedIn, 29157
95045, isLocatedIn, 109292
95045, isLocatedIn, 29157
16211, isLocatedIn, 109292
16211, isLocatedIn, 29157
72857, isLocatedIn, 109292
72857, isLocatedIn, 29157
59190, isLocatedIn, 29157
12419, isLocatedIn, 109292
12419, isLocatedIn, 29157
30317, isLocatedIn, 109292
30317, isLocatedIn, 29157
72638, isLocatedIn, 109292
72638, isLocatedIn, 29157
18469, isLocatedIn, 109292
18469, isLocatedIn, 29157
49244, isLocatedIn, 109292
49244, isLocatedIn, 29157
110367, isLocatedIn, 109292
110367, isLocatedIn, 29157
100795, isLocatedIn, 109292
100795, isLocatedIn, 29157
77143, isLocatedIn, 109292
77143, isLocatedIn, 29157
112958, isLocatedIn, 109292
112958, isLocatedIn, 29157
37405, isLocatedIn, 109292
37405, isLocatedIn, 29157
11456, isLocatedIn, 109292
11456, isLocatedIn, 29157
53091, isLocatedIn, 109292
53091, isLocatedIn, 29157
12770, isLocatedIn, 109292
12770, isLocatedIn, 29157
25889, isLocatedIn, 109292
25889, isLocatedIn, 29157
103290, isLocatedIn, 109292
103290, isLocatedIn, 29157
8330, isLocatedIn, 109292
8330, isLocatedIn, 29157
75453, isLocatedIn, 109292
75453, isLocatedIn, 29157
96949, isLocatedIn, 109292
96949, isLocatedIn, 29157
55646, isLocatedIn, 109292
55646, isLocatedIn, 29157
78754, isLocatedIn, 109292
78754, isLocatedIn, 29157
5209, isLocatedIn, 109292
5209, isLocatedIn, 29157
51846, isLocatedIn, 109292
51846, isLocatedIn, 29157
22539, isLocatedIn, 109292
22539, isLocatedIn, 29157
16360, isPoliticianOf, 109292
16360, isPoliticianOf, 29157
73741, isLocatedIn, 109292
73741, isLocatedIn, 29157
90439, isLocatedIn, 109292
90439, isLocatedIn, 29157
40182, isLocatedIn, 109292
40182, isLocatedIn, 29157
24258, isLocatedIn, 109292
24258, isLocatedIn, 29157
73704, isLocatedIn, 109292
73704, isLocatedIn, 29157
86683, isLocatedIn, 109292
86683, isLocatedIn, 29157
69205, isLocatedIn, 109292
69205, isLocatedIn, 29157
5253, isLocatedIn, 109292
5253, isLocatedIn, 29157
116010, isLocatedIn, 109292
116010, isLocatedIn, 29157
17048, isLocatedIn, 109292
17048, isLocatedIn, 29157
11724, isCitizenOf, 29157
11724, isPoliticianOf, 109292
11724, isPoliticianOf, 29157
11724, livesIn, 29157
19843, isLocatedIn, 109292
19843, isLocatedIn, 29157
25678, isLocatedIn, 109292
25678, isLocatedIn, 29157
66237, isLocatedIn, 109292
66237, isLocatedIn, 29157
22911, isLocatedIn, 109292
22911, isLocatedIn, 29157
109417, isLocatedIn, 109292
109417, isLocatedIn, 29157
85472, isLocatedIn, 109292
85472, isLocatedIn, 29157
686, isLocatedIn, 109292
686, isLocatedIn, 29157
106547, isLocatedIn, 109292
106547, isLocatedIn, 29157
76547, isLocatedIn, 109292
76547, isLocatedIn, 29157
78481, isLocatedIn, 109292
78481, isLocatedIn, 29157
36135, isLocatedIn, 109292
36135, isLocatedIn, 29157
54991, isLocatedIn, 109292
54991, isLocatedIn, 29157
25685, isLocatedIn, 109292
25685, isLocatedIn, 29157
70529, isLocatedIn, 109292
70529, isLocatedIn, 29157
101948, isLocatedIn, 109292
101948, isLocatedIn, 29157
85243, isLocatedIn, 109292
85243, isLocatedIn, 29157
99542, isLocatedIn, 109292
99542, isLocatedIn, 29157
107730, isLocatedIn, 109292
107730, isLocatedIn, 29157
121201, isLocatedIn, 109292
121201, isLocatedIn, 29157
52694, isLocatedIn, 109292
52694, isLocatedIn, 29157
47909, isLocatedIn, 109292
47909, isLocatedIn, 29157
120418, isLocatedIn, 109292
120418, isLocatedIn, 29157
80670, isLocatedIn, 109292
80670, isLocatedIn, 29157
21714, isLocatedIn, 109292
21714, isLocatedIn, 29157
7674, isLocatedIn, 109292
80135, isLocatedIn, 109292
80135, isLocatedIn, 29157
70593, isLocatedIn, 109292
70593, isLocatedIn, 29157
80177, isLocatedIn, 109292
80177, isLocatedIn, 29157
14998, isLocatedIn, 109292
14998, isLocatedIn, 29157
86841, isLocatedIn, 109292
86841, isLocatedIn, 29157
1642, isLocatedIn, 29157
117573, isLocatedIn, 109292
117573, isLocatedIn, 29157
39918, isLocatedIn, 109292
39918, isLocatedIn, 29157
77615, isLocatedIn, 109292
77615, isLocatedIn, 29157
96783, isLocatedIn, 109292
96783, isLocatedIn, 29157
46380, isLocatedIn, 109292
46380, isLocatedIn, 29157
103899, isLocatedIn, 109292
103899, isLocatedIn, 29157
52396, isLocatedIn, 109292
52396, isLocatedIn, 29157
18939, isLocatedIn, 109292
18939, isLocatedIn, 29157
7117, isLocatedIn, 109292
7117, isLocatedIn, 29157
7770, isLocatedIn, 109292
7770, isLocatedIn, 29157
109292, hasCapital, 70529
109292, hasCapital, 120418
109292, isLocatedIn, 59190
109292, isLocatedIn, 29157
50363, isLocatedIn, 109292
50363, isLocatedIn, 29157
119529, isLocatedIn, 109292
119529, isLocatedIn, 29157
53911, isLocatedIn, 109292
53911, isLocatedIn, 29157
103090, isLocatedIn, 109292
103090, isLocatedIn, 29157
5013, isLocatedIn, 7674
5013, isLocatedIn, 109292
5013, isLocatedIn, 29157
29157, participatedIn, 93909
29157, participatedIn, 35223
29157, participatedIn, 111680
28442, isLocatedIn, 109292
28442, isLocatedIn, 29157
69593, isLocatedIn, 109292
69593, isLocatedIn, 29157
105625, isLocatedIn, 109292
105625, isLocatedIn, 29157
31185, isLocatedIn, 109292
31185, isLocatedIn, 29157
72970, isLocatedIn, 109292
72970, isLocatedIn, 29157
Question: For what reason are Obion_County,_Tennessee and Rio_Rita_(1942_film) associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Obion_County,_Tennessee",
"Rio_Rita_(1942_film)"
],
"valid_edges": [
[
"Andrew_Johnson",
"isPoliticianOf",
"Tennessee"
],
[
"Andrew_Johnson",
"isPoliticianOf",
"United_States"
],
[
"Appalachian_Mountains",
"isLocatedIn",
"Tennessee"
],
[
"Appalachian_Mountains",
"isLocatedIn",
"United_States"
],
[
"Athens,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Athens,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Austin_Peay_State_University",
"isLocatedIn",
"Tennessee"
],
[
"Austin_Peay_State_University",
"isLocatedIn",
"United_States"
],
[
"Battle_of_Fort_Donelson",
"happenedIn",
"Tennessee"
],
[
"Battle_of_Fort_Donelson",
"isLocatedIn",
"United_States"
],
[
"Battle_of_Island_Number_Ten",
"happenedIn",
"Tennessee"
],
[
"Battle_of_Nashville",
"happenedIn",
"Tennessee"
],
[
"Battle_of_Nashville",
"happenedIn",
"United_States"
],
[
"Battle_of_Nashville",
"isLocatedIn",
"Tennessee"
],
[
"Blountville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Blountville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Blue_Ridge_Mountains",
"isLocatedIn",
"Tennessee"
],
[
"Blue_Ridge_Mountains",
"isLocatedIn",
"United_States"
],
[
"Bolivar,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Bolivar,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Brentwood,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Brentwood,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Bristol,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Bristol,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Brownsville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Brownsville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Camden,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Camden,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Carthage,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Carthage,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Chattanooga",
"isLocatedIn",
"Tennessee"
],
[
"Chattanooga",
"isLocatedIn",
"United_States"
],
[
"Chattanooga,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Chattanooga,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Clarksville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Clarksville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Cleveland,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Cleveland,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Clinton,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Clinton,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Colgan_Air",
"isLocatedIn",
"Tennessee"
],
[
"Colgan_Air",
"isLocatedIn",
"United_States"
],
[
"Collierville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Collierville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Columbia,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Columbia,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Confederate_States_of_America",
"isLocatedIn",
"United_States"
],
[
"Cookeville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Cookeville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Covington,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Covington,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Crossville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Crossville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Cumberland_University",
"isLocatedIn",
"Tennessee"
],
[
"Cumberland_University",
"isLocatedIn",
"United_States"
],
[
"Dayton,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Dayton,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Dickson,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Dickson,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Dresden,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Dresden,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Dyersburg,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Dyersburg,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"East_Tennessee_State_University",
"isLocatedIn",
"Tennessee"
],
[
"East_Tennessee_State_University",
"isLocatedIn",
"United_States"
],
[
"Fayetteville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Fayetteville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"FedExForum",
"isLocatedIn",
"Tennessee"
],
[
"FedExForum",
"isLocatedIn",
"United_States"
],
[
"Fisk_University",
"isLocatedIn",
"Tennessee"
],
[
"Fisk_University",
"isLocatedIn",
"United_States"
],
[
"Franklin,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Franklin,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Gallatin,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Gallatin,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Germantown,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Germantown,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Goodlettsville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Goodlettsville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Great_Smoky_Mountains_National_Park",
"isLocatedIn",
"Tennessee"
],
[
"Great_Smoky_Mountains_National_Park",
"isLocatedIn",
"United_States"
],
[
"Greeneville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Greeneville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Harriman,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Harriman,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Henderson,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Henderson,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Hendersonville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Hendersonville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Humboldt,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Humboldt,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Jackson,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Jackson,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"James_K._Polk",
"isPoliticianOf",
"Tennessee"
],
[
"James_K._Polk",
"isPoliticianOf",
"United_States"
],
[
"Jamestown,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Jamestown,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Jasper,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Jasper,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Jefferson_City,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Jefferson_City,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Johnson_City,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Johnson_City,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Jonesborough,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Jonesborough,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"King_University",
"isLocatedIn",
"Tennessee"
],
[
"King_University",
"isLocatedIn",
"United_States"
],
[
"Kingsport,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Kingsport,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Kingston,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Kingston,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Knoxville",
"isLocatedIn",
"Tennessee"
],
[
"Knoxville",
"isLocatedIn",
"United_States"
],
[
"Knoxville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Knoxville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Lamar_Alexander",
"isCitizenOf",
"United_States"
],
[
"Lamar_Alexander",
"isPoliticianOf",
"Tennessee"
],
[
"Lamar_Alexander",
"isPoliticianOf",
"United_States"
],
[
"Lamar_Alexander",
"livesIn",
"United_States"
],
[
"Lawrenceburg,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Lawrenceburg,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Lebanon,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Lebanon,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Lee_University",
"isLocatedIn",
"Tennessee"
],
[
"Lee_University",
"isLocatedIn",
"United_States"
],
[
"Lewisburg,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Lewisburg,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Lexington,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Lexington,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Lincoln_Memorial_University",
"isLocatedIn",
"Tennessee"
],
[
"Lincoln_Memorial_University",
"isLocatedIn",
"United_States"
],
[
"Lipscomb_University",
"isLocatedIn",
"Tennessee"
],
[
"Lipscomb_University",
"isLocatedIn",
"United_States"
],
[
"Manchester,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Manchester,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Martin,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Martin,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Maryville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Maryville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Maryville_College",
"isLocatedIn",
"Tennessee"
],
[
"Maryville_College",
"isLocatedIn",
"United_States"
],
[
"McKenzie,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"McKenzie,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"McMinnville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"McMinnville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Memphis,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Memphis,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Middle_Tennessee_State_University",
"isLocatedIn",
"Tennessee"
],
[
"Middle_Tennessee_State_University",
"isLocatedIn",
"United_States"
],
[
"Milligan_College",
"isLocatedIn",
"Tennessee"
],
[
"Milligan_College",
"isLocatedIn",
"United_States"
],
[
"Millington,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Millington,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Mississippi_River",
"isLocatedIn",
"Tennessee"
],
[
"Mississippi_River",
"isLocatedIn",
"United_States"
],
[
"Morristown,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Morristown,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Mount_Juliet,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Mount_Juliet,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Murfreesboro,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Murfreesboro,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Nashville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Nashville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Newport,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Newport,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Oak_Ridge,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Oak_Ridge,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Obion_County,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Paris,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Paris,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Pigeon_Forge,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Pigeon_Forge,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Pine_Mountain_(Appalachian_Mountains)",
"isLocatedIn",
"Tennessee"
],
[
"Pine_Mountain_(Appalachian_Mountains)",
"isLocatedIn",
"United_States"
],
[
"Pulaski,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Pulaski,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Rhodes_College",
"isLocatedIn",
"Tennessee"
],
[
"Rhodes_College",
"isLocatedIn",
"United_States"
],
[
"Rio_Rita_(1942_film)",
"isLocatedIn",
"United_States"
],
[
"Ripley,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Ripley,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Rogersville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Rogersville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Savannah,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Savannah,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Scripps_Networks_Interactive",
"isLocatedIn",
"Tennessee"
],
[
"Scripps_Networks_Interactive",
"isLocatedIn",
"United_States"
],
[
"Sevierville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Sevierville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Sewanee,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Sewanee,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Shelbyville,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Shelbyville,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Smyrna,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Smyrna,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Sparta,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Sparta,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Spring_Hill,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Spring_Hill,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Tennessee",
"hasCapital",
"Memphis,_Tennessee"
],
[
"Tennessee",
"hasCapital",
"Nashville,_Tennessee"
],
[
"Tennessee",
"isLocatedIn",
"Confederate_States_of_America"
],
[
"Tennessee",
"isLocatedIn",
"United_States"
],
[
"Tennessee_Technological_University",
"isLocatedIn",
"Tennessee"
],
[
"Tennessee_Technological_University",
"isLocatedIn",
"United_States"
],
[
"Trenton,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Trenton,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Tullahoma,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Tullahoma,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"Tusculum_College",
"isLocatedIn",
"Tennessee"
],
[
"Tusculum_College",
"isLocatedIn",
"United_States"
],
[
"Union_City,_Tennessee",
"isLocatedIn",
"Obion_County,_Tennessee"
],
[
"Union_City,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Union_City,_Tennessee",
"isLocatedIn",
"United_States"
],
[
"United_States",
"participatedIn",
"Battle_of_Fort_Donelson"
],
[
"United_States",
"participatedIn",
"Battle_of_Island_Number_Ten"
],
[
"United_States",
"participatedIn",
"Battle_of_Nashville"
],
[
"University_of_Memphis",
"isLocatedIn",
"Tennessee"
],
[
"University_of_Memphis",
"isLocatedIn",
"United_States"
],
[
"University_of_Tennessee_at_Chattanooga",
"isLocatedIn",
"Tennessee"
],
[
"University_of_Tennessee_at_Chattanooga",
"isLocatedIn",
"United_States"
],
[
"University_of_Tennessee_at_Martin",
"isLocatedIn",
"Tennessee"
],
[
"University_of_Tennessee_at_Martin",
"isLocatedIn",
"United_States"
],
[
"Vanderbilt_University",
"isLocatedIn",
"Tennessee"
],
[
"Vanderbilt_University",
"isLocatedIn",
"United_States"
],
[
"Winchester,_Tennessee",
"isLocatedIn",
"Tennessee"
],
[
"Winchester,_Tennessee",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
27367, Tao_Ruspoli
28721, Thabang_Molefe
118104, male
src, edge_attr, dst
27367, hasGender, 118104
28721, hasGender, 118104
Question: In what context are Tao_Ruspoli and Thabang_Molefe connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Tao_Ruspoli",
"Thabang_Molefe"
],
"valid_edges": [
[
"Tao_Ruspoli",
"hasGender",
"male"
],
[
"Thabang_Molefe",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
110310, 2waytraffic
115463, Amsterdam
38542, Asheville,_North_Carolina
99715, Collier_Young
69778, Dirk_Jan_Struik
46503, Glencore
113832, Hans_Kramers
114823, Hilversum
16547, Ida_Lupino
21446, Jan_L._A._van_de_Snepscheut
6621, Joan_Fontaine
55775, Nebahat_Albayrak
97313, Netherlands
34433, Outrage_(1950_film)
48199, Peter_van_de_Kamp
70732, Piet_Hein_Donner
36526, Pim_Fortuyn
54923, Rem_Koolhaas
7392, Rotterdam
82724, Ruud_Lubbers
41283, Santa_Monica,_California
29157, United_States
73926, University_of_Groningen
30635, VU_University_Amsterdam
80384, female
src, edge_attr, dst
110310, isLocatedIn, 114823
110310, isLocatedIn, 97313
115463, isLocatedIn, 97313
38542, isLocatedIn, 29157
99715, created, 34433
99715, diedIn, 41283
99715, isMarriedTo, 16547
99715, isMarriedTo, 6621
99715, wasBornIn, 38542
69778, isCitizenOf, 97313
69778, livesIn, 97313
69778, wasBornIn, 7392
46503, isLocatedIn, 97313
46503, isLocatedIn, 7392
113832, isCitizenOf, 97313
113832, wasBornIn, 7392
114823, isLocatedIn, 97313
16547, created, 34433
16547, directed, 34433
16547, hasGender, 80384
16547, isMarriedTo, 99715
21446, isCitizenOf, 97313
21446, worksAt, 73926
6621, hasGender, 80384
6621, isMarriedTo, 99715
55775, isCitizenOf, 97313
55775, livesIn, 97313
55775, livesIn, 7392
97313, dealsWith, 29157
97313, hasCapital, 115463
34433, isLocatedIn, 29157
48199, graduatedFrom, 73926
48199, isCitizenOf, 97313
48199, livesIn, 97313
70732, graduatedFrom, 30635
70732, isCitizenOf, 97313
70732, livesIn, 97313
36526, diedIn, 114823
36526, graduatedFrom, 73926
36526, graduatedFrom, 30635
36526, isCitizenOf, 97313
36526, livesIn, 7392
36526, wasBornIn, 114823
54923, isCitizenOf, 97313
54923, wasBornIn, 7392
7392, isLocatedIn, 97313
82724, isCitizenOf, 97313
82724, isPoliticianOf, 97313
82724, livesIn, 97313
82724, livesIn, 7392
82724, wasBornIn, 7392
41283, isLocatedIn, 29157
73926, isLocatedIn, 97313
30635, isLocatedIn, 115463
30635, isLocatedIn, 97313
Question: For what reason are Collier_Young and Pim_Fortuyn associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Collier_Young",
"Pim_Fortuyn"
],
"valid_edges": [
[
"2waytraffic",
"isLocatedIn",
"Hilversum"
],
[
"2waytraffic",
"isLocatedIn",
"Netherlands"
],
[
"Amsterdam",
"isLocatedIn",
"Netherlands"
],
[
"Asheville,_North_Carolina",
"isLocatedIn",
"United_States"
],
[
"Collier_Young",
"created",
"Outrage_(1950_film)"
],
[
"Collier_Young",
"diedIn",
"Santa_Monica,_California"
],
[
"Collier_Young",
"isMarriedTo",
"Ida_Lupino"
],
[
"Collier_Young",
"isMarriedTo",
"Joan_Fontaine"
],
[
"Collier_Young",
"wasBornIn",
"Asheville,_North_Carolina"
],
[
"Dirk_Jan_Struik",
"isCitizenOf",
"Netherlands"
],
[
"Dirk_Jan_Struik",
"livesIn",
"Netherlands"
],
[
"Dirk_Jan_Struik",
"wasBornIn",
"Rotterdam"
],
[
"Glencore",
"isLocatedIn",
"Netherlands"
],
[
"Glencore",
"isLocatedIn",
"Rotterdam"
],
[
"Hans_Kramers",
"isCitizenOf",
"Netherlands"
],
[
"Hans_Kramers",
"wasBornIn",
"Rotterdam"
],
[
"Hilversum",
"isLocatedIn",
"Netherlands"
],
[
"Ida_Lupino",
"created",
"Outrage_(1950_film)"
],
[
"Ida_Lupino",
"directed",
"Outrage_(1950_film)"
],
[
"Ida_Lupino",
"hasGender",
"female"
],
[
"Ida_Lupino",
"isMarriedTo",
"Collier_Young"
],
[
"Jan_L._A._van_de_Snepscheut",
"isCitizenOf",
"Netherlands"
],
[
"Jan_L._A._van_de_Snepscheut",
"worksAt",
"University_of_Groningen"
],
[
"Joan_Fontaine",
"hasGender",
"female"
],
[
"Joan_Fontaine",
"isMarriedTo",
"Collier_Young"
],
[
"Nebahat_Albayrak",
"isCitizenOf",
"Netherlands"
],
[
"Nebahat_Albayrak",
"livesIn",
"Netherlands"
],
[
"Nebahat_Albayrak",
"livesIn",
"Rotterdam"
],
[
"Netherlands",
"dealsWith",
"United_States"
],
[
"Netherlands",
"hasCapital",
"Amsterdam"
],
[
"Outrage_(1950_film)",
"isLocatedIn",
"United_States"
],
[
"Peter_van_de_Kamp",
"graduatedFrom",
"University_of_Groningen"
],
[
"Peter_van_de_Kamp",
"isCitizenOf",
"Netherlands"
],
[
"Peter_van_de_Kamp",
"livesIn",
"Netherlands"
],
[
"Piet_Hein_Donner",
"graduatedFrom",
"VU_University_Amsterdam"
],
[
"Piet_Hein_Donner",
"isCitizenOf",
"Netherlands"
],
[
"Piet_Hein_Donner",
"livesIn",
"Netherlands"
],
[
"Pim_Fortuyn",
"diedIn",
"Hilversum"
],
[
"Pim_Fortuyn",
"graduatedFrom",
"University_of_Groningen"
],
[
"Pim_Fortuyn",
"graduatedFrom",
"VU_University_Amsterdam"
],
[
"Pim_Fortuyn",
"isCitizenOf",
"Netherlands"
],
[
"Pim_Fortuyn",
"livesIn",
"Rotterdam"
],
[
"Pim_Fortuyn",
"wasBornIn",
"Hilversum"
],
[
"Rem_Koolhaas",
"isCitizenOf",
"Netherlands"
],
[
"Rem_Koolhaas",
"wasBornIn",
"Rotterdam"
],
[
"Rotterdam",
"isLocatedIn",
"Netherlands"
],
[
"Ruud_Lubbers",
"isCitizenOf",
"Netherlands"
],
[
"Ruud_Lubbers",
"isPoliticianOf",
"Netherlands"
],
[
"Ruud_Lubbers",
"livesIn",
"Netherlands"
],
[
"Ruud_Lubbers",
"livesIn",
"Rotterdam"
],
[
"Ruud_Lubbers",
"wasBornIn",
"Rotterdam"
],
[
"Santa_Monica,_California",
"isLocatedIn",
"United_States"
],
[
"University_of_Groningen",
"isLocatedIn",
"Netherlands"
],
[
"VU_University_Amsterdam",
"isLocatedIn",
"Amsterdam"
],
[
"VU_University_Amsterdam",
"isLocatedIn",
"Netherlands"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
99022, A.E.K._Athens_F.C.
94399, A.S._Varese_1910
17045, Gilberto_Pogliano
71482, Júlio_César_da_Silva_e_Souza
96803, Stefano_Sorrentino
src, edge_attr, dst
17045, isAffiliatedTo, 94399
17045, playsFor, 94399
71482, isAffiliatedTo, 99022
96803, isAffiliatedTo, 99022
96803, isAffiliatedTo, 94399
96803, playsFor, 94399
Question: How are Gilberto_Pogliano and Júlio_César_da_Silva_e_Souza related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Gilberto_Pogliano",
"Júlio_César_da_Silva_e_Souza"
],
"valid_edges": [
[
"Gilberto_Pogliano",
"isAffiliatedTo",
"A.S._Varese_1910"
],
[
"Gilberto_Pogliano",
"playsFor",
"A.S._Varese_1910"
],
[
"Júlio_César_da_Silva_e_Souza",
"isAffiliatedTo",
"A.E.K._Athens_F.C."
],
[
"Stefano_Sorrentino",
"isAffiliatedTo",
"A.E.K._Athens_F.C."
],
[
"Stefano_Sorrentino",
"isAffiliatedTo",
"A.S._Varese_1910"
],
[
"Stefano_Sorrentino",
"playsFor",
"A.S._Varese_1910"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
63722, Binghamton_Senators
13910, Dan_Cloutier
52554, Drummond_Regional_County_Municipality
43333, Guelph_Storm
64657, Illinois
90063, Martin_St._Pierre
42624, Mont-Laurier
22286, Montreal_Canadiens
30340, Quebec
106407, Rockford_IceHogs
15, Saint_Lawrence_River
src, edge_attr, dst
13910, isAffiliatedTo, 63722
13910, isAffiliatedTo, 43333
13910, isAffiliatedTo, 106407
13910, wasBornIn, 42624
52554, isLocatedIn, 30340
90063, isAffiliatedTo, 63722
90063, isAffiliatedTo, 43333
90063, isAffiliatedTo, 22286
90063, isAffiliatedTo, 106407
42624, isLocatedIn, 30340
22286, isLocatedIn, 30340
106407, isLocatedIn, 64657
15, isLocatedIn, 64657
15, isLocatedIn, 30340
Question: In what context are Drummond_Regional_County_Municipality and Rockford_IceHogs connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Drummond_Regional_County_Municipality",
"Rockford_IceHogs"
],
"valid_edges": [
[
"Dan_Cloutier",
"isAffiliatedTo",
"Binghamton_Senators"
],
[
"Dan_Cloutier",
"isAffiliatedTo",
"Guelph_Storm"
],
[
"Dan_Cloutier",
"isAffiliatedTo",
"Rockford_IceHogs"
],
[
"Dan_Cloutier",
"wasBornIn",
"Mont-Laurier"
],
[
"Drummond_Regional_County_Municipality",
"isLocatedIn",
"Quebec"
],
[
"Martin_St._Pierre",
"isAffiliatedTo",
"Binghamton_Senators"
],
[
"Martin_St._Pierre",
"isAffiliatedTo",
"Guelph_Storm"
],
[
"Martin_St._Pierre",
"isAffiliatedTo",
"Montreal_Canadiens"
],
[
"Martin_St._Pierre",
"isAffiliatedTo",
"Rockford_IceHogs"
],
[
"Mont-Laurier",
"isLocatedIn",
"Quebec"
],
[
"Montreal_Canadiens",
"isLocatedIn",
"Quebec"
],
[
"Rockford_IceHogs",
"isLocatedIn",
"Illinois"
],
[
"Saint_Lawrence_River",
"isLocatedIn",
"Illinois"
],
[
"Saint_Lawrence_River",
"isLocatedIn",
"Quebec"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
33907, Belfast
42907, Bert_Manderson
15073, Billy_McCandless
113861, Billy_Simpson
33159, Brenham,_Texas
13888, College_Station,_Texas
59190, Confederate_States_of_America
109276, Dallas
107132, Darren_Fitzgerald
87827, Hans_Bethe
8361, Houston
107766, Jan-Åke_Gustafsson
99970, John_B._Goodenough
102758, John_McClelland_(footballer_born_1955)
51900, Paul_McKnight
35485, Rangers_F.C.
74860, Settling_Accounts
73493, Texas
122454, Trinigy
100654, United_Kingdom
29157, United_States
src, edge_attr, dst
33907, isLocatedIn, 100654
42907, isAffiliatedTo, 35485
42907, playsFor, 35485
42907, wasBornIn, 33907
15073, isAffiliatedTo, 35485
15073, playsFor, 35485
15073, wasBornIn, 33907
113861, isAffiliatedTo, 35485
113861, playsFor, 35485
113861, wasBornIn, 33907
33159, isLocatedIn, 73493
33159, isLocatedIn, 29157
13888, isLocatedIn, 73493
13888, isLocatedIn, 29157
59190, isLocatedIn, 29157
109276, isLocatedIn, 73493
109276, isLocatedIn, 29157
107132, isAffiliatedTo, 35485
107132, playsFor, 35485
107132, wasBornIn, 33907
87827, livesIn, 29157
87827, playsFor, 35485
8361, isLocatedIn, 73493
8361, isLocatedIn, 29157
107766, livesIn, 73493
107766, livesIn, 29157
99970, livesIn, 73493
99970, livesIn, 29157
102758, isAffiliatedTo, 35485
102758, playsFor, 35485
102758, wasBornIn, 33907
51900, isAffiliatedTo, 35485
51900, playsFor, 35485
51900, wasBornIn, 33907
73493, hasCapital, 8361
73493, isLocatedIn, 59190
73493, isLocatedIn, 29157
73493, participatedIn, 74860
122454, isLocatedIn, 73493
122454, isLocatedIn, 29157
100654, dealsWith, 29157
29157, participatedIn, 74860
Question: For what reason are Brenham,_Texas and Paul_McKnight associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Brenham,_Texas",
"Paul_McKnight"
],
"valid_edges": [
[
"Belfast",
"isLocatedIn",
"United_Kingdom"
],
[
"Bert_Manderson",
"isAffiliatedTo",
"Rangers_F.C."
],
[
"Bert_Manderson",
"playsFor",
"Rangers_F.C."
],
[
"Bert_Manderson",
"wasBornIn",
"Belfast"
],
[
"Billy_McCandless",
"isAffiliatedTo",
"Rangers_F.C."
],
[
"Billy_McCandless",
"playsFor",
"Rangers_F.C."
],
[
"Billy_McCandless",
"wasBornIn",
"Belfast"
],
[
"Billy_Simpson",
"isAffiliatedTo",
"Rangers_F.C."
],
[
"Billy_Simpson",
"playsFor",
"Rangers_F.C."
],
[
"Billy_Simpson",
"wasBornIn",
"Belfast"
],
[
"Brenham,_Texas",
"isLocatedIn",
"Texas"
],
[
"Brenham,_Texas",
"isLocatedIn",
"United_States"
],
[
"College_Station,_Texas",
"isLocatedIn",
"Texas"
],
[
"College_Station,_Texas",
"isLocatedIn",
"United_States"
],
[
"Confederate_States_of_America",
"isLocatedIn",
"United_States"
],
[
"Dallas",
"isLocatedIn",
"Texas"
],
[
"Dallas",
"isLocatedIn",
"United_States"
],
[
"Darren_Fitzgerald",
"isAffiliatedTo",
"Rangers_F.C."
],
[
"Darren_Fitzgerald",
"playsFor",
"Rangers_F.C."
],
[
"Darren_Fitzgerald",
"wasBornIn",
"Belfast"
],
[
"Hans_Bethe",
"livesIn",
"United_States"
],
[
"Hans_Bethe",
"playsFor",
"Rangers_F.C."
],
[
"Houston",
"isLocatedIn",
"Texas"
],
[
"Houston",
"isLocatedIn",
"United_States"
],
[
"Jan-Åke_Gustafsson",
"livesIn",
"Texas"
],
[
"Jan-Åke_Gustafsson",
"livesIn",
"United_States"
],
[
"John_B._Goodenough",
"livesIn",
"Texas"
],
[
"John_B._Goodenough",
"livesIn",
"United_States"
],
[
"John_McClelland_(footballer_born_1955)",
"isAffiliatedTo",
"Rangers_F.C."
],
[
"John_McClelland_(footballer_born_1955)",
"playsFor",
"Rangers_F.C."
],
[
"John_McClelland_(footballer_born_1955)",
"wasBornIn",
"Belfast"
],
[
"Paul_McKnight",
"isAffiliatedTo",
"Rangers_F.C."
],
[
"Paul_McKnight",
"playsFor",
"Rangers_F.C."
],
[
"Paul_McKnight",
"wasBornIn",
"Belfast"
],
[
"Texas",
"hasCapital",
"Houston"
],
[
"Texas",
"isLocatedIn",
"Confederate_States_of_America"
],
[
"Texas",
"isLocatedIn",
"United_States"
],
[
"Texas",
"participatedIn",
"Settling_Accounts"
],
[
"Trinigy",
"isLocatedIn",
"Texas"
],
[
"Trinigy",
"isLocatedIn",
"United_States"
],
[
"United_Kingdom",
"dealsWith",
"United_States"
],
[
"United_States",
"participatedIn",
"Settling_Accounts"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
75042, Abu_al-Abbas_Ahmad_ibn_Muhammad
53236, Adalbert_Korponai
70096, Adel_Amrouche
30055, Adrian_Neaga
1102, Aleksandar_Trišović
79648, Aleksandr_Averyanov_(footballer,_born_1969)
111818, Alexei_Savinov
9468, Anatoliy_Tymoshchuk
48536, Andriy_Donets'
28297, Andriy_Kikot
110101, Andriy_Konyushenko
10702, Anton_Kravchenko
72535, Artem_Butenin
95997, Artem_Kychak
83970, Bohdan_Shershun
60818, Boris_Cebotari
31000, Branislav_Krunić
19206, Constantin_Schumacher
122493, Cornel_Buta
48422, Dalibor_Stevanović
66633, Danijel_Subotić
22835, Dino_Drpić
101082, Dmitry_Alexandrovich_Smirnov
92010, Dmytro_Semochko
6552, Dmytro_Topchiyev
18642, Dmytro_Yeremenko
19240, Dušan_Savić_(footballer_born_1985)
49859, Eddy_Lord_Dombraye
33877, Eduard_Mor
113551, Eric_Bicfalvi
101095, FC_Karpaty_Lviv
36025, FC_Volyn_Lutsk
70368, Ihor_Malysh
8777, Imad_ad-Din_Zengi
89932, Issa_Ndoye
57822, Iulian_Arhire
13390, Jahangir_Hasanzade
35044, Julian_Mitchell
37056, Lyubomyr_Halchuk
1394, Maicon_Pereira_de_Oliveira
57737, Maksym_Lisovyi
54309, Maksym_Startsev
116681, Marko_Dević
20180, Michael_Chidi_Alozie
35135, Miodrag_Džudović
25484, Mykhaylo_Forkash
41287, Myron_Markevych
25013, Myroslav_Stupar
73078, Nana_Falemi
83013, Oleg_Hromtov
83404, Oleh_Fedorchuk
121403, Oleh_Herasymyuk
30128, Oleh_Luzhnyi
10862, Oleh_Mazurenko
58743, Oleh_Shandruk
81572, Oleksandr_Agarin
45045, Oleksandr_Bilozerskyi
45483, Oleksandr_Chyzhevskyi
95367, Oleksandr_Holokolosov_(footballer_born_1976)
119800, Oleksandr_Pyschur
39139, Oleksandr_Radchenko
24400, Oleksandr_Romanchuk
62700, Oleksandr_Shevelyukhin
85934, Oleksiy_Dovhyi
121558, Oleksiy_Kurylov
112051, Papa_Gueye
2935, Park_Chung-hee
116979, Pavlo_Rybkovskyi
48720, Petar_Zanev
103842, Radosław_Cierzniak
105921, Roman_Kots
20546, Roman_Laba
71599, Roman_Maksymyuk
57556, Roman_Zherzh
49245, Samson_Godwin
91038, Schumacher_(footballer)
76813, Semen_Altman
9330, Serhiy_Kovalenko
81937, Serhiy_Kovalets
113123, Serhiy_Puchkov
51489, Serhiy_Snytko
45237, Seweryn_Gancarczyk
45792, Silviu_Izvoranu
87348, Sorin_Paraschiv
105539, Stevan_Račić
53670, Taavi_Rähn
119301, Taras_Chopik
63062, Taras_Kabanov
83867, Taras_Mykhalyk
19297, Tarlan_Ahmadov
83903, Ukraine_national_under-19_football_team
2214, Vadym_Panas
89090, Vadym_Rybalchenko
60717, Valentin_Iliev
31448, Vanče_Šikov
122505, Vasyl_Sachko
57088, Viktor_Melnyk
27285, Vital_Lanko
71268, Vitaliy_Hoshkoderya
661, Vitaliy_Polyanskyi
17895, Vitaliy_Postranskyi
55790, Vitaliy_Rozgon
44974, Vladyslav_Vashchuk
27904, Volodymyr_Arzhanov
51244, Volodymyr_Lysenko
86407, Volodymyr_Zhuravchak
2949, Vsevolod_Romanenko
73770, Vyacheslav_Shevchuk
20465, Yaroslav_Svorak
111704, Yuri_Petrov
87274, Yuriy_Benyo
62993, Yuriy_Shturko
72024, Zdravko_Šaraba
118104, male
12376, Éric_Matoukou
src, edge_attr, dst
75042, hasGender, 118104
75042, playsFor, 36025
53236, hasGender, 118104
53236, isAffiliatedTo, 36025
53236, playsFor, 36025
70096, hasGender, 118104
70096, isAffiliatedTo, 36025
30055, hasGender, 118104
30055, isAffiliatedTo, 36025
30055, playsFor, 36025
1102, hasGender, 118104
1102, isAffiliatedTo, 36025
1102, playsFor, 36025
79648, hasGender, 118104
79648, playsFor, 101095
79648, playsFor, 36025
111818, hasGender, 118104
111818, isAffiliatedTo, 36025
111818, playsFor, 36025
9468, hasGender, 118104
9468, isAffiliatedTo, 36025
9468, playsFor, 36025
48536, hasGender, 118104
48536, isAffiliatedTo, 101095
48536, isAffiliatedTo, 36025
48536, playsFor, 101095
48536, playsFor, 36025
28297, isAffiliatedTo, 101095
28297, isAffiliatedTo, 36025
28297, playsFor, 101095
28297, playsFor, 36025
110101, hasGender, 118104
110101, isAffiliatedTo, 36025
110101, playsFor, 36025
10702, isAffiliatedTo, 36025
10702, isAffiliatedTo, 83903
10702, playsFor, 36025
10702, playsFor, 83903
72535, hasGender, 118104
72535, playsFor, 36025
95997, hasGender, 118104
95997, playsFor, 36025
83970, hasGender, 118104
83970, isAffiliatedTo, 36025
83970, playsFor, 36025
60818, hasGender, 118104
60818, isAffiliatedTo, 36025
60818, playsFor, 36025
31000, hasGender, 118104
31000, isAffiliatedTo, 36025
31000, playsFor, 36025
19206, hasGender, 118104
19206, isAffiliatedTo, 36025
19206, playsFor, 36025
122493, hasGender, 118104
122493, isAffiliatedTo, 36025
122493, playsFor, 36025
48422, hasGender, 118104
48422, isAffiliatedTo, 36025
48422, playsFor, 36025
66633, hasGender, 118104
66633, isAffiliatedTo, 36025
66633, playsFor, 36025
22835, hasGender, 118104
22835, isAffiliatedTo, 36025
22835, playsFor, 36025
101082, hasGender, 118104
101082, isAffiliatedTo, 36025
101082, playsFor, 36025
92010, hasGender, 118104
92010, isAffiliatedTo, 101095
92010, isAffiliatedTo, 36025
92010, playsFor, 101095
92010, playsFor, 36025
6552, hasGender, 118104
6552, playsFor, 101095
6552, playsFor, 36025
18642, playsFor, 36025
18642, playsFor, 83903
19240, hasGender, 118104
19240, isAffiliatedTo, 36025
19240, playsFor, 36025
49859, hasGender, 118104
49859, playsFor, 36025
33877, hasGender, 118104
33877, playsFor, 36025
113551, hasGender, 118104
113551, isAffiliatedTo, 36025
113551, playsFor, 36025
70368, hasGender, 118104
70368, playsFor, 36025
8777, hasGender, 118104
8777, playsFor, 101095
8777, playsFor, 36025
8777, playsFor, 83903
89932, hasGender, 118104
89932, isAffiliatedTo, 36025
89932, playsFor, 36025
57822, hasGender, 118104
57822, playsFor, 36025
13390, hasGender, 118104
13390, isAffiliatedTo, 36025
13390, playsFor, 36025
35044, hasGender, 118104
37056, hasGender, 118104
37056, isAffiliatedTo, 36025
37056, playsFor, 36025
1394, hasGender, 118104
1394, playsFor, 36025
57737, hasGender, 118104
57737, playsFor, 36025
54309, hasGender, 118104
54309, isAffiliatedTo, 36025
54309, playsFor, 36025
116681, hasGender, 118104
116681, isAffiliatedTo, 36025
116681, playsFor, 36025
20180, hasGender, 118104
20180, isAffiliatedTo, 36025
20180, playsFor, 36025
35135, hasGender, 118104
35135, isAffiliatedTo, 36025
35135, playsFor, 36025
25484, hasGender, 118104
25484, isAffiliatedTo, 36025
25484, playsFor, 36025
41287, hasGender, 118104
41287, isAffiliatedTo, 36025
41287, playsFor, 36025
25013, hasGender, 118104
25013, isAffiliatedTo, 36025
25013, playsFor, 36025
73078, hasGender, 118104
73078, isAffiliatedTo, 36025
73078, playsFor, 36025
83013, hasGender, 118104
83013, playsFor, 36025
83404, hasGender, 118104
83404, playsFor, 36025
121403, hasGender, 118104
121403, isAffiliatedTo, 36025
121403, playsFor, 36025
30128, hasGender, 118104
30128, isAffiliatedTo, 36025
30128, playsFor, 36025
10862, hasGender, 118104
10862, isAffiliatedTo, 36025
10862, playsFor, 36025
58743, hasGender, 118104
58743, isAffiliatedTo, 36025
58743, playsFor, 36025
81572, hasGender, 118104
81572, playsFor, 36025
45045, hasGender, 118104
45045, playsFor, 36025
45483, hasGender, 118104
45483, isAffiliatedTo, 101095
45483, isAffiliatedTo, 36025
45483, playsFor, 101095
45483, playsFor, 36025
95367, hasGender, 118104
95367, playsFor, 36025
119800, hasGender, 118104
119800, playsFor, 36025
39139, hasGender, 118104
39139, isAffiliatedTo, 36025
39139, playsFor, 36025
24400, hasGender, 118104
24400, isAffiliatedTo, 36025
24400, playsFor, 36025
62700, hasGender, 118104
62700, isAffiliatedTo, 36025
62700, playsFor, 36025
85934, hasGender, 118104
85934, playsFor, 36025
121558, hasGender, 118104
121558, isAffiliatedTo, 36025
121558, isAffiliatedTo, 83903
121558, playsFor, 36025
112051, hasGender, 118104
112051, isAffiliatedTo, 36025
112051, playsFor, 36025
2935, hasGender, 118104
2935, playsFor, 36025
116979, hasGender, 118104
116979, playsFor, 36025
48720, hasGender, 118104
48720, isAffiliatedTo, 36025
48720, playsFor, 36025
103842, hasGender, 118104
103842, isAffiliatedTo, 101095
103842, isAffiliatedTo, 36025
103842, playsFor, 101095
103842, playsFor, 36025
105921, hasGender, 118104
105921, isAffiliatedTo, 36025
105921, playsFor, 36025
20546, hasGender, 118104
20546, playsFor, 101095
20546, playsFor, 36025
71599, hasGender, 118104
71599, isAffiliatedTo, 36025
71599, playsFor, 36025
57556, hasGender, 118104
57556, isAffiliatedTo, 36025
57556, playsFor, 36025
49245, hasGender, 118104
49245, isAffiliatedTo, 101095
49245, isAffiliatedTo, 36025
49245, playsFor, 101095
49245, playsFor, 36025
91038, hasGender, 118104
91038, isAffiliatedTo, 36025
91038, playsFor, 36025
76813, hasGender, 118104
76813, isAffiliatedTo, 36025
76813, playsFor, 36025
9330, hasGender, 118104
9330, isAffiliatedTo, 36025
9330, playsFor, 36025
81937, hasGender, 118104
81937, isAffiliatedTo, 101095
81937, isAffiliatedTo, 36025
81937, playsFor, 101095
81937, playsFor, 36025
113123, hasGender, 118104
113123, isAffiliatedTo, 36025
113123, playsFor, 36025
51489, hasGender, 118104
51489, isAffiliatedTo, 36025
51489, playsFor, 36025
45237, hasGender, 118104
45237, isAffiliatedTo, 36025
45237, playsFor, 36025
45792, hasGender, 118104
45792, isAffiliatedTo, 36025
45792, playsFor, 36025
87348, hasGender, 118104
87348, isAffiliatedTo, 36025
87348, playsFor, 36025
105539, hasGender, 118104
105539, playsFor, 36025
53670, hasGender, 118104
53670, isAffiliatedTo, 36025
53670, playsFor, 36025
119301, isAffiliatedTo, 101095
119301, isAffiliatedTo, 36025
119301, playsFor, 101095
119301, playsFor, 36025
63062, hasGender, 118104
63062, isAffiliatedTo, 101095
63062, isAffiliatedTo, 36025
63062, playsFor, 101095
63062, playsFor, 36025
83867, hasGender, 118104
83867, isAffiliatedTo, 36025
19297, hasGender, 118104
19297, isAffiliatedTo, 36025
19297, playsFor, 36025
2214, isAffiliatedTo, 101095
2214, isAffiliatedTo, 36025
2214, playsFor, 101095
2214, playsFor, 36025
89090, hasGender, 118104
89090, isAffiliatedTo, 36025
89090, playsFor, 36025
60717, hasGender, 118104
60717, isAffiliatedTo, 36025
60717, playsFor, 36025
31448, hasGender, 118104
31448, isAffiliatedTo, 36025
31448, playsFor, 36025
122505, hasGender, 118104
122505, isAffiliatedTo, 36025
122505, playsFor, 36025
57088, hasGender, 118104
57088, isAffiliatedTo, 36025
57088, playsFor, 36025
27285, hasGender, 118104
27285, isAffiliatedTo, 36025
27285, playsFor, 36025
71268, hasGender, 118104
71268, playsFor, 36025
71268, playsFor, 83903
661, hasGender, 118104
661, isAffiliatedTo, 36025
661, playsFor, 36025
17895, hasGender, 118104
17895, isAffiliatedTo, 36025
17895, playsFor, 36025
55790, hasGender, 118104
55790, isAffiliatedTo, 36025
55790, playsFor, 36025
44974, hasGender, 118104
44974, isAffiliatedTo, 36025
44974, playsFor, 36025
27904, hasGender, 118104
27904, isAffiliatedTo, 36025
27904, playsFor, 36025
51244, hasGender, 118104
51244, isAffiliatedTo, 36025
51244, isAffiliatedTo, 83903
51244, playsFor, 36025
51244, playsFor, 83903
86407, hasGender, 118104
86407, playsFor, 101095
86407, playsFor, 36025
2949, isAffiliatedTo, 101095
2949, isAffiliatedTo, 36025
2949, playsFor, 101095
2949, playsFor, 36025
73770, hasGender, 118104
73770, isAffiliatedTo, 36025
73770, playsFor, 36025
20465, hasGender, 118104
20465, isAffiliatedTo, 101095
20465, isAffiliatedTo, 36025
20465, isAffiliatedTo, 83903
20465, playsFor, 101095
20465, playsFor, 36025
20465, playsFor, 83903
111704, hasGender, 118104
111704, isAffiliatedTo, 36025
111704, playsFor, 36025
87274, hasGender, 118104
87274, isAffiliatedTo, 101095
87274, isAffiliatedTo, 36025
87274, playsFor, 101095
87274, playsFor, 36025
62993, hasGender, 118104
62993, playsFor, 36025
72024, hasGender, 118104
72024, isAffiliatedTo, 36025
72024, playsFor, 36025
12376, hasGender, 118104
12376, isAffiliatedTo, 36025
12376, playsFor, 36025
Question: In what context are FC_Volyn_Lutsk and Julian_Mitchell connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"FC_Volyn_Lutsk",
"Julian_Mitchell"
],
"valid_edges": [
[
"Abu_al-Abbas_Ahmad_ibn_Muhammad",
"hasGender",
"male"
],
[
"Abu_al-Abbas_Ahmad_ibn_Muhammad",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Adalbert_Korponai",
"hasGender",
"male"
],
[
"Adalbert_Korponai",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Adalbert_Korponai",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Adel_Amrouche",
"hasGender",
"male"
],
[
"Adel_Amrouche",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Adrian_Neaga",
"hasGender",
"male"
],
[
"Adrian_Neaga",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Adrian_Neaga",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Aleksandar_Trišović",
"hasGender",
"male"
],
[
"Aleksandar_Trišović",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Aleksandar_Trišović",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Aleksandr_Averyanov_(footballer,_born_1969)",
"hasGender",
"male"
],
[
"Aleksandr_Averyanov_(footballer,_born_1969)",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Aleksandr_Averyanov_(footballer,_born_1969)",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Alexei_Savinov",
"hasGender",
"male"
],
[
"Alexei_Savinov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Alexei_Savinov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Anatoliy_Tymoshchuk",
"hasGender",
"male"
],
[
"Anatoliy_Tymoshchuk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Anatoliy_Tymoshchuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Andriy_Donets'",
"hasGender",
"male"
],
[
"Andriy_Donets'",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Andriy_Donets'",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Andriy_Donets'",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Andriy_Donets'",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Andriy_Kikot",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Andriy_Kikot",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Andriy_Kikot",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Andriy_Kikot",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Andriy_Konyushenko",
"hasGender",
"male"
],
[
"Andriy_Konyushenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Andriy_Konyushenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Anton_Kravchenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Anton_Kravchenko",
"isAffiliatedTo",
"Ukraine_national_under-19_football_team"
],
[
"Anton_Kravchenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Anton_Kravchenko",
"playsFor",
"Ukraine_national_under-19_football_team"
],
[
"Artem_Butenin",
"hasGender",
"male"
],
[
"Artem_Butenin",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Artem_Kychak",
"hasGender",
"male"
],
[
"Artem_Kychak",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Bohdan_Shershun",
"hasGender",
"male"
],
[
"Bohdan_Shershun",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Bohdan_Shershun",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Boris_Cebotari",
"hasGender",
"male"
],
[
"Boris_Cebotari",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Boris_Cebotari",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Branislav_Krunić",
"hasGender",
"male"
],
[
"Branislav_Krunić",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Branislav_Krunić",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Constantin_Schumacher",
"hasGender",
"male"
],
[
"Constantin_Schumacher",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Constantin_Schumacher",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Cornel_Buta",
"hasGender",
"male"
],
[
"Cornel_Buta",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Cornel_Buta",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Dalibor_Stevanović",
"hasGender",
"male"
],
[
"Dalibor_Stevanović",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Dalibor_Stevanović",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Danijel_Subotić",
"hasGender",
"male"
],
[
"Danijel_Subotić",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Danijel_Subotić",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Dino_Drpić",
"hasGender",
"male"
],
[
"Dino_Drpić",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Dino_Drpić",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Dmitry_Alexandrovich_Smirnov",
"hasGender",
"male"
],
[
"Dmitry_Alexandrovich_Smirnov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Dmitry_Alexandrovich_Smirnov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Dmytro_Semochko",
"hasGender",
"male"
],
[
"Dmytro_Semochko",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Dmytro_Semochko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Dmytro_Semochko",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Dmytro_Semochko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Dmytro_Topchiyev",
"hasGender",
"male"
],
[
"Dmytro_Topchiyev",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Dmytro_Topchiyev",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Dmytro_Yeremenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Dmytro_Yeremenko",
"playsFor",
"Ukraine_national_under-19_football_team"
],
[
"Dušan_Savić_(footballer_born_1985)",
"hasGender",
"male"
],
[
"Dušan_Savić_(footballer_born_1985)",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Dušan_Savić_(footballer_born_1985)",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Eddy_Lord_Dombraye",
"hasGender",
"male"
],
[
"Eddy_Lord_Dombraye",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Eduard_Mor",
"hasGender",
"male"
],
[
"Eduard_Mor",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Eric_Bicfalvi",
"hasGender",
"male"
],
[
"Eric_Bicfalvi",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Eric_Bicfalvi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Ihor_Malysh",
"hasGender",
"male"
],
[
"Ihor_Malysh",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Imad_ad-Din_Zengi",
"hasGender",
"male"
],
[
"Imad_ad-Din_Zengi",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Imad_ad-Din_Zengi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Imad_ad-Din_Zengi",
"playsFor",
"Ukraine_national_under-19_football_team"
],
[
"Issa_Ndoye",
"hasGender",
"male"
],
[
"Issa_Ndoye",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Issa_Ndoye",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Iulian_Arhire",
"hasGender",
"male"
],
[
"Iulian_Arhire",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Jahangir_Hasanzade",
"hasGender",
"male"
],
[
"Jahangir_Hasanzade",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Jahangir_Hasanzade",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Julian_Mitchell",
"hasGender",
"male"
],
[
"Lyubomyr_Halchuk",
"hasGender",
"male"
],
[
"Lyubomyr_Halchuk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Lyubomyr_Halchuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Maicon_Pereira_de_Oliveira",
"hasGender",
"male"
],
[
"Maicon_Pereira_de_Oliveira",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Maksym_Lisovyi",
"hasGender",
"male"
],
[
"Maksym_Lisovyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Maksym_Startsev",
"hasGender",
"male"
],
[
"Maksym_Startsev",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Maksym_Startsev",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Marko_Dević",
"hasGender",
"male"
],
[
"Marko_Dević",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Marko_Dević",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Michael_Chidi_Alozie",
"hasGender",
"male"
],
[
"Michael_Chidi_Alozie",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Michael_Chidi_Alozie",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Miodrag_Džudović",
"hasGender",
"male"
],
[
"Miodrag_Džudović",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Miodrag_Džudović",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Mykhaylo_Forkash",
"hasGender",
"male"
],
[
"Mykhaylo_Forkash",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Mykhaylo_Forkash",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Myron_Markevych",
"hasGender",
"male"
],
[
"Myron_Markevych",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Myron_Markevych",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Myroslav_Stupar",
"hasGender",
"male"
],
[
"Myroslav_Stupar",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Myroslav_Stupar",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Nana_Falemi",
"hasGender",
"male"
],
[
"Nana_Falemi",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Nana_Falemi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleg_Hromtov",
"hasGender",
"male"
],
[
"Oleg_Hromtov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleh_Fedorchuk",
"hasGender",
"male"
],
[
"Oleh_Fedorchuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleh_Herasymyuk",
"hasGender",
"male"
],
[
"Oleh_Herasymyuk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleh_Herasymyuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleh_Luzhnyi",
"hasGender",
"male"
],
[
"Oleh_Luzhnyi",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleh_Luzhnyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleh_Mazurenko",
"hasGender",
"male"
],
[
"Oleh_Mazurenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleh_Mazurenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleh_Shandruk",
"hasGender",
"male"
],
[
"Oleh_Shandruk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleh_Shandruk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Agarin",
"hasGender",
"male"
],
[
"Oleksandr_Agarin",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Bilozerskyi",
"hasGender",
"male"
],
[
"Oleksandr_Bilozerskyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Chyzhevskyi",
"hasGender",
"male"
],
[
"Oleksandr_Chyzhevskyi",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Oleksandr_Chyzhevskyi",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Chyzhevskyi",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Oleksandr_Chyzhevskyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Holokolosov_(footballer_born_1976)",
"hasGender",
"male"
],
[
"Oleksandr_Holokolosov_(footballer_born_1976)",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Pyschur",
"hasGender",
"male"
],
[
"Oleksandr_Pyschur",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Radchenko",
"hasGender",
"male"
],
[
"Oleksandr_Radchenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Radchenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Romanchuk",
"hasGender",
"male"
],
[
"Oleksandr_Romanchuk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Romanchuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Shevelyukhin",
"hasGender",
"male"
],
[
"Oleksandr_Shevelyukhin",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleksandr_Shevelyukhin",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksiy_Dovhyi",
"hasGender",
"male"
],
[
"Oleksiy_Dovhyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Oleksiy_Kurylov",
"hasGender",
"male"
],
[
"Oleksiy_Kurylov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Oleksiy_Kurylov",
"isAffiliatedTo",
"Ukraine_national_under-19_football_team"
],
[
"Oleksiy_Kurylov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Papa_Gueye",
"hasGender",
"male"
],
[
"Papa_Gueye",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Papa_Gueye",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Park_Chung-hee",
"hasGender",
"male"
],
[
"Park_Chung-hee",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Pavlo_Rybkovskyi",
"hasGender",
"male"
],
[
"Pavlo_Rybkovskyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Petar_Zanev",
"hasGender",
"male"
],
[
"Petar_Zanev",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Petar_Zanev",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Radosław_Cierzniak",
"hasGender",
"male"
],
[
"Radosław_Cierzniak",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Radosław_Cierzniak",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Radosław_Cierzniak",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Radosław_Cierzniak",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Roman_Kots",
"hasGender",
"male"
],
[
"Roman_Kots",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Roman_Kots",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Roman_Laba",
"hasGender",
"male"
],
[
"Roman_Laba",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Roman_Laba",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Roman_Maksymyuk",
"hasGender",
"male"
],
[
"Roman_Maksymyuk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Roman_Maksymyuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Roman_Zherzh",
"hasGender",
"male"
],
[
"Roman_Zherzh",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Roman_Zherzh",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Samson_Godwin",
"hasGender",
"male"
],
[
"Samson_Godwin",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Samson_Godwin",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Samson_Godwin",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Samson_Godwin",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Schumacher_(footballer)",
"hasGender",
"male"
],
[
"Schumacher_(footballer)",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Schumacher_(footballer)",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Semen_Altman",
"hasGender",
"male"
],
[
"Semen_Altman",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Semen_Altman",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Kovalenko",
"hasGender",
"male"
],
[
"Serhiy_Kovalenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Kovalenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Kovalets",
"hasGender",
"male"
],
[
"Serhiy_Kovalets",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Serhiy_Kovalets",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Kovalets",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Serhiy_Kovalets",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Puchkov",
"hasGender",
"male"
],
[
"Serhiy_Puchkov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Puchkov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Snytko",
"hasGender",
"male"
],
[
"Serhiy_Snytko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Serhiy_Snytko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Seweryn_Gancarczyk",
"hasGender",
"male"
],
[
"Seweryn_Gancarczyk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Seweryn_Gancarczyk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Silviu_Izvoranu",
"hasGender",
"male"
],
[
"Silviu_Izvoranu",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Silviu_Izvoranu",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Sorin_Paraschiv",
"hasGender",
"male"
],
[
"Sorin_Paraschiv",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Sorin_Paraschiv",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Stevan_Račić",
"hasGender",
"male"
],
[
"Stevan_Račić",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Taavi_Rähn",
"hasGender",
"male"
],
[
"Taavi_Rähn",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Taavi_Rähn",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Taras_Chopik",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Taras_Chopik",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Taras_Chopik",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Taras_Chopik",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Taras_Kabanov",
"hasGender",
"male"
],
[
"Taras_Kabanov",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Taras_Kabanov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Taras_Kabanov",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Taras_Kabanov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Taras_Mykhalyk",
"hasGender",
"male"
],
[
"Taras_Mykhalyk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Tarlan_Ahmadov",
"hasGender",
"male"
],
[
"Tarlan_Ahmadov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Tarlan_Ahmadov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vadym_Panas",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Vadym_Panas",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vadym_Panas",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Vadym_Panas",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vadym_Rybalchenko",
"hasGender",
"male"
],
[
"Vadym_Rybalchenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vadym_Rybalchenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Valentin_Iliev",
"hasGender",
"male"
],
[
"Valentin_Iliev",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Valentin_Iliev",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vanče_Šikov",
"hasGender",
"male"
],
[
"Vanče_Šikov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vanče_Šikov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vasyl_Sachko",
"hasGender",
"male"
],
[
"Vasyl_Sachko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vasyl_Sachko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Viktor_Melnyk",
"hasGender",
"male"
],
[
"Viktor_Melnyk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Viktor_Melnyk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vital_Lanko",
"hasGender",
"male"
],
[
"Vital_Lanko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vital_Lanko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vitaliy_Hoshkoderya",
"hasGender",
"male"
],
[
"Vitaliy_Hoshkoderya",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vitaliy_Hoshkoderya",
"playsFor",
"Ukraine_national_under-19_football_team"
],
[
"Vitaliy_Polyanskyi",
"hasGender",
"male"
],
[
"Vitaliy_Polyanskyi",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vitaliy_Polyanskyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vitaliy_Postranskyi",
"hasGender",
"male"
],
[
"Vitaliy_Postranskyi",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vitaliy_Postranskyi",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vitaliy_Rozgon",
"hasGender",
"male"
],
[
"Vitaliy_Rozgon",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vitaliy_Rozgon",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vladyslav_Vashchuk",
"hasGender",
"male"
],
[
"Vladyslav_Vashchuk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vladyslav_Vashchuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Volodymyr_Arzhanov",
"hasGender",
"male"
],
[
"Volodymyr_Arzhanov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Volodymyr_Arzhanov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Volodymyr_Lysenko",
"hasGender",
"male"
],
[
"Volodymyr_Lysenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Volodymyr_Lysenko",
"isAffiliatedTo",
"Ukraine_national_under-19_football_team"
],
[
"Volodymyr_Lysenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Volodymyr_Lysenko",
"playsFor",
"Ukraine_national_under-19_football_team"
],
[
"Volodymyr_Zhuravchak",
"hasGender",
"male"
],
[
"Volodymyr_Zhuravchak",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Volodymyr_Zhuravchak",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vsevolod_Romanenko",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Vsevolod_Romanenko",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vsevolod_Romanenko",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Vsevolod_Romanenko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Vyacheslav_Shevchuk",
"hasGender",
"male"
],
[
"Vyacheslav_Shevchuk",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Vyacheslav_Shevchuk",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Yaroslav_Svorak",
"hasGender",
"male"
],
[
"Yaroslav_Svorak",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Yaroslav_Svorak",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Yaroslav_Svorak",
"isAffiliatedTo",
"Ukraine_national_under-19_football_team"
],
[
"Yaroslav_Svorak",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Yaroslav_Svorak",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Yaroslav_Svorak",
"playsFor",
"Ukraine_national_under-19_football_team"
],
[
"Yuri_Petrov",
"hasGender",
"male"
],
[
"Yuri_Petrov",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Yuri_Petrov",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Yuriy_Benyo",
"hasGender",
"male"
],
[
"Yuriy_Benyo",
"isAffiliatedTo",
"FC_Karpaty_Lviv"
],
[
"Yuriy_Benyo",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Yuriy_Benyo",
"playsFor",
"FC_Karpaty_Lviv"
],
[
"Yuriy_Benyo",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Yuriy_Shturko",
"hasGender",
"male"
],
[
"Yuriy_Shturko",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Zdravko_Šaraba",
"hasGender",
"male"
],
[
"Zdravko_Šaraba",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Zdravko_Šaraba",
"playsFor",
"FC_Volyn_Lutsk"
],
[
"Éric_Matoukou",
"hasGender",
"male"
],
[
"Éric_Matoukou",
"isAffiliatedTo",
"FC_Volyn_Lutsk"
],
[
"Éric_Matoukou",
"playsFor",
"FC_Volyn_Lutsk"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
13576, José_Saramago
43168, Norbert_Meier
118104, male
src, edge_attr, dst
13576, hasGender, 118104
43168, hasGender, 118104
Question: How are José_Saramago and Norbert_Meier related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"José_Saramago",
"Norbert_Meier"
],
"valid_edges": [
[
"José_Saramago",
"hasGender",
"male"
],
[
"Norbert_Meier",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
47794, Gmina_Kietrz
119066, Grodków
7452, Holy_Roman_Empire
42867, Opole_Voivodeship
35705, Siege_of_Acre_(1189–91)
src, edge_attr, dst
47794, isLocatedIn, 42867
119066, isLocatedIn, 7452
119066, isLocatedIn, 42867
7452, participatedIn, 35705
Question: How are Gmina_Kietrz and Siege_of_Acre_(1189–91) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Gmina_Kietrz",
"Siege_of_Acre_(1189–91)"
],
"valid_edges": [
[
"Gmina_Kietrz",
"isLocatedIn",
"Opole_Voivodeship"
],
[
"Grodków",
"isLocatedIn",
"Holy_Roman_Empire"
],
[
"Grodków",
"isLocatedIn",
"Opole_Voivodeship"
],
[
"Holy_Roman_Empire",
"participatedIn",
"Siege_of_Acre_(1189–91)"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
75012, Arthur_F._Burns
107918, Baltimore
50172, Cordwainer_Smith
88984, Dan_Patrick_(politician)
28623, Daniel_Nathans
27570, Diner_(film)
94691, Edward_Witten
79811, Ellen_Silbergeld
3361, Johns_Hopkins_School_of_Medicine
93550, Johns_Hopkins_University
65213, Karl_Shapiro
55898, Loyola_University_Maryland
56416, Martin_Rodbell
74474, Maryland
87803, Morgan_State_University
80185, Nettie_Stevens
59791, Nick_Katz
29477, Pimlico_Race_Course
80450, Randy_Pausch
23, Spiro_Agnew
33736, Steve_Watson_(American_football)
80476, The_Wire
25294, The_World_of_Henry_Orient
79642, Thomas_Wolfe
29157, United_States
2893, University_of_Baltimore
26762, University_of_Baltimore_School_of_Law
96525, University_of_Maryland,_Baltimore
78688, University_of_Maryland,_Baltimore_County
src, edge_attr, dst
75012, diedIn, 107918
75012, isCitizenOf, 29157
107918, isLocatedIn, 74474
107918, isLocatedIn, 29157
50172, diedIn, 107918
50172, isCitizenOf, 29157
88984, isCitizenOf, 29157
88984, wasBornIn, 107918
28623, diedIn, 107918
28623, isCitizenOf, 29157
27570, isLocatedIn, 107918
27570, isLocatedIn, 29157
94691, isCitizenOf, 29157
94691, wasBornIn, 107918
79811, isCitizenOf, 29157
79811, livesIn, 107918
3361, isLocatedIn, 107918
3361, isLocatedIn, 29157
93550, isLocatedIn, 107918
93550, isLocatedIn, 29157
65213, isCitizenOf, 29157
65213, wasBornIn, 107918
55898, isLocatedIn, 107918
55898, isLocatedIn, 29157
56416, isCitizenOf, 29157
56416, livesIn, 29157
56416, wasBornIn, 107918
74474, hasCapital, 107918
74474, isLocatedIn, 29157
87803, isLocatedIn, 107918
87803, isLocatedIn, 29157
80185, diedIn, 107918
80185, isCitizenOf, 29157
59791, isCitizenOf, 29157
59791, livesIn, 29157
59791, wasBornIn, 107918
29477, isLocatedIn, 107918
29477, isLocatedIn, 29157
80450, isCitizenOf, 29157
80450, wasBornIn, 107918
23, isPoliticianOf, 29157
23, livesIn, 107918
23, wasBornIn, 107918
33736, wasBornIn, 107918
80476, isLocatedIn, 107918
80476, isLocatedIn, 29157
25294, isLocatedIn, 29157
79642, diedIn, 107918
79642, isCitizenOf, 29157
2893, isLocatedIn, 107918
2893, isLocatedIn, 29157
26762, isLocatedIn, 107918
26762, isLocatedIn, 29157
96525, isLocatedIn, 107918
96525, isLocatedIn, 29157
78688, isLocatedIn, 107918
78688, isLocatedIn, 29157
Question: In what context are Steve_Watson_(American_football) and The_World_of_Henry_Orient connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Steve_Watson_(American_football)",
"The_World_of_Henry_Orient"
],
"valid_edges": [
[
"Arthur_F._Burns",
"diedIn",
"Baltimore"
],
[
"Arthur_F._Burns",
"isCitizenOf",
"United_States"
],
[
"Baltimore",
"isLocatedIn",
"Maryland"
],
[
"Baltimore",
"isLocatedIn",
"United_States"
],
[
"Cordwainer_Smith",
"diedIn",
"Baltimore"
],
[
"Cordwainer_Smith",
"isCitizenOf",
"United_States"
],
[
"Dan_Patrick_(politician)",
"isCitizenOf",
"United_States"
],
[
"Dan_Patrick_(politician)",
"wasBornIn",
"Baltimore"
],
[
"Daniel_Nathans",
"diedIn",
"Baltimore"
],
[
"Daniel_Nathans",
"isCitizenOf",
"United_States"
],
[
"Diner_(film)",
"isLocatedIn",
"Baltimore"
],
[
"Diner_(film)",
"isLocatedIn",
"United_States"
],
[
"Edward_Witten",
"isCitizenOf",
"United_States"
],
[
"Edward_Witten",
"wasBornIn",
"Baltimore"
],
[
"Ellen_Silbergeld",
"isCitizenOf",
"United_States"
],
[
"Ellen_Silbergeld",
"livesIn",
"Baltimore"
],
[
"Johns_Hopkins_School_of_Medicine",
"isLocatedIn",
"Baltimore"
],
[
"Johns_Hopkins_School_of_Medicine",
"isLocatedIn",
"United_States"
],
[
"Johns_Hopkins_University",
"isLocatedIn",
"Baltimore"
],
[
"Johns_Hopkins_University",
"isLocatedIn",
"United_States"
],
[
"Karl_Shapiro",
"isCitizenOf",
"United_States"
],
[
"Karl_Shapiro",
"wasBornIn",
"Baltimore"
],
[
"Loyola_University_Maryland",
"isLocatedIn",
"Baltimore"
],
[
"Loyola_University_Maryland",
"isLocatedIn",
"United_States"
],
[
"Martin_Rodbell",
"isCitizenOf",
"United_States"
],
[
"Martin_Rodbell",
"livesIn",
"United_States"
],
[
"Martin_Rodbell",
"wasBornIn",
"Baltimore"
],
[
"Maryland",
"hasCapital",
"Baltimore"
],
[
"Maryland",
"isLocatedIn",
"United_States"
],
[
"Morgan_State_University",
"isLocatedIn",
"Baltimore"
],
[
"Morgan_State_University",
"isLocatedIn",
"United_States"
],
[
"Nettie_Stevens",
"diedIn",
"Baltimore"
],
[
"Nettie_Stevens",
"isCitizenOf",
"United_States"
],
[
"Nick_Katz",
"isCitizenOf",
"United_States"
],
[
"Nick_Katz",
"livesIn",
"United_States"
],
[
"Nick_Katz",
"wasBornIn",
"Baltimore"
],
[
"Pimlico_Race_Course",
"isLocatedIn",
"Baltimore"
],
[
"Pimlico_Race_Course",
"isLocatedIn",
"United_States"
],
[
"Randy_Pausch",
"isCitizenOf",
"United_States"
],
[
"Randy_Pausch",
"wasBornIn",
"Baltimore"
],
[
"Spiro_Agnew",
"isPoliticianOf",
"United_States"
],
[
"Spiro_Agnew",
"livesIn",
"Baltimore"
],
[
"Spiro_Agnew",
"wasBornIn",
"Baltimore"
],
[
"Steve_Watson_(American_football)",
"wasBornIn",
"Baltimore"
],
[
"The_Wire",
"isLocatedIn",
"Baltimore"
],
[
"The_Wire",
"isLocatedIn",
"United_States"
],
[
"The_World_of_Henry_Orient",
"isLocatedIn",
"United_States"
],
[
"Thomas_Wolfe",
"diedIn",
"Baltimore"
],
[
"Thomas_Wolfe",
"isCitizenOf",
"United_States"
],
[
"University_of_Baltimore",
"isLocatedIn",
"Baltimore"
],
[
"University_of_Baltimore",
"isLocatedIn",
"United_States"
],
[
"University_of_Baltimore_School_of_Law",
"isLocatedIn",
"Baltimore"
],
[
"University_of_Baltimore_School_of_Law",
"isLocatedIn",
"United_States"
],
[
"University_of_Maryland,_Baltimore",
"isLocatedIn",
"Baltimore"
],
[
"University_of_Maryland,_Baltimore",
"isLocatedIn",
"United_States"
],
[
"University_of_Maryland,_Baltimore_County",
"isLocatedIn",
"Baltimore"
],
[
"University_of_Maryland,_Baltimore_County",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
108774, Chan_Man_Fai
121890, Chung_Kin_Hei
80537, Hong_Kong_08
12181, Li_Hang_Wui
101323, Yee_Hope_FC
src, edge_attr, dst
108774, isAffiliatedTo, 80537
108774, playsFor, 80537
121890, isAffiliatedTo, 101323
121890, playsFor, 101323
12181, isAffiliatedTo, 80537
12181, isAffiliatedTo, 101323
12181, playsFor, 80537
12181, playsFor, 101323
Question: In what context are Chan_Man_Fai and Chung_Kin_Hei connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Chan_Man_Fai",
"Chung_Kin_Hei"
],
"valid_edges": [
[
"Chan_Man_Fai",
"isAffiliatedTo",
"Hong_Kong_08"
],
[
"Chan_Man_Fai",
"playsFor",
"Hong_Kong_08"
],
[
"Chung_Kin_Hei",
"isAffiliatedTo",
"Yee_Hope_FC"
],
[
"Chung_Kin_Hei",
"playsFor",
"Yee_Hope_FC"
],
[
"Li_Hang_Wui",
"isAffiliatedTo",
"Hong_Kong_08"
],
[
"Li_Hang_Wui",
"isAffiliatedTo",
"Yee_Hope_FC"
],
[
"Li_Hang_Wui",
"playsFor",
"Hong_Kong_08"
],
[
"Li_Hang_Wui",
"playsFor",
"Yee_Hope_FC"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
6809, Club_Atlético_Independiente
57675, Jonathan_Santana
120008, Ricardo_Pavoni
99691, Uwe_Hain
30409, VfL_Wolfsburg
src, edge_attr, dst
57675, isAffiliatedTo, 6809
57675, isAffiliatedTo, 30409
57675, playsFor, 6809
57675, playsFor, 30409
120008, isAffiliatedTo, 6809
120008, playsFor, 6809
99691, isAffiliatedTo, 30409
99691, playsFor, 30409
Question: In what context are Ricardo_Pavoni and Uwe_Hain connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ricardo_Pavoni",
"Uwe_Hain"
],
"valid_edges": [
[
"Jonathan_Santana",
"isAffiliatedTo",
"Club_Atlético_Independiente"
],
[
"Jonathan_Santana",
"isAffiliatedTo",
"VfL_Wolfsburg"
],
[
"Jonathan_Santana",
"playsFor",
"Club_Atlético_Independiente"
],
[
"Jonathan_Santana",
"playsFor",
"VfL_Wolfsburg"
],
[
"Ricardo_Pavoni",
"isAffiliatedTo",
"Club_Atlético_Independiente"
],
[
"Ricardo_Pavoni",
"playsFor",
"Club_Atlético_Independiente"
],
[
"Uwe_Hain",
"isAffiliatedTo",
"VfL_Wolfsburg"
],
[
"Uwe_Hain",
"playsFor",
"VfL_Wolfsburg"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
114379, Adriano_Padilha_Nascimento
99295, Alexei_Eremenko
104632, Ashoka
18438, Azerbaijan
35559, Bakhtiyar_Musayev
12998, Baku_FC
88144, Dmitriy_Kramarenko
38306, Dmytro_Bezotosnyi
42293, Emin_Quliyev
117889, FC_Saturn_Ramenskoye
86409, Ilgar_Abdurahmanov
52507, Jeyhun_Sultanov
92839, Kamran_Agayev
84671, Khazar_Lankaran_FK
41266, Mahmud_Qurbanov
110006, Osvaldo_José_Martins_Júnior
56357, Radomir_Todorov
108582, Ramazan_Abbasov
109483, Rashad_Abdullayev
50690, Samir_Aliyev
2407, Stevan_Bates
69112, Tromsø_IL
52629, Winston_Parks
460, Zaur_Ramazanov
src, edge_attr, dst
114379, isAffiliatedTo, 12998
114379, isAffiliatedTo, 117889
114379, playsFor, 12998
114379, playsFor, 117889
99295, isAffiliatedTo, 117889
99295, isAffiliatedTo, 69112
99295, playsFor, 117889
99295, playsFor, 69112
104632, playsFor, 12998
104632, playsFor, 84671
35559, playsFor, 12998
35559, playsFor, 84671
12998, owns, 18438
88144, isAffiliatedTo, 12998
88144, isAffiliatedTo, 84671
88144, playsFor, 12998
88144, playsFor, 84671
38306, isAffiliatedTo, 117889
38306, playsFor, 117889
42293, isAffiliatedTo, 12998
42293, isAffiliatedTo, 84671
42293, playsFor, 12998
42293, playsFor, 84671
86409, playsFor, 12998
86409, playsFor, 84671
52507, isAffiliatedTo, 12998
52507, isAffiliatedTo, 84671
52507, playsFor, 12998
52507, playsFor, 84671
92839, isAffiliatedTo, 12998
92839, isAffiliatedTo, 84671
92839, playsFor, 12998
92839, playsFor, 84671
84671, owns, 18438
41266, isAffiliatedTo, 12998
41266, isAffiliatedTo, 84671
41266, playsFor, 12998
41266, playsFor, 84671
110006, isAffiliatedTo, 12998
110006, isAffiliatedTo, 84671
110006, playsFor, 12998
110006, playsFor, 84671
56357, isAffiliatedTo, 12998
56357, isAffiliatedTo, 84671
56357, playsFor, 12998
56357, playsFor, 84671
108582, isAffiliatedTo, 12998
108582, isAffiliatedTo, 84671
108582, playsFor, 12998
108582, playsFor, 84671
109483, isAffiliatedTo, 12998
109483, isAffiliatedTo, 84671
109483, playsFor, 12998
109483, playsFor, 84671
50690, isAffiliatedTo, 12998
50690, isAffiliatedTo, 84671
50690, playsFor, 12998
50690, playsFor, 84671
2407, isAffiliatedTo, 12998
2407, isAffiliatedTo, 84671
2407, isAffiliatedTo, 69112
2407, playsFor, 12998
2407, playsFor, 84671
2407, playsFor, 69112
52629, isAffiliatedTo, 12998
52629, isAffiliatedTo, 117889
52629, isAffiliatedTo, 84671
52629, playsFor, 12998
52629, playsFor, 117889
52629, playsFor, 84671
460, isAffiliatedTo, 12998
460, isAffiliatedTo, 84671
460, playsFor, 12998
460, playsFor, 84671
Question: For what reason are Dmytro_Bezotosnyi and Stevan_Bates associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Dmytro_Bezotosnyi",
"Stevan_Bates"
],
"valid_edges": [
[
"Adriano_Padilha_Nascimento",
"isAffiliatedTo",
"Baku_FC"
],
[
"Adriano_Padilha_Nascimento",
"isAffiliatedTo",
"FC_Saturn_Ramenskoye"
],
[
"Adriano_Padilha_Nascimento",
"playsFor",
"Baku_FC"
],
[
"Adriano_Padilha_Nascimento",
"playsFor",
"FC_Saturn_Ramenskoye"
],
[
"Alexei_Eremenko",
"isAffiliatedTo",
"FC_Saturn_Ramenskoye"
],
[
"Alexei_Eremenko",
"isAffiliatedTo",
"Tromsø_IL"
],
[
"Alexei_Eremenko",
"playsFor",
"FC_Saturn_Ramenskoye"
],
[
"Alexei_Eremenko",
"playsFor",
"Tromsø_IL"
],
[
"Ashoka",
"playsFor",
"Baku_FC"
],
[
"Ashoka",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Bakhtiyar_Musayev",
"playsFor",
"Baku_FC"
],
[
"Bakhtiyar_Musayev",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Baku_FC",
"owns",
"Azerbaijan"
],
[
"Dmitriy_Kramarenko",
"isAffiliatedTo",
"Baku_FC"
],
[
"Dmitriy_Kramarenko",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Dmitriy_Kramarenko",
"playsFor",
"Baku_FC"
],
[
"Dmitriy_Kramarenko",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Dmytro_Bezotosnyi",
"isAffiliatedTo",
"FC_Saturn_Ramenskoye"
],
[
"Dmytro_Bezotosnyi",
"playsFor",
"FC_Saturn_Ramenskoye"
],
[
"Emin_Quliyev",
"isAffiliatedTo",
"Baku_FC"
],
[
"Emin_Quliyev",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Emin_Quliyev",
"playsFor",
"Baku_FC"
],
[
"Emin_Quliyev",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Ilgar_Abdurahmanov",
"playsFor",
"Baku_FC"
],
[
"Ilgar_Abdurahmanov",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Jeyhun_Sultanov",
"isAffiliatedTo",
"Baku_FC"
],
[
"Jeyhun_Sultanov",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Jeyhun_Sultanov",
"playsFor",
"Baku_FC"
],
[
"Jeyhun_Sultanov",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Kamran_Agayev",
"isAffiliatedTo",
"Baku_FC"
],
[
"Kamran_Agayev",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Kamran_Agayev",
"playsFor",
"Baku_FC"
],
[
"Kamran_Agayev",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Khazar_Lankaran_FK",
"owns",
"Azerbaijan"
],
[
"Mahmud_Qurbanov",
"isAffiliatedTo",
"Baku_FC"
],
[
"Mahmud_Qurbanov",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Mahmud_Qurbanov",
"playsFor",
"Baku_FC"
],
[
"Mahmud_Qurbanov",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Osvaldo_José_Martins_Júnior",
"isAffiliatedTo",
"Baku_FC"
],
[
"Osvaldo_José_Martins_Júnior",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Osvaldo_José_Martins_Júnior",
"playsFor",
"Baku_FC"
],
[
"Osvaldo_José_Martins_Júnior",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Radomir_Todorov",
"isAffiliatedTo",
"Baku_FC"
],
[
"Radomir_Todorov",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Radomir_Todorov",
"playsFor",
"Baku_FC"
],
[
"Radomir_Todorov",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Ramazan_Abbasov",
"isAffiliatedTo",
"Baku_FC"
],
[
"Ramazan_Abbasov",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Ramazan_Abbasov",
"playsFor",
"Baku_FC"
],
[
"Ramazan_Abbasov",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Rashad_Abdullayev",
"isAffiliatedTo",
"Baku_FC"
],
[
"Rashad_Abdullayev",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Rashad_Abdullayev",
"playsFor",
"Baku_FC"
],
[
"Rashad_Abdullayev",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Samir_Aliyev",
"isAffiliatedTo",
"Baku_FC"
],
[
"Samir_Aliyev",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Samir_Aliyev",
"playsFor",
"Baku_FC"
],
[
"Samir_Aliyev",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Stevan_Bates",
"isAffiliatedTo",
"Baku_FC"
],
[
"Stevan_Bates",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Stevan_Bates",
"isAffiliatedTo",
"Tromsø_IL"
],
[
"Stevan_Bates",
"playsFor",
"Baku_FC"
],
[
"Stevan_Bates",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Stevan_Bates",
"playsFor",
"Tromsø_IL"
],
[
"Winston_Parks",
"isAffiliatedTo",
"Baku_FC"
],
[
"Winston_Parks",
"isAffiliatedTo",
"FC_Saturn_Ramenskoye"
],
[
"Winston_Parks",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Winston_Parks",
"playsFor",
"Baku_FC"
],
[
"Winston_Parks",
"playsFor",
"FC_Saturn_Ramenskoye"
],
[
"Winston_Parks",
"playsFor",
"Khazar_Lankaran_FK"
],
[
"Zaur_Ramazanov",
"isAffiliatedTo",
"Baku_FC"
],
[
"Zaur_Ramazanov",
"isAffiliatedTo",
"Khazar_Lankaran_FK"
],
[
"Zaur_Ramazanov",
"playsFor",
"Baku_FC"
],
[
"Zaur_Ramazanov",
"playsFor",
"Khazar_Lankaran_FK"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
7261, 50_Cent
30993, Adele
89417, Alanis_Morissette
31944, Amy_Winehouse
84424, Andrew_Lloyd_Webber
43206, Annie_Lennox
88394, Barbra_Streisand
40101, Barry_Gibb
66506, Benjamin_Britten
5676, Beyoncé
118886, Blur_(band)
5082, Bob_Geldof
2149, Bono
83260, Brian_Eno
53615, Brit_Awards
54033, Britney_Spears
6021, Bruce_Springsteen
526, Bryan_Adams
78819, California
48123, Calvin_Harris
3587, Cathy_Dennis
76130, Christina_Aguilera
69048, Cliff_Richard
11431, Coldplay
10886, Colin_Greenwood
40188, Culture_Club
87667, David_A._Stewart
95314, David_Arnold
86837, David_Bowie
31399, Destiny's_Child
108458, Diane_Warren
50087, Dido_(singer)
106539, Duffy_(singer)
114449, Ed_O'Brien
118419, Elton_John
106764, Eminem
56112, Enya
63820, Eric_Clapton
73878, Foo_Fighters
40373, Franz_Ferdinand_(band)
51337, Freddie_Mercury
61939, Fugees
32703, Gabrielle_(singer)
98392, George_Harrison
65280, George_Michael
110842, George_Shearing
31046, Grammy_Award
90607, Green_Day
26099, Gwen_Stefani
14788, Imogen_Heap
43923, Ivor_Novello_Awards
82801, James_Blunt
68950, Jamiroquai
109727, Jay_Kay
66298, John_Barry_(composer)
84807, John_Lennon
76515, John_Williams
45321, Jon_Bon_Jovi
51573, Jonny_Greenwood
36358, Joss_Stone
72268, Justin_Timberlake
97681, K.d._lang
30801, KT_Tunstall
87207, Kaiser_Chiefs
11995, Kanye_West
86038, Kate_Bush
118579, Katy_Perry
64708, Keane_(band)
98717, Kings_of_Leon
102769, Kingsburg,_California
89596, Kiri_Te_Kanawa
98175, Kylie_Minogue
29589, Lady_Gaga
57660, Led_Zeppelin
40856, Lenny_Kravitz
54292, Lily_Allen
104058, Madonna_(entertainer)
117315, Manic_Street_Preachers
112061, Mark_Knopfler
39968, Mark_Ronson
9638, Michael_Jackson
32979, Michael_Kamen
6934, Mick_Jagger
14597, Midge_Ure
45151, Mika_(singer)
81075, Muse_(band)
98534, Nelly_Furtado
48189, New_Order
59267, Nirvana_(band)
28894, Norah_Jones
103962, Norman_Cook
120756, Oasis_(band)
117728, Paul_McCartney
47169, Paul_Simon
82725, Paul_Weller
120977, Peter_Gabriel
7428, Phil_Collins
77212, Pink_(singer)
93505, Plan_B_(musician)
53177, Prince_(musician)
56389, Queen_(band)
21799, Quincy_Jones
23046, R.E.M.
29462, Red_Hot_Chili_Peppers
67501, Rihanna
43412, Robbie_Williams
15738, Robin_Gibb
260, Rod_Stewart
64603, Sade_(band)
94106, Seal_(musician)
122950, Shaggy_(musician)
93580, Shakira
72172, Sheryl_Crow
43063, Simon_Le_Bon
7482, Simon_Rattle
31377, Sinéad_O'Connor
97721, Stephen_Sondheim
69562, Sting_(musician)
93608, Stuart_Price
70800, The_Beatles
122096, The_Black_Keys
51733, The_Darkness_(band)
11968, The_Police
25038, The_Streets
37408, The_White_Stripes
20170, The_Who
106380, Thom_Yorke
115745, Tim_Rice
103981, Tom_Jones_(singer)
84897, Tracy_Chapman
8500, U2
68842, Van_Morrison
14157, Whitney_Houston
52639, Will_Smith
94009, Will_Young
src, edge_attr, dst
7261, hasWonPrize, 53615
7261, hasWonPrize, 31046
30993, hasWonPrize, 53615
30993, hasWonPrize, 31046
30993, hasWonPrize, 43923
89417, hasWonPrize, 53615
89417, hasWonPrize, 31046
89417, livesIn, 78819
31944, hasWonPrize, 53615
31944, hasWonPrize, 31046
31944, hasWonPrize, 43923
84424, hasWonPrize, 31046
84424, hasWonPrize, 43923
43206, hasWonPrize, 53615
43206, hasWonPrize, 31046
43206, hasWonPrize, 43923
88394, hasWonPrize, 53615
88394, hasWonPrize, 31046
40101, hasWonPrize, 31046
40101, hasWonPrize, 43923
66506, hasWonPrize, 53615
66506, hasWonPrize, 31046
5676, hasWonPrize, 53615
5676, hasWonPrize, 43923
118886, hasWonPrize, 53615
118886, hasWonPrize, 43923
5082, hasWonPrize, 53615
5082, hasWonPrize, 43923
2149, hasWonPrize, 31046
2149, hasWonPrize, 43923
83260, hasWonPrize, 53615
83260, hasWonPrize, 31046
54033, hasWonPrize, 31046
54033, hasWonPrize, 43923
54033, livesIn, 78819
6021, hasWonPrize, 53615
6021, hasWonPrize, 31046
526, hasWonPrize, 31046
526, hasWonPrize, 43923
48123, hasWonPrize, 31046
48123, hasWonPrize, 43923
3587, hasWonPrize, 31046
3587, hasWonPrize, 43923
76130, hasWonPrize, 53615
76130, hasWonPrize, 31046
76130, hasWonPrize, 43923
69048, hasWonPrize, 53615
69048, hasWonPrize, 43923
11431, hasWonPrize, 53615
11431, hasWonPrize, 31046
11431, hasWonPrize, 43923
10886, hasWonPrize, 31046
10886, hasWonPrize, 43923
40188, hasWonPrize, 53615
40188, hasWonPrize, 31046
87667, hasWonPrize, 53615
87667, hasWonPrize, 43923
95314, hasWonPrize, 31046
95314, hasWonPrize, 43923
86837, hasWonPrize, 53615
86837, hasWonPrize, 31046
86837, hasWonPrize, 43923
31399, hasWonPrize, 53615
31399, hasWonPrize, 31046
108458, hasWonPrize, 31046
108458, hasWonPrize, 43923
50087, hasWonPrize, 53615
50087, hasWonPrize, 43923
106539, hasWonPrize, 53615
106539, hasWonPrize, 43923
114449, hasWonPrize, 31046
114449, hasWonPrize, 43923
118419, hasWonPrize, 53615
118419, hasWonPrize, 31046
118419, hasWonPrize, 43923
106764, hasWonPrize, 53615
106764, hasWonPrize, 31046
56112, hasWonPrize, 31046
56112, hasWonPrize, 43923
63820, hasWonPrize, 53615
63820, hasWonPrize, 31046
63820, hasWonPrize, 43923
73878, hasWonPrize, 53615
73878, hasWonPrize, 31046
40373, hasWonPrize, 53615
40373, hasWonPrize, 43923
51337, hasWonPrize, 53615
51337, hasWonPrize, 43923
61939, hasWonPrize, 53615
61939, hasWonPrize, 31046
32703, hasWonPrize, 53615
32703, hasWonPrize, 43923
98392, hasWonPrize, 31046
98392, hasWonPrize, 43923
65280, hasWonPrize, 53615
65280, hasWonPrize, 31046
65280, hasWonPrize, 43923
65280, livesIn, 78819
110842, hasWonPrize, 31046
110842, hasWonPrize, 43923
90607, hasWonPrize, 53615
90607, hasWonPrize, 31046
26099, hasWonPrize, 53615
26099, hasWonPrize, 31046
14788, hasWonPrize, 31046
14788, hasWonPrize, 43923
82801, hasWonPrize, 53615
82801, hasWonPrize, 43923
68950, hasWonPrize, 31046
68950, hasWonPrize, 43923
109727, hasWonPrize, 31046
109727, hasWonPrize, 43923
66298, hasWonPrize, 31046
66298, hasWonPrize, 43923
84807, hasWonPrize, 53615
84807, hasWonPrize, 31046
84807, hasWonPrize, 43923
76515, hasWonPrize, 53615
76515, hasWonPrize, 31046
45321, hasWonPrize, 53615
45321, hasWonPrize, 31046
51573, hasWonPrize, 31046
51573, hasWonPrize, 43923
36358, hasWonPrize, 53615
36358, hasWonPrize, 31046
72268, hasWonPrize, 53615
72268, hasWonPrize, 31046
97681, hasWonPrize, 53615
97681, hasWonPrize, 31046
30801, hasWonPrize, 53615
30801, hasWonPrize, 43923
87207, hasWonPrize, 53615
87207, hasWonPrize, 43923
11995, hasWonPrize, 53615
11995, hasWonPrize, 31046
11995, livesIn, 78819
86038, hasWonPrize, 53615
86038, hasWonPrize, 43923
118579, hasWonPrize, 53615
118579, livesIn, 78819
64708, hasWonPrize, 53615
64708, hasWonPrize, 43923
98717, hasWonPrize, 53615
98717, hasWonPrize, 31046
102769, isLocatedIn, 78819
89596, hasWonPrize, 53615
89596, hasWonPrize, 31046
98175, hasWonPrize, 53615
98175, hasWonPrize, 31046
98175, hasWonPrize, 43923
29589, hasWonPrize, 53615
29589, hasWonPrize, 31046
57660, hasWonPrize, 31046
57660, hasWonPrize, 43923
40856, hasWonPrize, 53615
40856, hasWonPrize, 31046
54292, hasWonPrize, 53615
54292, hasWonPrize, 43923
104058, hasWonPrize, 53615
104058, hasWonPrize, 31046
104058, hasWonPrize, 43923
117315, hasWonPrize, 53615
117315, hasWonPrize, 43923
112061, hasWonPrize, 53615
112061, hasWonPrize, 31046
112061, hasWonPrize, 43923
39968, hasWonPrize, 53615
39968, hasWonPrize, 31046
9638, hasWonPrize, 53615
9638, hasWonPrize, 31046
32979, hasWonPrize, 31046
32979, hasWonPrize, 43923
6934, hasWonPrize, 31046
6934, hasWonPrize, 43923
14597, hasWonPrize, 53615
14597, hasWonPrize, 43923
45151, hasWonPrize, 53615
45151, hasWonPrize, 43923
81075, hasWonPrize, 53615
81075, hasWonPrize, 31046
81075, hasWonPrize, 43923
98534, hasWonPrize, 53615
98534, hasWonPrize, 31046
48189, hasWonPrize, 53615
48189, hasWonPrize, 43923
59267, hasWonPrize, 53615
59267, hasWonPrize, 31046
28894, hasWonPrize, 53615
28894, hasWonPrize, 31046
103962, hasWonPrize, 53615
103962, hasWonPrize, 31046
103962, hasWonPrize, 43923
120756, hasWonPrize, 53615
120756, hasWonPrize, 43923
117728, hasWonPrize, 53615
117728, hasWonPrize, 31046
117728, hasWonPrize, 43923
47169, hasWonPrize, 53615
47169, hasWonPrize, 31046
82725, hasWonPrize, 53615
82725, hasWonPrize, 43923
120977, hasWonPrize, 53615
120977, hasWonPrize, 31046
120977, hasWonPrize, 43923
7428, hasWonPrize, 53615
7428, hasWonPrize, 31046
7428, hasWonPrize, 43923
77212, hasWonPrize, 53615
77212, hasWonPrize, 31046
93505, hasWonPrize, 53615
93505, hasWonPrize, 43923
53177, hasWonPrize, 53615
53177, hasWonPrize, 31046
56389, hasWonPrize, 53615
56389, hasWonPrize, 43923
21799, hasWonPrize, 31046
21799, hasWonPrize, 43923
23046, hasWonPrize, 53615
23046, hasWonPrize, 31046
29462, hasWonPrize, 53615
29462, hasWonPrize, 31046
67501, hasWonPrize, 53615
67501, hasWonPrize, 31046
43412, hasWonPrize, 53615
43412, hasWonPrize, 43923
15738, hasWonPrize, 31046
15738, hasWonPrize, 43923
260, hasWonPrize, 53615
260, hasWonPrize, 31046
64603, hasWonPrize, 53615
64603, hasWonPrize, 31046
94106, hasWonPrize, 53615
94106, hasWonPrize, 31046
122950, hasWonPrize, 53615
122950, hasWonPrize, 31046
93580, hasWonPrize, 31046
93580, hasWonPrize, 43923
72172, hasWonPrize, 53615
72172, hasWonPrize, 31046
43063, hasWonPrize, 31046
43063, hasWonPrize, 43923
7482, hasWonPrize, 53615
7482, hasWonPrize, 31046
31377, hasWonPrize, 53615
31377, hasWonPrize, 31046
97721, hasWonPrize, 31046
97721, hasWonPrize, 43923
69562, hasWonPrize, 53615
69562, hasWonPrize, 43923
93608, hasWonPrize, 31046
93608, hasWonPrize, 43923
70800, hasWonPrize, 53615
70800, hasWonPrize, 31046
122096, hasWonPrize, 53615
122096, hasWonPrize, 31046
51733, hasWonPrize, 53615
51733, hasWonPrize, 43923
11968, hasWonPrize, 53615
11968, hasWonPrize, 31046
25038, hasWonPrize, 53615
25038, hasWonPrize, 43923
37408, hasWonPrize, 53615
37408, hasWonPrize, 31046
20170, hasWonPrize, 53615
20170, hasWonPrize, 31046
106380, hasWonPrize, 31046
106380, hasWonPrize, 43923
115745, hasWonPrize, 31046
115745, hasWonPrize, 43923
103981, hasWonPrize, 53615
103981, hasWonPrize, 31046
84897, hasWonPrize, 53615
84897, hasWonPrize, 31046
8500, hasWonPrize, 53615
8500, hasWonPrize, 31046
8500, hasWonPrize, 43923
68842, hasWonPrize, 53615
68842, hasWonPrize, 31046
68842, hasWonPrize, 43923
14157, hasWonPrize, 53615
14157, hasWonPrize, 31046
52639, hasWonPrize, 31046
52639, livesIn, 78819
94009, hasWonPrize, 53615
94009, hasWonPrize, 43923
Question: For what reason are Kingsburg,_California and Muse_(band) associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Kingsburg,_California",
"Muse_(band)"
],
"valid_edges": [
[
"50_Cent",
"hasWonPrize",
"Brit_Awards"
],
[
"50_Cent",
"hasWonPrize",
"Grammy_Award"
],
[
"Adele",
"hasWonPrize",
"Brit_Awards"
],
[
"Adele",
"hasWonPrize",
"Grammy_Award"
],
[
"Adele",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Alanis_Morissette",
"hasWonPrize",
"Brit_Awards"
],
[
"Alanis_Morissette",
"hasWonPrize",
"Grammy_Award"
],
[
"Alanis_Morissette",
"livesIn",
"California"
],
[
"Amy_Winehouse",
"hasWonPrize",
"Brit_Awards"
],
[
"Amy_Winehouse",
"hasWonPrize",
"Grammy_Award"
],
[
"Amy_Winehouse",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Andrew_Lloyd_Webber",
"hasWonPrize",
"Grammy_Award"
],
[
"Andrew_Lloyd_Webber",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Annie_Lennox",
"hasWonPrize",
"Brit_Awards"
],
[
"Annie_Lennox",
"hasWonPrize",
"Grammy_Award"
],
[
"Annie_Lennox",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Barbra_Streisand",
"hasWonPrize",
"Brit_Awards"
],
[
"Barbra_Streisand",
"hasWonPrize",
"Grammy_Award"
],
[
"Barry_Gibb",
"hasWonPrize",
"Grammy_Award"
],
[
"Barry_Gibb",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Benjamin_Britten",
"hasWonPrize",
"Brit_Awards"
],
[
"Benjamin_Britten",
"hasWonPrize",
"Grammy_Award"
],
[
"Beyoncé",
"hasWonPrize",
"Brit_Awards"
],
[
"Beyoncé",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Blur_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Blur_(band)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Bob_Geldof",
"hasWonPrize",
"Brit_Awards"
],
[
"Bob_Geldof",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Bono",
"hasWonPrize",
"Grammy_Award"
],
[
"Bono",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Brian_Eno",
"hasWonPrize",
"Brit_Awards"
],
[
"Brian_Eno",
"hasWonPrize",
"Grammy_Award"
],
[
"Britney_Spears",
"hasWonPrize",
"Grammy_Award"
],
[
"Britney_Spears",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Britney_Spears",
"livesIn",
"California"
],
[
"Bruce_Springsteen",
"hasWonPrize",
"Brit_Awards"
],
[
"Bruce_Springsteen",
"hasWonPrize",
"Grammy_Award"
],
[
"Bryan_Adams",
"hasWonPrize",
"Grammy_Award"
],
[
"Bryan_Adams",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Calvin_Harris",
"hasWonPrize",
"Grammy_Award"
],
[
"Calvin_Harris",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Cathy_Dennis",
"hasWonPrize",
"Grammy_Award"
],
[
"Cathy_Dennis",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Christina_Aguilera",
"hasWonPrize",
"Brit_Awards"
],
[
"Christina_Aguilera",
"hasWonPrize",
"Grammy_Award"
],
[
"Christina_Aguilera",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Cliff_Richard",
"hasWonPrize",
"Brit_Awards"
],
[
"Cliff_Richard",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Coldplay",
"hasWonPrize",
"Brit_Awards"
],
[
"Coldplay",
"hasWonPrize",
"Grammy_Award"
],
[
"Coldplay",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Colin_Greenwood",
"hasWonPrize",
"Grammy_Award"
],
[
"Colin_Greenwood",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Culture_Club",
"hasWonPrize",
"Brit_Awards"
],
[
"Culture_Club",
"hasWonPrize",
"Grammy_Award"
],
[
"David_A._Stewart",
"hasWonPrize",
"Brit_Awards"
],
[
"David_A._Stewart",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"David_Arnold",
"hasWonPrize",
"Grammy_Award"
],
[
"David_Arnold",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"David_Bowie",
"hasWonPrize",
"Brit_Awards"
],
[
"David_Bowie",
"hasWonPrize",
"Grammy_Award"
],
[
"David_Bowie",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Destiny's_Child",
"hasWonPrize",
"Brit_Awards"
],
[
"Destiny's_Child",
"hasWonPrize",
"Grammy_Award"
],
[
"Diane_Warren",
"hasWonPrize",
"Grammy_Award"
],
[
"Diane_Warren",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Dido_(singer)",
"hasWonPrize",
"Brit_Awards"
],
[
"Dido_(singer)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Duffy_(singer)",
"hasWonPrize",
"Brit_Awards"
],
[
"Duffy_(singer)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Ed_O'Brien",
"hasWonPrize",
"Grammy_Award"
],
[
"Ed_O'Brien",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Elton_John",
"hasWonPrize",
"Brit_Awards"
],
[
"Elton_John",
"hasWonPrize",
"Grammy_Award"
],
[
"Elton_John",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Eminem",
"hasWonPrize",
"Brit_Awards"
],
[
"Eminem",
"hasWonPrize",
"Grammy_Award"
],
[
"Enya",
"hasWonPrize",
"Grammy_Award"
],
[
"Enya",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Eric_Clapton",
"hasWonPrize",
"Brit_Awards"
],
[
"Eric_Clapton",
"hasWonPrize",
"Grammy_Award"
],
[
"Eric_Clapton",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Foo_Fighters",
"hasWonPrize",
"Brit_Awards"
],
[
"Foo_Fighters",
"hasWonPrize",
"Grammy_Award"
],
[
"Franz_Ferdinand_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Franz_Ferdinand_(band)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Freddie_Mercury",
"hasWonPrize",
"Brit_Awards"
],
[
"Freddie_Mercury",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Fugees",
"hasWonPrize",
"Brit_Awards"
],
[
"Fugees",
"hasWonPrize",
"Grammy_Award"
],
[
"Gabrielle_(singer)",
"hasWonPrize",
"Brit_Awards"
],
[
"Gabrielle_(singer)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"George_Harrison",
"hasWonPrize",
"Grammy_Award"
],
[
"George_Harrison",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"George_Michael",
"hasWonPrize",
"Brit_Awards"
],
[
"George_Michael",
"hasWonPrize",
"Grammy_Award"
],
[
"George_Michael",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"George_Michael",
"livesIn",
"California"
],
[
"George_Shearing",
"hasWonPrize",
"Grammy_Award"
],
[
"George_Shearing",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Green_Day",
"hasWonPrize",
"Brit_Awards"
],
[
"Green_Day",
"hasWonPrize",
"Grammy_Award"
],
[
"Gwen_Stefani",
"hasWonPrize",
"Brit_Awards"
],
[
"Gwen_Stefani",
"hasWonPrize",
"Grammy_Award"
],
[
"Imogen_Heap",
"hasWonPrize",
"Grammy_Award"
],
[
"Imogen_Heap",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"James_Blunt",
"hasWonPrize",
"Brit_Awards"
],
[
"James_Blunt",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Jamiroquai",
"hasWonPrize",
"Grammy_Award"
],
[
"Jamiroquai",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Jay_Kay",
"hasWonPrize",
"Grammy_Award"
],
[
"Jay_Kay",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"John_Barry_(composer)",
"hasWonPrize",
"Grammy_Award"
],
[
"John_Barry_(composer)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"John_Lennon",
"hasWonPrize",
"Brit_Awards"
],
[
"John_Lennon",
"hasWonPrize",
"Grammy_Award"
],
[
"John_Lennon",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"John_Williams",
"hasWonPrize",
"Brit_Awards"
],
[
"John_Williams",
"hasWonPrize",
"Grammy_Award"
],
[
"Jon_Bon_Jovi",
"hasWonPrize",
"Brit_Awards"
],
[
"Jon_Bon_Jovi",
"hasWonPrize",
"Grammy_Award"
],
[
"Jonny_Greenwood",
"hasWonPrize",
"Grammy_Award"
],
[
"Jonny_Greenwood",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Joss_Stone",
"hasWonPrize",
"Brit_Awards"
],
[
"Joss_Stone",
"hasWonPrize",
"Grammy_Award"
],
[
"Justin_Timberlake",
"hasWonPrize",
"Brit_Awards"
],
[
"Justin_Timberlake",
"hasWonPrize",
"Grammy_Award"
],
[
"K.d._lang",
"hasWonPrize",
"Brit_Awards"
],
[
"K.d._lang",
"hasWonPrize",
"Grammy_Award"
],
[
"KT_Tunstall",
"hasWonPrize",
"Brit_Awards"
],
[
"KT_Tunstall",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Kaiser_Chiefs",
"hasWonPrize",
"Brit_Awards"
],
[
"Kaiser_Chiefs",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Kanye_West",
"hasWonPrize",
"Brit_Awards"
],
[
"Kanye_West",
"hasWonPrize",
"Grammy_Award"
],
[
"Kanye_West",
"livesIn",
"California"
],
[
"Kate_Bush",
"hasWonPrize",
"Brit_Awards"
],
[
"Kate_Bush",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Katy_Perry",
"hasWonPrize",
"Brit_Awards"
],
[
"Katy_Perry",
"livesIn",
"California"
],
[
"Keane_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Keane_(band)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Kings_of_Leon",
"hasWonPrize",
"Brit_Awards"
],
[
"Kings_of_Leon",
"hasWonPrize",
"Grammy_Award"
],
[
"Kingsburg,_California",
"isLocatedIn",
"California"
],
[
"Kiri_Te_Kanawa",
"hasWonPrize",
"Brit_Awards"
],
[
"Kiri_Te_Kanawa",
"hasWonPrize",
"Grammy_Award"
],
[
"Kylie_Minogue",
"hasWonPrize",
"Brit_Awards"
],
[
"Kylie_Minogue",
"hasWonPrize",
"Grammy_Award"
],
[
"Kylie_Minogue",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Lady_Gaga",
"hasWonPrize",
"Brit_Awards"
],
[
"Lady_Gaga",
"hasWonPrize",
"Grammy_Award"
],
[
"Led_Zeppelin",
"hasWonPrize",
"Grammy_Award"
],
[
"Led_Zeppelin",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Lenny_Kravitz",
"hasWonPrize",
"Brit_Awards"
],
[
"Lenny_Kravitz",
"hasWonPrize",
"Grammy_Award"
],
[
"Lily_Allen",
"hasWonPrize",
"Brit_Awards"
],
[
"Lily_Allen",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Madonna_(entertainer)",
"hasWonPrize",
"Brit_Awards"
],
[
"Madonna_(entertainer)",
"hasWonPrize",
"Grammy_Award"
],
[
"Madonna_(entertainer)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Manic_Street_Preachers",
"hasWonPrize",
"Brit_Awards"
],
[
"Manic_Street_Preachers",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Mark_Knopfler",
"hasWonPrize",
"Brit_Awards"
],
[
"Mark_Knopfler",
"hasWonPrize",
"Grammy_Award"
],
[
"Mark_Knopfler",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Mark_Ronson",
"hasWonPrize",
"Brit_Awards"
],
[
"Mark_Ronson",
"hasWonPrize",
"Grammy_Award"
],
[
"Michael_Jackson",
"hasWonPrize",
"Brit_Awards"
],
[
"Michael_Jackson",
"hasWonPrize",
"Grammy_Award"
],
[
"Michael_Kamen",
"hasWonPrize",
"Grammy_Award"
],
[
"Michael_Kamen",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Mick_Jagger",
"hasWonPrize",
"Grammy_Award"
],
[
"Mick_Jagger",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Midge_Ure",
"hasWonPrize",
"Brit_Awards"
],
[
"Midge_Ure",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Mika_(singer)",
"hasWonPrize",
"Brit_Awards"
],
[
"Mika_(singer)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Muse_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Muse_(band)",
"hasWonPrize",
"Grammy_Award"
],
[
"Muse_(band)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Nelly_Furtado",
"hasWonPrize",
"Brit_Awards"
],
[
"Nelly_Furtado",
"hasWonPrize",
"Grammy_Award"
],
[
"New_Order",
"hasWonPrize",
"Brit_Awards"
],
[
"New_Order",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Nirvana_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Nirvana_(band)",
"hasWonPrize",
"Grammy_Award"
],
[
"Norah_Jones",
"hasWonPrize",
"Brit_Awards"
],
[
"Norah_Jones",
"hasWonPrize",
"Grammy_Award"
],
[
"Norman_Cook",
"hasWonPrize",
"Brit_Awards"
],
[
"Norman_Cook",
"hasWonPrize",
"Grammy_Award"
],
[
"Norman_Cook",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Oasis_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Oasis_(band)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Paul_McCartney",
"hasWonPrize",
"Brit_Awards"
],
[
"Paul_McCartney",
"hasWonPrize",
"Grammy_Award"
],
[
"Paul_McCartney",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Paul_Simon",
"hasWonPrize",
"Brit_Awards"
],
[
"Paul_Simon",
"hasWonPrize",
"Grammy_Award"
],
[
"Paul_Weller",
"hasWonPrize",
"Brit_Awards"
],
[
"Paul_Weller",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Peter_Gabriel",
"hasWonPrize",
"Brit_Awards"
],
[
"Peter_Gabriel",
"hasWonPrize",
"Grammy_Award"
],
[
"Peter_Gabriel",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Phil_Collins",
"hasWonPrize",
"Brit_Awards"
],
[
"Phil_Collins",
"hasWonPrize",
"Grammy_Award"
],
[
"Phil_Collins",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Pink_(singer)",
"hasWonPrize",
"Brit_Awards"
],
[
"Pink_(singer)",
"hasWonPrize",
"Grammy_Award"
],
[
"Plan_B_(musician)",
"hasWonPrize",
"Brit_Awards"
],
[
"Plan_B_(musician)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Prince_(musician)",
"hasWonPrize",
"Brit_Awards"
],
[
"Prince_(musician)",
"hasWonPrize",
"Grammy_Award"
],
[
"Queen_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Queen_(band)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Quincy_Jones",
"hasWonPrize",
"Grammy_Award"
],
[
"Quincy_Jones",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"R.E.M.",
"hasWonPrize",
"Brit_Awards"
],
[
"R.E.M.",
"hasWonPrize",
"Grammy_Award"
],
[
"Red_Hot_Chili_Peppers",
"hasWonPrize",
"Brit_Awards"
],
[
"Red_Hot_Chili_Peppers",
"hasWonPrize",
"Grammy_Award"
],
[
"Rihanna",
"hasWonPrize",
"Brit_Awards"
],
[
"Rihanna",
"hasWonPrize",
"Grammy_Award"
],
[
"Robbie_Williams",
"hasWonPrize",
"Brit_Awards"
],
[
"Robbie_Williams",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Robin_Gibb",
"hasWonPrize",
"Grammy_Award"
],
[
"Robin_Gibb",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Rod_Stewart",
"hasWonPrize",
"Brit_Awards"
],
[
"Rod_Stewart",
"hasWonPrize",
"Grammy_Award"
],
[
"Sade_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"Sade_(band)",
"hasWonPrize",
"Grammy_Award"
],
[
"Seal_(musician)",
"hasWonPrize",
"Brit_Awards"
],
[
"Seal_(musician)",
"hasWonPrize",
"Grammy_Award"
],
[
"Shaggy_(musician)",
"hasWonPrize",
"Brit_Awards"
],
[
"Shaggy_(musician)",
"hasWonPrize",
"Grammy_Award"
],
[
"Shakira",
"hasWonPrize",
"Grammy_Award"
],
[
"Shakira",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Sheryl_Crow",
"hasWonPrize",
"Brit_Awards"
],
[
"Sheryl_Crow",
"hasWonPrize",
"Grammy_Award"
],
[
"Simon_Le_Bon",
"hasWonPrize",
"Grammy_Award"
],
[
"Simon_Le_Bon",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Simon_Rattle",
"hasWonPrize",
"Brit_Awards"
],
[
"Simon_Rattle",
"hasWonPrize",
"Grammy_Award"
],
[
"Sinéad_O'Connor",
"hasWonPrize",
"Brit_Awards"
],
[
"Sinéad_O'Connor",
"hasWonPrize",
"Grammy_Award"
],
[
"Stephen_Sondheim",
"hasWonPrize",
"Grammy_Award"
],
[
"Stephen_Sondheim",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Sting_(musician)",
"hasWonPrize",
"Brit_Awards"
],
[
"Sting_(musician)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Stuart_Price",
"hasWonPrize",
"Grammy_Award"
],
[
"Stuart_Price",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"The_Beatles",
"hasWonPrize",
"Brit_Awards"
],
[
"The_Beatles",
"hasWonPrize",
"Grammy_Award"
],
[
"The_Black_Keys",
"hasWonPrize",
"Brit_Awards"
],
[
"The_Black_Keys",
"hasWonPrize",
"Grammy_Award"
],
[
"The_Darkness_(band)",
"hasWonPrize",
"Brit_Awards"
],
[
"The_Darkness_(band)",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"The_Police",
"hasWonPrize",
"Brit_Awards"
],
[
"The_Police",
"hasWonPrize",
"Grammy_Award"
],
[
"The_Streets",
"hasWonPrize",
"Brit_Awards"
],
[
"The_Streets",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"The_White_Stripes",
"hasWonPrize",
"Brit_Awards"
],
[
"The_White_Stripes",
"hasWonPrize",
"Grammy_Award"
],
[
"The_Who",
"hasWonPrize",
"Brit_Awards"
],
[
"The_Who",
"hasWonPrize",
"Grammy_Award"
],
[
"Thom_Yorke",
"hasWonPrize",
"Grammy_Award"
],
[
"Thom_Yorke",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Tim_Rice",
"hasWonPrize",
"Grammy_Award"
],
[
"Tim_Rice",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Tom_Jones_(singer)",
"hasWonPrize",
"Brit_Awards"
],
[
"Tom_Jones_(singer)",
"hasWonPrize",
"Grammy_Award"
],
[
"Tracy_Chapman",
"hasWonPrize",
"Brit_Awards"
],
[
"Tracy_Chapman",
"hasWonPrize",
"Grammy_Award"
],
[
"U2",
"hasWonPrize",
"Brit_Awards"
],
[
"U2",
"hasWonPrize",
"Grammy_Award"
],
[
"U2",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Van_Morrison",
"hasWonPrize",
"Brit_Awards"
],
[
"Van_Morrison",
"hasWonPrize",
"Grammy_Award"
],
[
"Van_Morrison",
"hasWonPrize",
"Ivor_Novello_Awards"
],
[
"Whitney_Houston",
"hasWonPrize",
"Brit_Awards"
],
[
"Whitney_Houston",
"hasWonPrize",
"Grammy_Award"
],
[
"Will_Smith",
"hasWonPrize",
"Grammy_Award"
],
[
"Will_Smith",
"livesIn",
"California"
],
[
"Will_Young",
"hasWonPrize",
"Brit_Awards"
],
[
"Will_Young",
"hasWonPrize",
"Ivor_Novello_Awards"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
90829, Christian_Kulik
55601, FSV_Salmrohr
52339, Gmina_Psary
36359, Silesian_Voivodeship
67914, Zabrze
src, edge_attr, dst
90829, isAffiliatedTo, 55601
90829, playsFor, 55601
90829, wasBornIn, 67914
52339, isLocatedIn, 36359
67914, isLocatedIn, 36359
Question: For what reason are FSV_Salmrohr and Gmina_Psary associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"FSV_Salmrohr",
"Gmina_Psary"
],
"valid_edges": [
[
"Christian_Kulik",
"isAffiliatedTo",
"FSV_Salmrohr"
],
[
"Christian_Kulik",
"playsFor",
"FSV_Salmrohr"
],
[
"Christian_Kulik",
"wasBornIn",
"Zabrze"
],
[
"Gmina_Psary",
"isLocatedIn",
"Silesian_Voivodeship"
],
[
"Zabrze",
"isLocatedIn",
"Silesian_Voivodeship"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
45578, América_de_Cali
114250, Ciampino–G._B._Pastine_International_Airport
15654, Libis_Arenas
7578, Rome
27301, S.S._Lazio
src, edge_attr, dst
114250, isLocatedIn, 7578
15654, isAffiliatedTo, 45578
15654, isAffiliatedTo, 27301
15654, playsFor, 45578
15654, playsFor, 27301
27301, isLocatedIn, 7578
Question: How are América_de_Cali and Ciampino–G._B._Pastine_International_Airport related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"América_de_Cali",
"Ciampino–G._B._Pastine_International_Airport"
],
"valid_edges": [
[
"Ciampino–G._B._Pastine_International_Airport",
"isLocatedIn",
"Rome"
],
[
"Libis_Arenas",
"isAffiliatedTo",
"América_de_Cali"
],
[
"Libis_Arenas",
"isAffiliatedTo",
"S.S._Lazio"
],
[
"Libis_Arenas",
"playsFor",
"América_de_Cali"
],
[
"Libis_Arenas",
"playsFor",
"S.S._Lazio"
],
[
"S.S._Lazio",
"isLocatedIn",
"Rome"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
82679, Chen_Shui-bian
59067, Chiang_Ching-kuo
104947, Chiang_Kai-shek
93786, Chu_Ching-wu
120901, Hank_Marvin
44193, Hsinchu_County
14263, Lee_Teng-hui
22443, Li_Fang-Kuei
79537, Ma_Ying-jeou
65694, Shiing-Shen_Chern
13515, Sho-Chieh_Tsiang
109657, Sun_Yat-sen
39676, Taiwan
52704, Wen-Hsiung_Li
74332, Wu_Den-yih
41567, Yuan_Shikai
54905, Yuan_T._Lee
118104, male
src, edge_attr, dst
82679, hasGender, 118104
82679, isCitizenOf, 39676
82679, isPoliticianOf, 39676
59067, hasGender, 118104
59067, isPoliticianOf, 39676
104947, hasGender, 118104
104947, isPoliticianOf, 39676
93786, hasGender, 118104
93786, isCitizenOf, 39676
120901, hasGender, 118104
44193, isLocatedIn, 39676
14263, hasGender, 118104
14263, isCitizenOf, 39676
14263, isPoliticianOf, 39676
22443, hasGender, 118104
22443, isCitizenOf, 39676
79537, hasGender, 118104
79537, isCitizenOf, 39676
79537, isLeaderOf, 39676
79537, isPoliticianOf, 39676
65694, hasGender, 118104
65694, isCitizenOf, 39676
13515, hasGender, 118104
13515, isCitizenOf, 39676
109657, hasGender, 118104
109657, isPoliticianOf, 39676
52704, hasGender, 118104
52704, isCitizenOf, 39676
74332, hasGender, 118104
74332, isLeaderOf, 39676
74332, isPoliticianOf, 39676
41567, hasGender, 118104
41567, isPoliticianOf, 39676
54905, hasGender, 118104
54905, isCitizenOf, 39676
54905, livesIn, 39676
Question: How are Hank_Marvin and Hsinchu_County related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Hank_Marvin",
"Hsinchu_County"
],
"valid_edges": [
[
"Chen_Shui-bian",
"hasGender",
"male"
],
[
"Chen_Shui-bian",
"isCitizenOf",
"Taiwan"
],
[
"Chen_Shui-bian",
"isPoliticianOf",
"Taiwan"
],
[
"Chiang_Ching-kuo",
"hasGender",
"male"
],
[
"Chiang_Ching-kuo",
"isPoliticianOf",
"Taiwan"
],
[
"Chiang_Kai-shek",
"hasGender",
"male"
],
[
"Chiang_Kai-shek",
"isPoliticianOf",
"Taiwan"
],
[
"Chu_Ching-wu",
"hasGender",
"male"
],
[
"Chu_Ching-wu",
"isCitizenOf",
"Taiwan"
],
[
"Hank_Marvin",
"hasGender",
"male"
],
[
"Hsinchu_County",
"isLocatedIn",
"Taiwan"
],
[
"Lee_Teng-hui",
"hasGender",
"male"
],
[
"Lee_Teng-hui",
"isCitizenOf",
"Taiwan"
],
[
"Lee_Teng-hui",
"isPoliticianOf",
"Taiwan"
],
[
"Li_Fang-Kuei",
"hasGender",
"male"
],
[
"Li_Fang-Kuei",
"isCitizenOf",
"Taiwan"
],
[
"Ma_Ying-jeou",
"hasGender",
"male"
],
[
"Ma_Ying-jeou",
"isCitizenOf",
"Taiwan"
],
[
"Ma_Ying-jeou",
"isLeaderOf",
"Taiwan"
],
[
"Ma_Ying-jeou",
"isPoliticianOf",
"Taiwan"
],
[
"Shiing-Shen_Chern",
"hasGender",
"male"
],
[
"Shiing-Shen_Chern",
"isCitizenOf",
"Taiwan"
],
[
"Sho-Chieh_Tsiang",
"hasGender",
"male"
],
[
"Sho-Chieh_Tsiang",
"isCitizenOf",
"Taiwan"
],
[
"Sun_Yat-sen",
"hasGender",
"male"
],
[
"Sun_Yat-sen",
"isPoliticianOf",
"Taiwan"
],
[
"Wen-Hsiung_Li",
"hasGender",
"male"
],
[
"Wen-Hsiung_Li",
"isCitizenOf",
"Taiwan"
],
[
"Wu_Den-yih",
"hasGender",
"male"
],
[
"Wu_Den-yih",
"isLeaderOf",
"Taiwan"
],
[
"Wu_Den-yih",
"isPoliticianOf",
"Taiwan"
],
[
"Yuan_Shikai",
"hasGender",
"male"
],
[
"Yuan_Shikai",
"isPoliticianOf",
"Taiwan"
],
[
"Yuan_T._Lee",
"hasGender",
"male"
],
[
"Yuan_T._Lee",
"isCitizenOf",
"Taiwan"
],
[
"Yuan_T._Lee",
"livesIn",
"Taiwan"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
79327, Adélaïde_Dufrénoy
15175, Alex_Varas
123011, Alí_Manouchehri
71800, Bruno_Pesce
87023, C.D._Universidad_de_Concepción
32161, Carlos_Carmona
30179, Carlos_Tejas
117131, Carlos_Villagra
92909, Chile_national_football_team
46669, Club_Deportes_Concepción
112842, Club_Universidad_Nacional
8614, Club_Universidad_de_Chile
120293, Cobreloa
106231, Cobresal
101255, Colo-Colo
79457, Coquimbo_Unido
77871, Cristian_Febre
54048, Cristián_Gómez
68173, Curicó_Unido
74312, César_Antonio_Díaz_Escobar
69256, Daniel_Ferreyra
72332, Danny_Green_(footballer_born_1990)
105045, Derlis_Soto
22903, Diego_Rosende
85028, Everton_de_Viña_del_Mar
101326, Francisco_Valdés
10250, Gamadiel_García
105550, Germán_Leonforte
81707, Gonzalo_Garavano
25377, Gustavo_Lorenzetti
1559, J._R._Reid
77409, Javier_di_Gregorio
29766, Jean_Dénis_Wanga
80745, Jonathan_Cisternas
49754, Jorge_Francisco_Vargas
42524, José_Daniel_Ponce
35700, Juan_Carreño_López
92708, Juan_Claudio_González
79358, Juan_Manuel_Lucero
54334, Juan_Quiroga_(footballer)
8407, Luciano_Álvarez
33178, Manuel_Ibarra
78537, Manuel_Sanhouse
59280, Marcelo_Corrales
1895, Marcelo_Medina
66337, Mario_Esteban_Berríos
97081, Mauricio_Donoso
549, Miguel_Ángel_Romero
92071, Nicolás_Corvetto
100829, Nicolás_Larrondo
67471, Oscar_Román_Acosta
22049, Pablo_Lenci
108661, Patricio_Galaz
121502, Pedro_González_Vera
37473, Rangers_de_Talca
49902, Raúl_Palacios
83546, Richard_Zambrano
107944, Rodrigo_Rivera
26110, Rosario,_Santa_Fe
77054, Rosario_Central
57954, Sebastián_Pardo
27906, Unión_Española
39845, Unión_San_Felipe
118104, male
72002, Ñublense
37755, Óscar_Fabbiani
src, edge_attr, dst
79327, playsFor, 92909
79327, playsFor, 8614
79327, playsFor, 79457
79327, playsFor, 68173
79327, playsFor, 72002
15175, hasGender, 118104
15175, isAffiliatedTo, 87023
15175, isAffiliatedTo, 92909
15175, isAffiliatedTo, 101255
15175, isAffiliatedTo, 79457
15175, playsFor, 87023
15175, playsFor, 92909
15175, playsFor, 101255
15175, playsFor, 79457
123011, hasGender, 118104
123011, isAffiliatedTo, 92909
123011, isAffiliatedTo, 46669
123011, isAffiliatedTo, 79457
123011, isAffiliatedTo, 72002
123011, playsFor, 92909
123011, playsFor, 46669
123011, playsFor, 79457
123011, playsFor, 72002
71800, playsFor, 79457
71800, playsFor, 37473
32161, hasGender, 118104
32161, isAffiliatedTo, 92909
32161, isAffiliatedTo, 79457
32161, playsFor, 92909
32161, playsFor, 79457
30179, isAffiliatedTo, 92909
30179, isAffiliatedTo, 120293
30179, isAffiliatedTo, 79457
30179, playsFor, 92909
30179, playsFor, 120293
30179, playsFor, 79457
117131, hasGender, 118104
117131, isAffiliatedTo, 79457
117131, playsFor, 79457
77871, playsFor, 87023
77871, playsFor, 79457
54048, hasGender, 118104
54048, playsFor, 87023
54048, playsFor, 92909
54048, playsFor, 120293
54048, playsFor, 101255
54048, playsFor, 79457
54048, playsFor, 68173
54048, playsFor, 85028
54048, playsFor, 37473
54048, playsFor, 72002
74312, isAffiliatedTo, 120293
74312, isAffiliatedTo, 106231
74312, isAffiliatedTo, 79457
74312, isAffiliatedTo, 68173
74312, playsFor, 120293
74312, playsFor, 106231
74312, playsFor, 79457
74312, playsFor, 68173
69256, hasGender, 118104
69256, isAffiliatedTo, 79457
69256, isAffiliatedTo, 77054
69256, playsFor, 79457
69256, playsFor, 77054
72332, hasGender, 118104
105045, hasGender, 118104
105045, isAffiliatedTo, 79457
105045, playsFor, 79457
22903, isAffiliatedTo, 79457
22903, isAffiliatedTo, 27906
22903, playsFor, 79457
22903, playsFor, 27906
101326, hasGender, 118104
101326, isAffiliatedTo, 92909
101326, isAffiliatedTo, 120293
101326, isAffiliatedTo, 101255
101326, isAffiliatedTo, 79457
101326, isAffiliatedTo, 27906
101326, playsFor, 92909
101326, playsFor, 120293
101326, playsFor, 101255
101326, playsFor, 27906
10250, hasGender, 118104
10250, isAffiliatedTo, 92909
10250, isAffiliatedTo, 8614
10250, isAffiliatedTo, 79457
10250, playsFor, 92909
10250, playsFor, 8614
10250, playsFor, 79457
105550, isAffiliatedTo, 79457
105550, isAffiliatedTo, 77054
105550, playsFor, 79457
105550, playsFor, 77054
105550, wasBornIn, 26110
81707, hasGender, 118104
81707, isAffiliatedTo, 79457
81707, playsFor, 79457
25377, hasGender, 118104
25377, isAffiliatedTo, 87023
25377, isAffiliatedTo, 8614
25377, isAffiliatedTo, 79457
25377, isAffiliatedTo, 77054
25377, playsFor, 87023
25377, playsFor, 8614
25377, playsFor, 79457
25377, playsFor, 77054
25377, wasBornIn, 26110
1559, hasGender, 118104
1559, playsFor, 79457
1559, playsFor, 77054
77409, hasGender, 118104
77409, isAffiliatedTo, 92909
77409, isAffiliatedTo, 79457
77409, playsFor, 92909
77409, playsFor, 79457
29766, hasGender, 118104
29766, playsFor, 79457
80745, hasGender, 118104
80745, isAffiliatedTo, 46669
80745, isAffiliatedTo, 79457
80745, isAffiliatedTo, 72002
80745, playsFor, 92909
80745, playsFor, 46669
80745, playsFor, 8614
80745, playsFor, 120293
80745, playsFor, 79457
80745, playsFor, 72002
49754, hasGender, 118104
49754, isAffiliatedTo, 92909
49754, isAffiliatedTo, 79457
49754, playsFor, 92909
49754, playsFor, 79457
42524, hasGender, 118104
42524, isAffiliatedTo, 79457
42524, isAffiliatedTo, 85028
42524, playsFor, 79457
42524, playsFor, 85028
35700, hasGender, 118104
35700, playsFor, 92909
35700, playsFor, 112842
35700, playsFor, 106231
35700, playsFor, 79457
35700, playsFor, 85028
35700, playsFor, 27906
35700, playsFor, 39845
35700, playsFor, 72002
92708, hasGender, 118104
92708, isAffiliatedTo, 87023
92708, isAffiliatedTo, 8614
92708, isAffiliatedTo, 79457
92708, playsFor, 87023
92708, playsFor, 8614
92708, playsFor, 79457
79358, hasGender, 118104
79358, isAffiliatedTo, 106231
79358, isAffiliatedTo, 101255
79358, isAffiliatedTo, 79457
79358, playsFor, 106231
79358, playsFor, 101255
79358, playsFor, 79457
54334, hasGender, 118104
54334, isAffiliatedTo, 8614
54334, isAffiliatedTo, 106231
54334, isAffiliatedTo, 79457
54334, playsFor, 8614
54334, playsFor, 106231
54334, playsFor, 79457
8407, hasGender, 118104
8407, isAffiliatedTo, 79457
8407, playsFor, 79457
33178, hasGender, 118104
33178, isAffiliatedTo, 92909
33178, isAffiliatedTo, 8614
33178, isAffiliatedTo, 106231
33178, isAffiliatedTo, 79457
33178, isAffiliatedTo, 27906
33178, playsFor, 92909
33178, playsFor, 8614
33178, playsFor, 106231
33178, playsFor, 79457
33178, playsFor, 27906
78537, hasGender, 118104
78537, isAffiliatedTo, 79457
78537, playsFor, 79457
59280, isAffiliatedTo, 92909
59280, isAffiliatedTo, 8614
59280, isAffiliatedTo, 79457
59280, isAffiliatedTo, 39845
59280, playsFor, 92909
59280, playsFor, 8614
59280, playsFor, 79457
59280, playsFor, 39845
1895, hasGender, 118104
1895, isAffiliatedTo, 46669
1895, isAffiliatedTo, 106231
1895, isAffiliatedTo, 79457
1895, isAffiliatedTo, 72002
1895, playsFor, 46669
1895, playsFor, 106231
1895, playsFor, 79457
1895, playsFor, 72002
66337, hasGender, 118104
66337, isAffiliatedTo, 79457
66337, playsFor, 79457
97081, hasGender, 118104
97081, isAffiliatedTo, 92909
97081, isAffiliatedTo, 112842
97081, isAffiliatedTo, 8614
97081, isAffiliatedTo, 120293
97081, isAffiliatedTo, 101255
97081, isAffiliatedTo, 79457
97081, isAffiliatedTo, 85028
97081, playsFor, 92909
97081, playsFor, 112842
97081, playsFor, 8614
97081, playsFor, 120293
97081, playsFor, 101255
97081, playsFor, 79457
97081, playsFor, 85028
549, isAffiliatedTo, 120293
549, isAffiliatedTo, 101255
549, isAffiliatedTo, 79457
549, isAffiliatedTo, 68173
549, isAffiliatedTo, 85028
549, isAffiliatedTo, 39845
549, playsFor, 120293
549, playsFor, 101255
549, playsFor, 79457
549, playsFor, 68173
549, playsFor, 85028
549, playsFor, 39845
92071, hasGender, 118104
92071, isAffiliatedTo, 92909
92071, isAffiliatedTo, 101255
92071, isAffiliatedTo, 79457
92071, playsFor, 92909
92071, playsFor, 101255
92071, playsFor, 79457
100829, hasGender, 118104
100829, isAffiliatedTo, 92909
100829, isAffiliatedTo, 8614
100829, isAffiliatedTo, 79457
100829, isAffiliatedTo, 37473
100829, playsFor, 8614
100829, playsFor, 79457
100829, playsFor, 37473
67471, hasGender, 118104
67471, isAffiliatedTo, 8614
67471, isAffiliatedTo, 79457
67471, playsFor, 8614
67471, playsFor, 79457
67471, wasBornIn, 26110
22049, hasGender, 118104
22049, isAffiliatedTo, 79457
22049, playsFor, 79457
108661, hasGender, 118104
108661, isAffiliatedTo, 92909
108661, isAffiliatedTo, 8614
108661, isAffiliatedTo, 120293
108661, isAffiliatedTo, 79457
108661, isAffiliatedTo, 72002
108661, playsFor, 8614
108661, playsFor, 120293
108661, playsFor, 79457
108661, playsFor, 72002
121502, hasGender, 118104
121502, isAffiliatedTo, 92909
121502, isAffiliatedTo, 8614
121502, isAffiliatedTo, 120293
121502, isAffiliatedTo, 79457
121502, isAffiliatedTo, 27906
121502, playsFor, 8614
121502, playsFor, 120293
121502, playsFor, 79457
121502, playsFor, 27906
49902, hasGender, 118104
49902, isAffiliatedTo, 92909
49902, isAffiliatedTo, 101255
49902, isAffiliatedTo, 79457
49902, isAffiliatedTo, 85028
49902, isAffiliatedTo, 27906
49902, isAffiliatedTo, 39845
49902, playsFor, 92909
49902, playsFor, 101255
49902, playsFor, 79457
49902, playsFor, 85028
49902, playsFor, 27906
49902, playsFor, 39845
83546, hasGender, 118104
83546, isAffiliatedTo, 79457
83546, playsFor, 92909
83546, playsFor, 112842
83546, playsFor, 8614
83546, playsFor, 101255
83546, playsFor, 27906
107944, hasGender, 118104
107944, isAffiliatedTo, 92909
107944, isAffiliatedTo, 8614
107944, isAffiliatedTo, 79457
107944, isAffiliatedTo, 68173
107944, isAffiliatedTo, 72002
107944, playsFor, 8614
107944, playsFor, 79457
107944, playsFor, 68173
107944, playsFor, 72002
57954, hasGender, 118104
57954, isAffiliatedTo, 92909
57954, isAffiliatedTo, 8614
57954, isAffiliatedTo, 79457
57954, playsFor, 8614
57954, playsFor, 79457
37755, hasGender, 118104
37755, isAffiliatedTo, 92909
37755, isAffiliatedTo, 79457
37755, isAffiliatedTo, 39845
37755, playsFor, 92909
37755, playsFor, 79457
37755, playsFor, 39845
Question: How are Coquimbo_Unido and Danny_Green_(footballer_born_1990) related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Coquimbo_Unido",
"Danny_Green_(footballer_born_1990)"
],
"valid_edges": [
[
"Adélaïde_Dufrénoy",
"playsFor",
"Chile_national_football_team"
],
[
"Adélaïde_Dufrénoy",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Adélaïde_Dufrénoy",
"playsFor",
"Coquimbo_Unido"
],
[
"Adélaïde_Dufrénoy",
"playsFor",
"Curicó_Unido"
],
[
"Adélaïde_Dufrénoy",
"playsFor",
"Ñublense"
],
[
"Alex_Varas",
"hasGender",
"male"
],
[
"Alex_Varas",
"isAffiliatedTo",
"C.D._Universidad_de_Concepción"
],
[
"Alex_Varas",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Alex_Varas",
"isAffiliatedTo",
"Colo-Colo"
],
[
"Alex_Varas",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Alex_Varas",
"playsFor",
"C.D._Universidad_de_Concepción"
],
[
"Alex_Varas",
"playsFor",
"Chile_national_football_team"
],
[
"Alex_Varas",
"playsFor",
"Colo-Colo"
],
[
"Alex_Varas",
"playsFor",
"Coquimbo_Unido"
],
[
"Alí_Manouchehri",
"hasGender",
"male"
],
[
"Alí_Manouchehri",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Alí_Manouchehri",
"isAffiliatedTo",
"Club_Deportes_Concepción"
],
[
"Alí_Manouchehri",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Alí_Manouchehri",
"isAffiliatedTo",
"Ñublense"
],
[
"Alí_Manouchehri",
"playsFor",
"Chile_national_football_team"
],
[
"Alí_Manouchehri",
"playsFor",
"Club_Deportes_Concepción"
],
[
"Alí_Manouchehri",
"playsFor",
"Coquimbo_Unido"
],
[
"Alí_Manouchehri",
"playsFor",
"Ñublense"
],
[
"Bruno_Pesce",
"playsFor",
"Coquimbo_Unido"
],
[
"Bruno_Pesce",
"playsFor",
"Rangers_de_Talca"
],
[
"Carlos_Carmona",
"hasGender",
"male"
],
[
"Carlos_Carmona",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Carlos_Carmona",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Carlos_Carmona",
"playsFor",
"Chile_national_football_team"
],
[
"Carlos_Carmona",
"playsFor",
"Coquimbo_Unido"
],
[
"Carlos_Tejas",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Carlos_Tejas",
"isAffiliatedTo",
"Cobreloa"
],
[
"Carlos_Tejas",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Carlos_Tejas",
"playsFor",
"Chile_national_football_team"
],
[
"Carlos_Tejas",
"playsFor",
"Cobreloa"
],
[
"Carlos_Tejas",
"playsFor",
"Coquimbo_Unido"
],
[
"Carlos_Villagra",
"hasGender",
"male"
],
[
"Carlos_Villagra",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Carlos_Villagra",
"playsFor",
"Coquimbo_Unido"
],
[
"Cristian_Febre",
"playsFor",
"C.D._Universidad_de_Concepción"
],
[
"Cristian_Febre",
"playsFor",
"Coquimbo_Unido"
],
[
"Cristián_Gómez",
"hasGender",
"male"
],
[
"Cristián_Gómez",
"playsFor",
"C.D._Universidad_de_Concepción"
],
[
"Cristián_Gómez",
"playsFor",
"Chile_national_football_team"
],
[
"Cristián_Gómez",
"playsFor",
"Cobreloa"
],
[
"Cristián_Gómez",
"playsFor",
"Colo-Colo"
],
[
"Cristián_Gómez",
"playsFor",
"Coquimbo_Unido"
],
[
"Cristián_Gómez",
"playsFor",
"Curicó_Unido"
],
[
"Cristián_Gómez",
"playsFor",
"Everton_de_Viña_del_Mar"
],
[
"Cristián_Gómez",
"playsFor",
"Rangers_de_Talca"
],
[
"Cristián_Gómez",
"playsFor",
"Ñublense"
],
[
"César_Antonio_Díaz_Escobar",
"isAffiliatedTo",
"Cobreloa"
],
[
"César_Antonio_Díaz_Escobar",
"isAffiliatedTo",
"Cobresal"
],
[
"César_Antonio_Díaz_Escobar",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"César_Antonio_Díaz_Escobar",
"isAffiliatedTo",
"Curicó_Unido"
],
[
"César_Antonio_Díaz_Escobar",
"playsFor",
"Cobreloa"
],
[
"César_Antonio_Díaz_Escobar",
"playsFor",
"Cobresal"
],
[
"César_Antonio_Díaz_Escobar",
"playsFor",
"Coquimbo_Unido"
],
[
"César_Antonio_Díaz_Escobar",
"playsFor",
"Curicó_Unido"
],
[
"Daniel_Ferreyra",
"hasGender",
"male"
],
[
"Daniel_Ferreyra",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Daniel_Ferreyra",
"isAffiliatedTo",
"Rosario_Central"
],
[
"Daniel_Ferreyra",
"playsFor",
"Coquimbo_Unido"
],
[
"Daniel_Ferreyra",
"playsFor",
"Rosario_Central"
],
[
"Danny_Green_(footballer_born_1990)",
"hasGender",
"male"
],
[
"Derlis_Soto",
"hasGender",
"male"
],
[
"Derlis_Soto",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Derlis_Soto",
"playsFor",
"Coquimbo_Unido"
],
[
"Diego_Rosende",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Diego_Rosende",
"isAffiliatedTo",
"Unión_Española"
],
[
"Diego_Rosende",
"playsFor",
"Coquimbo_Unido"
],
[
"Diego_Rosende",
"playsFor",
"Unión_Española"
],
[
"Francisco_Valdés",
"hasGender",
"male"
],
[
"Francisco_Valdés",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Francisco_Valdés",
"isAffiliatedTo",
"Cobreloa"
],
[
"Francisco_Valdés",
"isAffiliatedTo",
"Colo-Colo"
],
[
"Francisco_Valdés",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Francisco_Valdés",
"isAffiliatedTo",
"Unión_Española"
],
[
"Francisco_Valdés",
"playsFor",
"Chile_national_football_team"
],
[
"Francisco_Valdés",
"playsFor",
"Cobreloa"
],
[
"Francisco_Valdés",
"playsFor",
"Colo-Colo"
],
[
"Francisco_Valdés",
"playsFor",
"Unión_Española"
],
[
"Gamadiel_García",
"hasGender",
"male"
],
[
"Gamadiel_García",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Gamadiel_García",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Gamadiel_García",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Gamadiel_García",
"playsFor",
"Chile_national_football_team"
],
[
"Gamadiel_García",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Gamadiel_García",
"playsFor",
"Coquimbo_Unido"
],
[
"Germán_Leonforte",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Germán_Leonforte",
"isAffiliatedTo",
"Rosario_Central"
],
[
"Germán_Leonforte",
"playsFor",
"Coquimbo_Unido"
],
[
"Germán_Leonforte",
"playsFor",
"Rosario_Central"
],
[
"Germán_Leonforte",
"wasBornIn",
"Rosario,_Santa_Fe"
],
[
"Gonzalo_Garavano",
"hasGender",
"male"
],
[
"Gonzalo_Garavano",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Gonzalo_Garavano",
"playsFor",
"Coquimbo_Unido"
],
[
"Gustavo_Lorenzetti",
"hasGender",
"male"
],
[
"Gustavo_Lorenzetti",
"isAffiliatedTo",
"C.D._Universidad_de_Concepción"
],
[
"Gustavo_Lorenzetti",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Gustavo_Lorenzetti",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Gustavo_Lorenzetti",
"isAffiliatedTo",
"Rosario_Central"
],
[
"Gustavo_Lorenzetti",
"playsFor",
"C.D._Universidad_de_Concepción"
],
[
"Gustavo_Lorenzetti",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Gustavo_Lorenzetti",
"playsFor",
"Coquimbo_Unido"
],
[
"Gustavo_Lorenzetti",
"playsFor",
"Rosario_Central"
],
[
"Gustavo_Lorenzetti",
"wasBornIn",
"Rosario,_Santa_Fe"
],
[
"J._R._Reid",
"hasGender",
"male"
],
[
"J._R._Reid",
"playsFor",
"Coquimbo_Unido"
],
[
"J._R._Reid",
"playsFor",
"Rosario_Central"
],
[
"Javier_di_Gregorio",
"hasGender",
"male"
],
[
"Javier_di_Gregorio",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Javier_di_Gregorio",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Javier_di_Gregorio",
"playsFor",
"Chile_national_football_team"
],
[
"Javier_di_Gregorio",
"playsFor",
"Coquimbo_Unido"
],
[
"Jean_Dénis_Wanga",
"hasGender",
"male"
],
[
"Jean_Dénis_Wanga",
"playsFor",
"Coquimbo_Unido"
],
[
"Jonathan_Cisternas",
"hasGender",
"male"
],
[
"Jonathan_Cisternas",
"isAffiliatedTo",
"Club_Deportes_Concepción"
],
[
"Jonathan_Cisternas",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Jonathan_Cisternas",
"isAffiliatedTo",
"Ñublense"
],
[
"Jonathan_Cisternas",
"playsFor",
"Chile_national_football_team"
],
[
"Jonathan_Cisternas",
"playsFor",
"Club_Deportes_Concepción"
],
[
"Jonathan_Cisternas",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Jonathan_Cisternas",
"playsFor",
"Cobreloa"
],
[
"Jonathan_Cisternas",
"playsFor",
"Coquimbo_Unido"
],
[
"Jonathan_Cisternas",
"playsFor",
"Ñublense"
],
[
"Jorge_Francisco_Vargas",
"hasGender",
"male"
],
[
"Jorge_Francisco_Vargas",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Jorge_Francisco_Vargas",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Jorge_Francisco_Vargas",
"playsFor",
"Chile_national_football_team"
],
[
"Jorge_Francisco_Vargas",
"playsFor",
"Coquimbo_Unido"
],
[
"José_Daniel_Ponce",
"hasGender",
"male"
],
[
"José_Daniel_Ponce",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"José_Daniel_Ponce",
"isAffiliatedTo",
"Everton_de_Viña_del_Mar"
],
[
"José_Daniel_Ponce",
"playsFor",
"Coquimbo_Unido"
],
[
"José_Daniel_Ponce",
"playsFor",
"Everton_de_Viña_del_Mar"
],
[
"Juan_Carreño_López",
"hasGender",
"male"
],
[
"Juan_Carreño_López",
"playsFor",
"Chile_national_football_team"
],
[
"Juan_Carreño_López",
"playsFor",
"Club_Universidad_Nacional"
],
[
"Juan_Carreño_López",
"playsFor",
"Cobresal"
],
[
"Juan_Carreño_López",
"playsFor",
"Coquimbo_Unido"
],
[
"Juan_Carreño_López",
"playsFor",
"Everton_de_Viña_del_Mar"
],
[
"Juan_Carreño_López",
"playsFor",
"Unión_Española"
],
[
"Juan_Carreño_López",
"playsFor",
"Unión_San_Felipe"
],
[
"Juan_Carreño_López",
"playsFor",
"Ñublense"
],
[
"Juan_Claudio_González",
"hasGender",
"male"
],
[
"Juan_Claudio_González",
"isAffiliatedTo",
"C.D._Universidad_de_Concepción"
],
[
"Juan_Claudio_González",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Juan_Claudio_González",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Juan_Claudio_González",
"playsFor",
"C.D._Universidad_de_Concepción"
],
[
"Juan_Claudio_González",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Juan_Claudio_González",
"playsFor",
"Coquimbo_Unido"
],
[
"Juan_Manuel_Lucero",
"hasGender",
"male"
],
[
"Juan_Manuel_Lucero",
"isAffiliatedTo",
"Cobresal"
],
[
"Juan_Manuel_Lucero",
"isAffiliatedTo",
"Colo-Colo"
],
[
"Juan_Manuel_Lucero",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Juan_Manuel_Lucero",
"playsFor",
"Cobresal"
],
[
"Juan_Manuel_Lucero",
"playsFor",
"Colo-Colo"
],
[
"Juan_Manuel_Lucero",
"playsFor",
"Coquimbo_Unido"
],
[
"Juan_Quiroga_(footballer)",
"hasGender",
"male"
],
[
"Juan_Quiroga_(footballer)",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Juan_Quiroga_(footballer)",
"isAffiliatedTo",
"Cobresal"
],
[
"Juan_Quiroga_(footballer)",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Juan_Quiroga_(footballer)",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Juan_Quiroga_(footballer)",
"playsFor",
"Cobresal"
],
[
"Juan_Quiroga_(footballer)",
"playsFor",
"Coquimbo_Unido"
],
[
"Luciano_Álvarez",
"hasGender",
"male"
],
[
"Luciano_Álvarez",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Luciano_Álvarez",
"playsFor",
"Coquimbo_Unido"
],
[
"Manuel_Ibarra",
"hasGender",
"male"
],
[
"Manuel_Ibarra",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Manuel_Ibarra",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Manuel_Ibarra",
"isAffiliatedTo",
"Cobresal"
],
[
"Manuel_Ibarra",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Manuel_Ibarra",
"isAffiliatedTo",
"Unión_Española"
],
[
"Manuel_Ibarra",
"playsFor",
"Chile_national_football_team"
],
[
"Manuel_Ibarra",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Manuel_Ibarra",
"playsFor",
"Cobresal"
],
[
"Manuel_Ibarra",
"playsFor",
"Coquimbo_Unido"
],
[
"Manuel_Ibarra",
"playsFor",
"Unión_Española"
],
[
"Manuel_Sanhouse",
"hasGender",
"male"
],
[
"Manuel_Sanhouse",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Manuel_Sanhouse",
"playsFor",
"Coquimbo_Unido"
],
[
"Marcelo_Corrales",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Marcelo_Corrales",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Marcelo_Corrales",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Marcelo_Corrales",
"isAffiliatedTo",
"Unión_San_Felipe"
],
[
"Marcelo_Corrales",
"playsFor",
"Chile_national_football_team"
],
[
"Marcelo_Corrales",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Marcelo_Corrales",
"playsFor",
"Coquimbo_Unido"
],
[
"Marcelo_Corrales",
"playsFor",
"Unión_San_Felipe"
],
[
"Marcelo_Medina",
"hasGender",
"male"
],
[
"Marcelo_Medina",
"isAffiliatedTo",
"Club_Deportes_Concepción"
],
[
"Marcelo_Medina",
"isAffiliatedTo",
"Cobresal"
],
[
"Marcelo_Medina",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Marcelo_Medina",
"isAffiliatedTo",
"Ñublense"
],
[
"Marcelo_Medina",
"playsFor",
"Club_Deportes_Concepción"
],
[
"Marcelo_Medina",
"playsFor",
"Cobresal"
],
[
"Marcelo_Medina",
"playsFor",
"Coquimbo_Unido"
],
[
"Marcelo_Medina",
"playsFor",
"Ñublense"
],
[
"Mario_Esteban_Berríos",
"hasGender",
"male"
],
[
"Mario_Esteban_Berríos",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Mario_Esteban_Berríos",
"playsFor",
"Coquimbo_Unido"
],
[
"Mauricio_Donoso",
"hasGender",
"male"
],
[
"Mauricio_Donoso",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Mauricio_Donoso",
"isAffiliatedTo",
"Club_Universidad_Nacional"
],
[
"Mauricio_Donoso",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Mauricio_Donoso",
"isAffiliatedTo",
"Cobreloa"
],
[
"Mauricio_Donoso",
"isAffiliatedTo",
"Colo-Colo"
],
[
"Mauricio_Donoso",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Mauricio_Donoso",
"isAffiliatedTo",
"Everton_de_Viña_del_Mar"
],
[
"Mauricio_Donoso",
"playsFor",
"Chile_national_football_team"
],
[
"Mauricio_Donoso",
"playsFor",
"Club_Universidad_Nacional"
],
[
"Mauricio_Donoso",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Mauricio_Donoso",
"playsFor",
"Cobreloa"
],
[
"Mauricio_Donoso",
"playsFor",
"Colo-Colo"
],
[
"Mauricio_Donoso",
"playsFor",
"Coquimbo_Unido"
],
[
"Mauricio_Donoso",
"playsFor",
"Everton_de_Viña_del_Mar"
],
[
"Miguel_Ángel_Romero",
"isAffiliatedTo",
"Cobreloa"
],
[
"Miguel_Ángel_Romero",
"isAffiliatedTo",
"Colo-Colo"
],
[
"Miguel_Ángel_Romero",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Miguel_Ángel_Romero",
"isAffiliatedTo",
"Curicó_Unido"
],
[
"Miguel_Ángel_Romero",
"isAffiliatedTo",
"Everton_de_Viña_del_Mar"
],
[
"Miguel_Ángel_Romero",
"isAffiliatedTo",
"Unión_San_Felipe"
],
[
"Miguel_Ángel_Romero",
"playsFor",
"Cobreloa"
],
[
"Miguel_Ángel_Romero",
"playsFor",
"Colo-Colo"
],
[
"Miguel_Ángel_Romero",
"playsFor",
"Coquimbo_Unido"
],
[
"Miguel_Ángel_Romero",
"playsFor",
"Curicó_Unido"
],
[
"Miguel_Ángel_Romero",
"playsFor",
"Everton_de_Viña_del_Mar"
],
[
"Miguel_Ángel_Romero",
"playsFor",
"Unión_San_Felipe"
],
[
"Nicolás_Corvetto",
"hasGender",
"male"
],
[
"Nicolás_Corvetto",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Nicolás_Corvetto",
"isAffiliatedTo",
"Colo-Colo"
],
[
"Nicolás_Corvetto",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Nicolás_Corvetto",
"playsFor",
"Chile_national_football_team"
],
[
"Nicolás_Corvetto",
"playsFor",
"Colo-Colo"
],
[
"Nicolás_Corvetto",
"playsFor",
"Coquimbo_Unido"
],
[
"Nicolás_Larrondo",
"hasGender",
"male"
],
[
"Nicolás_Larrondo",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Nicolás_Larrondo",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Nicolás_Larrondo",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Nicolás_Larrondo",
"isAffiliatedTo",
"Rangers_de_Talca"
],
[
"Nicolás_Larrondo",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Nicolás_Larrondo",
"playsFor",
"Coquimbo_Unido"
],
[
"Nicolás_Larrondo",
"playsFor",
"Rangers_de_Talca"
],
[
"Oscar_Román_Acosta",
"hasGender",
"male"
],
[
"Oscar_Román_Acosta",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Oscar_Román_Acosta",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Oscar_Román_Acosta",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Oscar_Román_Acosta",
"playsFor",
"Coquimbo_Unido"
],
[
"Oscar_Román_Acosta",
"wasBornIn",
"Rosario,_Santa_Fe"
],
[
"Pablo_Lenci",
"hasGender",
"male"
],
[
"Pablo_Lenci",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Pablo_Lenci",
"playsFor",
"Coquimbo_Unido"
],
[
"Patricio_Galaz",
"hasGender",
"male"
],
[
"Patricio_Galaz",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Patricio_Galaz",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Patricio_Galaz",
"isAffiliatedTo",
"Cobreloa"
],
[
"Patricio_Galaz",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Patricio_Galaz",
"isAffiliatedTo",
"Ñublense"
],
[
"Patricio_Galaz",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Patricio_Galaz",
"playsFor",
"Cobreloa"
],
[
"Patricio_Galaz",
"playsFor",
"Coquimbo_Unido"
],
[
"Patricio_Galaz",
"playsFor",
"Ñublense"
],
[
"Pedro_González_Vera",
"hasGender",
"male"
],
[
"Pedro_González_Vera",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Pedro_González_Vera",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Pedro_González_Vera",
"isAffiliatedTo",
"Cobreloa"
],
[
"Pedro_González_Vera",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Pedro_González_Vera",
"isAffiliatedTo",
"Unión_Española"
],
[
"Pedro_González_Vera",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Pedro_González_Vera",
"playsFor",
"Cobreloa"
],
[
"Pedro_González_Vera",
"playsFor",
"Coquimbo_Unido"
],
[
"Pedro_González_Vera",
"playsFor",
"Unión_Española"
],
[
"Raúl_Palacios",
"hasGender",
"male"
],
[
"Raúl_Palacios",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Raúl_Palacios",
"isAffiliatedTo",
"Colo-Colo"
],
[
"Raúl_Palacios",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Raúl_Palacios",
"isAffiliatedTo",
"Everton_de_Viña_del_Mar"
],
[
"Raúl_Palacios",
"isAffiliatedTo",
"Unión_Española"
],
[
"Raúl_Palacios",
"isAffiliatedTo",
"Unión_San_Felipe"
],
[
"Raúl_Palacios",
"playsFor",
"Chile_national_football_team"
],
[
"Raúl_Palacios",
"playsFor",
"Colo-Colo"
],
[
"Raúl_Palacios",
"playsFor",
"Coquimbo_Unido"
],
[
"Raúl_Palacios",
"playsFor",
"Everton_de_Viña_del_Mar"
],
[
"Raúl_Palacios",
"playsFor",
"Unión_Española"
],
[
"Raúl_Palacios",
"playsFor",
"Unión_San_Felipe"
],
[
"Richard_Zambrano",
"hasGender",
"male"
],
[
"Richard_Zambrano",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Richard_Zambrano",
"playsFor",
"Chile_national_football_team"
],
[
"Richard_Zambrano",
"playsFor",
"Club_Universidad_Nacional"
],
[
"Richard_Zambrano",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Richard_Zambrano",
"playsFor",
"Colo-Colo"
],
[
"Richard_Zambrano",
"playsFor",
"Unión_Española"
],
[
"Rodrigo_Rivera",
"hasGender",
"male"
],
[
"Rodrigo_Rivera",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Rodrigo_Rivera",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Rodrigo_Rivera",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Rodrigo_Rivera",
"isAffiliatedTo",
"Curicó_Unido"
],
[
"Rodrigo_Rivera",
"isAffiliatedTo",
"Ñublense"
],
[
"Rodrigo_Rivera",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Rodrigo_Rivera",
"playsFor",
"Coquimbo_Unido"
],
[
"Rodrigo_Rivera",
"playsFor",
"Curicó_Unido"
],
[
"Rodrigo_Rivera",
"playsFor",
"Ñublense"
],
[
"Sebastián_Pardo",
"hasGender",
"male"
],
[
"Sebastián_Pardo",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Sebastián_Pardo",
"isAffiliatedTo",
"Club_Universidad_de_Chile"
],
[
"Sebastián_Pardo",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Sebastián_Pardo",
"playsFor",
"Club_Universidad_de_Chile"
],
[
"Sebastián_Pardo",
"playsFor",
"Coquimbo_Unido"
],
[
"Óscar_Fabbiani",
"hasGender",
"male"
],
[
"Óscar_Fabbiani",
"isAffiliatedTo",
"Chile_national_football_team"
],
[
"Óscar_Fabbiani",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Óscar_Fabbiani",
"isAffiliatedTo",
"Unión_San_Felipe"
],
[
"Óscar_Fabbiani",
"playsFor",
"Chile_national_football_team"
],
[
"Óscar_Fabbiani",
"playsFor",
"Coquimbo_Unido"
],
[
"Óscar_Fabbiani",
"playsFor",
"Unión_San_Felipe"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
22933, Arnold_Schwarzenegger
46524, Bolton_Wanderers_F.C.
68719, Jerry_Brown
52519, Lester_Cole
77522, San_Francisco
src, edge_attr, dst
22933, hasChild, 68719
22933, playsFor, 46524
68719, wasBornIn, 77522
52519, diedIn, 77522
Question: How are Bolton_Wanderers_F.C. and Lester_Cole related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Bolton_Wanderers_F.C.",
"Lester_Cole"
],
"valid_edges": [
[
"Arnold_Schwarzenegger",
"hasChild",
"Jerry_Brown"
],
[
"Arnold_Schwarzenegger",
"playsFor",
"Bolton_Wanderers_F.C."
],
[
"Jerry_Brown",
"wasBornIn",
"San_Francisco"
],
[
"Lester_Cole",
"diedIn",
"San_Francisco"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
18438, Azerbaijan
9981, Ganja,_Azerbaijan
41225, Rogue_Traders
94149, Valeriya_Korotenko
80384, female
src, edge_attr, dst
9981, isLocatedIn, 18438
41225, hasGender, 80384
94149, hasGender, 80384
94149, isCitizenOf, 18438
Question: For what reason are Ganja,_Azerbaijan and Rogue_Traders associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ganja,_Azerbaijan",
"Rogue_Traders"
],
"valid_edges": [
[
"Ganja,_Azerbaijan",
"isLocatedIn",
"Azerbaijan"
],
[
"Rogue_Traders",
"hasGender",
"female"
],
[
"Valeriya_Korotenko",
"hasGender",
"female"
],
[
"Valeriya_Korotenko",
"isCitizenOf",
"Azerbaijan"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
62124, Marco_Sturm
106316, Rodrigo_Moreno_Machado
118104, male
src, edge_attr, dst
62124, hasGender, 118104
106316, hasGender, 118104
Question: For what reason are Marco_Sturm and Rodrigo_Moreno_Machado associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Marco_Sturm",
"Rodrigo_Moreno_Machado"
],
"valid_edges": [
[
"Marco_Sturm",
"hasGender",
"male"
],
[
"Rodrigo_Moreno_Machado",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
68785, Alberta
108086, Canada
27672, Cardston
91147, Division_No._2,_Alberta
32398, Drumheller
62404, Gary_Bikman
89297, Jim_Hillyer_(politician)
38013, Kevin_Sorenson
19342, Lethbridge
122089, Southern_Alberta
115991, Stirling,_Alberta
42579, Taber,_Alberta
118104, male
79330, Ľubomír_Reiter
src, edge_attr, dst
27672, isLocatedIn, 68785
27672, isLocatedIn, 108086
27672, isLocatedIn, 122089
32398, isLocatedIn, 68785
32398, isLocatedIn, 108086
32398, isLocatedIn, 122089
62404, hasGender, 118104
62404, isLeaderOf, 27672
62404, isLeaderOf, 115991
62404, isLeaderOf, 42579
89297, hasGender, 118104
89297, isLeaderOf, 27672
89297, isLeaderOf, 19342
89297, isLeaderOf, 115991
38013, hasGender, 118104
38013, isLeaderOf, 32398
19342, isLocatedIn, 68785
19342, isLocatedIn, 108086
19342, isLocatedIn, 91147
19342, isLocatedIn, 122089
115991, isLocatedIn, 68785
115991, isLocatedIn, 108086
115991, isLocatedIn, 91147
115991, isLocatedIn, 122089
42579, isLocatedIn, 68785
42579, isLocatedIn, 108086
42579, isLocatedIn, 91147
42579, isLocatedIn, 122089
79330, hasGender, 118104
Question: For what reason are Southern_Alberta and Ľubomír_Reiter associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Southern_Alberta",
"Ľubomír_Reiter"
],
"valid_edges": [
[
"Cardston",
"isLocatedIn",
"Alberta"
],
[
"Cardston",
"isLocatedIn",
"Canada"
],
[
"Cardston",
"isLocatedIn",
"Southern_Alberta"
],
[
"Drumheller",
"isLocatedIn",
"Alberta"
],
[
"Drumheller",
"isLocatedIn",
"Canada"
],
[
"Drumheller",
"isLocatedIn",
"Southern_Alberta"
],
[
"Gary_Bikman",
"hasGender",
"male"
],
[
"Gary_Bikman",
"isLeaderOf",
"Cardston"
],
[
"Gary_Bikman",
"isLeaderOf",
"Stirling,_Alberta"
],
[
"Gary_Bikman",
"isLeaderOf",
"Taber,_Alberta"
],
[
"Jim_Hillyer_(politician)",
"hasGender",
"male"
],
[
"Jim_Hillyer_(politician)",
"isLeaderOf",
"Cardston"
],
[
"Jim_Hillyer_(politician)",
"isLeaderOf",
"Lethbridge"
],
[
"Jim_Hillyer_(politician)",
"isLeaderOf",
"Stirling,_Alberta"
],
[
"Kevin_Sorenson",
"hasGender",
"male"
],
[
"Kevin_Sorenson",
"isLeaderOf",
"Drumheller"
],
[
"Lethbridge",
"isLocatedIn",
"Alberta"
],
[
"Lethbridge",
"isLocatedIn",
"Canada"
],
[
"Lethbridge",
"isLocatedIn",
"Division_No._2,_Alberta"
],
[
"Lethbridge",
"isLocatedIn",
"Southern_Alberta"
],
[
"Stirling,_Alberta",
"isLocatedIn",
"Alberta"
],
[
"Stirling,_Alberta",
"isLocatedIn",
"Canada"
],
[
"Stirling,_Alberta",
"isLocatedIn",
"Division_No._2,_Alberta"
],
[
"Stirling,_Alberta",
"isLocatedIn",
"Southern_Alberta"
],
[
"Taber,_Alberta",
"isLocatedIn",
"Alberta"
],
[
"Taber,_Alberta",
"isLocatedIn",
"Canada"
],
[
"Taber,_Alberta",
"isLocatedIn",
"Division_No._2,_Alberta"
],
[
"Taber,_Alberta",
"isLocatedIn",
"Southern_Alberta"
],
[
"Ľubomír_Reiter",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
29089, Anthony_Stokes
31310, Celtic_F.C.
6635, Darren_O'Dea
9755, David_van_Zanten
119881, Dublin
118654, Frank_Collins_(footballer)
34362, Glasnevin
18823, Independent_(politician)
60554, Joe_Haverty
14327, Joe_Kennaway
104734, Liam_Brady
6691, Michael_Doyle_(footballer)
90079, Paddy_Turner
72981, Paul_Byrne_(footballer_born_1972)
59574, Peter_Kavanagh_(Irish_footballer)
31353, Pierce_O'Leary
65114, Richie_Towell
111808, Robbie_Keane
46343, Willo_Flood
src, edge_attr, dst
29089, isAffiliatedTo, 31310
29089, playsFor, 31310
29089, wasBornIn, 119881
6635, isAffiliatedTo, 31310
6635, playsFor, 31310
6635, wasBornIn, 119881
9755, isAffiliatedTo, 31310
9755, wasBornIn, 119881
118654, isAffiliatedTo, 31310
118654, playsFor, 31310
118654, wasBornIn, 119881
34362, isLocatedIn, 119881
18823, isLeaderOf, 119881
18823, playsFor, 31310
60554, isAffiliatedTo, 31310
60554, playsFor, 31310
60554, wasBornIn, 119881
14327, isAffiliatedTo, 31310
14327, playsFor, 31310
104734, isAffiliatedTo, 31310
104734, wasBornIn, 119881
6691, isAffiliatedTo, 31310
6691, playsFor, 31310
6691, wasBornIn, 119881
90079, isAffiliatedTo, 31310
90079, playsFor, 31310
90079, wasBornIn, 119881
72981, isAffiliatedTo, 31310
72981, playsFor, 31310
72981, wasBornIn, 119881
59574, isAffiliatedTo, 31310
59574, playsFor, 31310
59574, wasBornIn, 119881
31353, isAffiliatedTo, 31310
31353, playsFor, 31310
31353, wasBornIn, 119881
65114, isAffiliatedTo, 31310
65114, playsFor, 31310
65114, wasBornIn, 119881
111808, isAffiliatedTo, 31310
111808, playsFor, 31310
111808, wasBornIn, 119881
46343, isAffiliatedTo, 31310
46343, playsFor, 31310
46343, wasBornIn, 119881
Question: For what reason are Glasnevin and Joe_Kennaway associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Glasnevin",
"Joe_Kennaway"
],
"valid_edges": [
[
"Anthony_Stokes",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Anthony_Stokes",
"playsFor",
"Celtic_F.C."
],
[
"Anthony_Stokes",
"wasBornIn",
"Dublin"
],
[
"Darren_O'Dea",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Darren_O'Dea",
"playsFor",
"Celtic_F.C."
],
[
"Darren_O'Dea",
"wasBornIn",
"Dublin"
],
[
"David_van_Zanten",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"David_van_Zanten",
"wasBornIn",
"Dublin"
],
[
"Frank_Collins_(footballer)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Frank_Collins_(footballer)",
"playsFor",
"Celtic_F.C."
],
[
"Frank_Collins_(footballer)",
"wasBornIn",
"Dublin"
],
[
"Glasnevin",
"isLocatedIn",
"Dublin"
],
[
"Independent_(politician)",
"isLeaderOf",
"Dublin"
],
[
"Independent_(politician)",
"playsFor",
"Celtic_F.C."
],
[
"Joe_Haverty",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Joe_Haverty",
"playsFor",
"Celtic_F.C."
],
[
"Joe_Haverty",
"wasBornIn",
"Dublin"
],
[
"Joe_Kennaway",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Joe_Kennaway",
"playsFor",
"Celtic_F.C."
],
[
"Liam_Brady",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Liam_Brady",
"wasBornIn",
"Dublin"
],
[
"Michael_Doyle_(footballer)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Michael_Doyle_(footballer)",
"playsFor",
"Celtic_F.C."
],
[
"Michael_Doyle_(footballer)",
"wasBornIn",
"Dublin"
],
[
"Paddy_Turner",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Paddy_Turner",
"playsFor",
"Celtic_F.C."
],
[
"Paddy_Turner",
"wasBornIn",
"Dublin"
],
[
"Paul_Byrne_(footballer_born_1972)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Paul_Byrne_(footballer_born_1972)",
"playsFor",
"Celtic_F.C."
],
[
"Paul_Byrne_(footballer_born_1972)",
"wasBornIn",
"Dublin"
],
[
"Peter_Kavanagh_(Irish_footballer)",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Peter_Kavanagh_(Irish_footballer)",
"playsFor",
"Celtic_F.C."
],
[
"Peter_Kavanagh_(Irish_footballer)",
"wasBornIn",
"Dublin"
],
[
"Pierce_O'Leary",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Pierce_O'Leary",
"playsFor",
"Celtic_F.C."
],
[
"Pierce_O'Leary",
"wasBornIn",
"Dublin"
],
[
"Richie_Towell",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Richie_Towell",
"playsFor",
"Celtic_F.C."
],
[
"Richie_Towell",
"wasBornIn",
"Dublin"
],
[
"Robbie_Keane",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Robbie_Keane",
"playsFor",
"Celtic_F.C."
],
[
"Robbie_Keane",
"wasBornIn",
"Dublin"
],
[
"Willo_Flood",
"isAffiliatedTo",
"Celtic_F.C."
],
[
"Willo_Flood",
"playsFor",
"Celtic_F.C."
],
[
"Willo_Flood",
"wasBornIn",
"Dublin"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
5682, Morgan_Stewart's_Coming_Home
29639, Thomas_Eisner
29157, United_States
src, edge_attr, dst
5682, isLocatedIn, 29157
29639, isCitizenOf, 29157
Question: For what reason are Morgan_Stewart's_Coming_Home and Thomas_Eisner associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Morgan_Stewart's_Coming_Home",
"Thomas_Eisner"
],
"valid_edges": [
[
"Morgan_Stewart's_Coming_Home",
"isLocatedIn",
"United_States"
],
[
"Thomas_Eisner",
"isCitizenOf",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
4392, Győri_ETO_FC
48909, Hungary
43991, Krisztián_Kenesei
44599, Slovenia
37312, Šempeter_pri_Gorici
src, edge_attr, dst
4392, isLocatedIn, 48909
48909, hasNeighbor, 44599
43991, isAffiliatedTo, 4392
43991, playsFor, 4392
44599, dealsWith, 48909
44599, hasNeighbor, 48909
37312, isLocatedIn, 44599
Question: How are Krisztián_Kenesei and Šempeter_pri_Gorici related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Krisztián_Kenesei",
"Šempeter_pri_Gorici"
],
"valid_edges": [
[
"Győri_ETO_FC",
"isLocatedIn",
"Hungary"
],
[
"Hungary",
"hasNeighbor",
"Slovenia"
],
[
"Krisztián_Kenesei",
"isAffiliatedTo",
"Győri_ETO_FC"
],
[
"Krisztián_Kenesei",
"playsFor",
"Győri_ETO_FC"
],
[
"Slovenia",
"dealsWith",
"Hungary"
],
[
"Slovenia",
"hasNeighbor",
"Hungary"
],
[
"Šempeter_pri_Gorici",
"isLocatedIn",
"Slovenia"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
11174, Bert_Patenaude
66863, Fall_River,_Massachusetts
121065, Jesus_(1999_film)
97668, Roger_Young_(director)
1525, The_Bourne_Identity_(1988_film)
29157, United_States
src, edge_attr, dst
11174, diedIn, 66863
11174, wasBornIn, 66863
66863, isLocatedIn, 29157
121065, isLocatedIn, 29157
97668, directed, 121065
97668, directed, 1525
1525, isLocatedIn, 29157
Question: For what reason are Bert_Patenaude and Roger_Young_(director) associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Bert_Patenaude",
"Roger_Young_(director)"
],
"valid_edges": [
[
"Bert_Patenaude",
"diedIn",
"Fall_River,_Massachusetts"
],
[
"Bert_Patenaude",
"wasBornIn",
"Fall_River,_Massachusetts"
],
[
"Fall_River,_Massachusetts",
"isLocatedIn",
"United_States"
],
[
"Jesus_(1999_film)",
"isLocatedIn",
"United_States"
],
[
"Roger_Young_(director)",
"directed",
"Jesus_(1999_film)"
],
[
"Roger_Young_(director)",
"directed",
"The_Bourne_Identity_(1988_film)"
],
[
"The_Bourne_Identity_(1988_film)",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
94876, Anton_Jongsma
115604, FC_Groningen
64702, Goran_Lovre
101533, Ljuba_Baranin
33051, Serbia_national_under-21_football_team
src, edge_attr, dst
94876, isAffiliatedTo, 115604
94876, playsFor, 115604
64702, isAffiliatedTo, 115604
64702, isAffiliatedTo, 33051
64702, playsFor, 115604
101533, isAffiliatedTo, 33051
Question: How are Anton_Jongsma and Ljuba_Baranin related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Anton_Jongsma",
"Ljuba_Baranin"
],
"valid_edges": [
[
"Anton_Jongsma",
"isAffiliatedTo",
"FC_Groningen"
],
[
"Anton_Jongsma",
"playsFor",
"FC_Groningen"
],
[
"Goran_Lovre",
"isAffiliatedTo",
"FC_Groningen"
],
[
"Goran_Lovre",
"isAffiliatedTo",
"Serbia_national_under-21_football_team"
],
[
"Goran_Lovre",
"playsFor",
"FC_Groningen"
],
[
"Ljuba_Baranin",
"isAffiliatedTo",
"Serbia_national_under-21_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
86909, Barcelona
95083, CE_L'Hospitalet
75624, CE_Sabadell_FC
38304, CF_Gavà
56487, FC_Barcelona
84785, FC_Barcelona_B
106493, FC_Barcelona_C
89826, FC_Santboià
80421, Girona_FC
24024, Marcelo_Antônio_Guedes_Filho
8259, Mikhail_Mikhaylovich_Gerasimov
53244, Mohammed_El_Yaagoubi
99796, Paco_Flores
41415, RCD_Espanyol
91326, Tonet
118104, male
src, edge_attr, dst
24024, hasGender, 118104
8259, hasGender, 118104
8259, playsFor, 95083
8259, playsFor, 75624
8259, playsFor, 38304
8259, playsFor, 56487
8259, playsFor, 84785
8259, playsFor, 106493
8259, playsFor, 89826
8259, playsFor, 80421
53244, hasGender, 118104
53244, isAffiliatedTo, 75624
53244, isAffiliatedTo, 56487
53244, isAffiliatedTo, 84785
53244, isAffiliatedTo, 106493
53244, isAffiliatedTo, 89826
53244, isAffiliatedTo, 80421
53244, isAffiliatedTo, 41415
53244, playsFor, 75624
53244, playsFor, 84785
53244, playsFor, 106493
53244, playsFor, 89826
53244, playsFor, 80421
53244, playsFor, 41415
99796, hasGender, 118104
99796, isAffiliatedTo, 75624
99796, isAffiliatedTo, 89826
99796, isAffiliatedTo, 80421
99796, isAffiliatedTo, 41415
99796, playsFor, 75624
99796, playsFor, 89826
99796, playsFor, 80421
99796, playsFor, 41415
99796, wasBornIn, 86909
91326, hasGender, 118104
91326, isAffiliatedTo, 95083
91326, isAffiliatedTo, 38304
91326, isAffiliatedTo, 56487
91326, isAffiliatedTo, 89826
91326, playsFor, 95083
91326, playsFor, 38304
91326, playsFor, 56487
91326, playsFor, 89826
91326, wasBornIn, 86909
Question: How are FC_Santboià and Marcelo_Antônio_Guedes_Filho related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"FC_Santboià",
"Marcelo_Antônio_Guedes_Filho"
],
"valid_edges": [
[
"Marcelo_Antônio_Guedes_Filho",
"hasGender",
"male"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"hasGender",
"male"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"CE_L'Hospitalet"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"CE_Sabadell_FC"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"CF_Gavà"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"FC_Barcelona"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"FC_Barcelona_B"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"FC_Barcelona_C"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"FC_Santboià"
],
[
"Mikhail_Mikhaylovich_Gerasimov",
"playsFor",
"Girona_FC"
],
[
"Mohammed_El_Yaagoubi",
"hasGender",
"male"
],
[
"Mohammed_El_Yaagoubi",
"isAffiliatedTo",
"CE_Sabadell_FC"
],
[
"Mohammed_El_Yaagoubi",
"isAffiliatedTo",
"FC_Barcelona"
],
[
"Mohammed_El_Yaagoubi",
"isAffiliatedTo",
"FC_Barcelona_B"
],
[
"Mohammed_El_Yaagoubi",
"isAffiliatedTo",
"FC_Barcelona_C"
],
[
"Mohammed_El_Yaagoubi",
"isAffiliatedTo",
"FC_Santboià"
],
[
"Mohammed_El_Yaagoubi",
"isAffiliatedTo",
"Girona_FC"
],
[
"Mohammed_El_Yaagoubi",
"isAffiliatedTo",
"RCD_Espanyol"
],
[
"Mohammed_El_Yaagoubi",
"playsFor",
"CE_Sabadell_FC"
],
[
"Mohammed_El_Yaagoubi",
"playsFor",
"FC_Barcelona_B"
],
[
"Mohammed_El_Yaagoubi",
"playsFor",
"FC_Barcelona_C"
],
[
"Mohammed_El_Yaagoubi",
"playsFor",
"FC_Santboià"
],
[
"Mohammed_El_Yaagoubi",
"playsFor",
"Girona_FC"
],
[
"Mohammed_El_Yaagoubi",
"playsFor",
"RCD_Espanyol"
],
[
"Paco_Flores",
"hasGender",
"male"
],
[
"Paco_Flores",
"isAffiliatedTo",
"CE_Sabadell_FC"
],
[
"Paco_Flores",
"isAffiliatedTo",
"FC_Santboià"
],
[
"Paco_Flores",
"isAffiliatedTo",
"Girona_FC"
],
[
"Paco_Flores",
"isAffiliatedTo",
"RCD_Espanyol"
],
[
"Paco_Flores",
"playsFor",
"CE_Sabadell_FC"
],
[
"Paco_Flores",
"playsFor",
"FC_Santboià"
],
[
"Paco_Flores",
"playsFor",
"Girona_FC"
],
[
"Paco_Flores",
"playsFor",
"RCD_Espanyol"
],
[
"Paco_Flores",
"wasBornIn",
"Barcelona"
],
[
"Tonet",
"hasGender",
"male"
],
[
"Tonet",
"isAffiliatedTo",
"CE_L'Hospitalet"
],
[
"Tonet",
"isAffiliatedTo",
"CF_Gavà"
],
[
"Tonet",
"isAffiliatedTo",
"FC_Barcelona"
],
[
"Tonet",
"isAffiliatedTo",
"FC_Santboià"
],
[
"Tonet",
"playsFor",
"CE_L'Hospitalet"
],
[
"Tonet",
"playsFor",
"CF_Gavà"
],
[
"Tonet",
"playsFor",
"FC_Barcelona"
],
[
"Tonet",
"playsFor",
"FC_Santboià"
],
[
"Tonet",
"wasBornIn",
"Barcelona"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
57242, 1._FC_Tatran_Prešov
107345, Alfréd_Schaffer
102600, FC_Rapid_București
51006, FC_Spartak_Trnava
111158, FK_Dukla_Banská_Bystrica
42688, FK_Spišská_Nová_Ves
54855, Ioannis_Matzourakis
75408, Ion_Ionuț_Luțu
40595, Ira_C._Eaker
106100, John_Bonnar
9928, Jules_Bocandé
68189, Ján_Kozák_(footballer_born_1954)
35663, Lasha_Jakobia
58004, Laurent_Blanc
92818, Levoča
40728, MFK_Košice
58612, MFK_Ružomberok
98792, MFK_Zemplín_Michalovce
56981, Manager_(association_football)
21448, Mauricio_Pochettino
45114, Miloš_Lačný
2428, Paris_Saint-Germain_F.C.
90144, Pavol_Jurčo
75275, Roberto_Bisconti
5751, Safet_Sušić
3017, Slovakia_national_football_team
36322, Slovakia_national_under-21_football_team
67421, Stéphane_Mahé
101054, Viorel_Moldovan
114696, Vladislav_Zvara
114509, Youssef_Haraoui
118104, male
src, edge_attr, dst
107345, hasGender, 118104
107345, isAffiliatedTo, 102600
54855, hasGender, 118104
54855, isAffiliatedTo, 102600
54855, playsFor, 102600
75408, hasGender, 118104
75408, isAffiliatedTo, 102600
75408, playsFor, 102600
40595, hasGender, 118104
40595, playsFor, 102600
106100, hasGender, 118104
106100, playsFor, 51006
106100, playsFor, 111158
106100, playsFor, 42688
9928, hasGender, 118104
9928, isAffiliatedTo, 2428
9928, playsFor, 2428
68189, hasGender, 118104
68189, isAffiliatedTo, 42688
68189, isAffiliatedTo, 40728
68189, isAffiliatedTo, 98792
68189, isAffiliatedTo, 56981
68189, isAffiliatedTo, 3017
68189, playsFor, 42688
35663, hasGender, 118104
35663, isAffiliatedTo, 102600
35663, isAffiliatedTo, 2428
35663, playsFor, 102600
58004, hasGender, 118104
58004, isAffiliatedTo, 2428
56981, hasGender, 118104
21448, hasGender, 118104
21448, isAffiliatedTo, 2428
21448, playsFor, 2428
45114, hasGender, 118104
45114, isAffiliatedTo, 58612
45114, isAffiliatedTo, 36322
45114, playsFor, 42688
45114, playsFor, 58612
45114, playsFor, 36322
45114, wasBornIn, 92818
90144, isAffiliatedTo, 57242
90144, isAffiliatedTo, 111158
90144, isAffiliatedTo, 42688
90144, isAffiliatedTo, 40728
90144, isAffiliatedTo, 58612
90144, isAffiliatedTo, 98792
90144, isAffiliatedTo, 36322
90144, playsFor, 57242
90144, playsFor, 111158
90144, playsFor, 40728
90144, playsFor, 58612
90144, playsFor, 98792
90144, playsFor, 36322
90144, wasBornIn, 92818
75275, hasGender, 118104
75275, isAffiliatedTo, 102600
75275, playsFor, 102600
5751, hasGender, 118104
5751, isAffiliatedTo, 2428
5751, playsFor, 2428
67421, hasGender, 118104
67421, isAffiliatedTo, 2428
67421, playsFor, 2428
101054, hasGender, 118104
101054, isAffiliatedTo, 102600
101054, playsFor, 102600
114696, hasGender, 118104
114696, isAffiliatedTo, 57242
114696, isAffiliatedTo, 51006
114696, isAffiliatedTo, 42688
114696, isAffiliatedTo, 40728
114696, isAffiliatedTo, 58612
114696, isAffiliatedTo, 3017
114696, playsFor, 57242
114696, playsFor, 51006
114696, playsFor, 40728
114696, playsFor, 58612
114696, playsFor, 3017
114509, hasGender, 118104
114509, isAffiliatedTo, 2428
114509, playsFor, 2428
Question: In what context are FK_Spišská_Nová_Ves and Lasha_Jakobia connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"FK_Spišská_Nová_Ves",
"Lasha_Jakobia"
],
"valid_edges": [
[
"Alfréd_Schaffer",
"hasGender",
"male"
],
[
"Alfréd_Schaffer",
"isAffiliatedTo",
"FC_Rapid_București"
],
[
"Ioannis_Matzourakis",
"hasGender",
"male"
],
[
"Ioannis_Matzourakis",
"isAffiliatedTo",
"FC_Rapid_București"
],
[
"Ioannis_Matzourakis",
"playsFor",
"FC_Rapid_București"
],
[
"Ion_Ionuț_Luțu",
"hasGender",
"male"
],
[
"Ion_Ionuț_Luțu",
"isAffiliatedTo",
"FC_Rapid_București"
],
[
"Ion_Ionuț_Luțu",
"playsFor",
"FC_Rapid_București"
],
[
"Ira_C._Eaker",
"hasGender",
"male"
],
[
"Ira_C._Eaker",
"playsFor",
"FC_Rapid_București"
],
[
"John_Bonnar",
"hasGender",
"male"
],
[
"John_Bonnar",
"playsFor",
"FC_Spartak_Trnava"
],
[
"John_Bonnar",
"playsFor",
"FK_Dukla_Banská_Bystrica"
],
[
"John_Bonnar",
"playsFor",
"FK_Spišská_Nová_Ves"
],
[
"Jules_Bocandé",
"hasGender",
"male"
],
[
"Jules_Bocandé",
"isAffiliatedTo",
"Paris_Saint-Germain_F.C."
],
[
"Jules_Bocandé",
"playsFor",
"Paris_Saint-Germain_F.C."
],
[
"Ján_Kozák_(footballer_born_1954)",
"hasGender",
"male"
],
[
"Ján_Kozák_(footballer_born_1954)",
"isAffiliatedTo",
"FK_Spišská_Nová_Ves"
],
[
"Ján_Kozák_(footballer_born_1954)",
"isAffiliatedTo",
"MFK_Košice"
],
[
"Ján_Kozák_(footballer_born_1954)",
"isAffiliatedTo",
"MFK_Zemplín_Michalovce"
],
[
"Ján_Kozák_(footballer_born_1954)",
"isAffiliatedTo",
"Manager_(association_football)"
],
[
"Ján_Kozák_(footballer_born_1954)",
"isAffiliatedTo",
"Slovakia_national_football_team"
],
[
"Ján_Kozák_(footballer_born_1954)",
"playsFor",
"FK_Spišská_Nová_Ves"
],
[
"Lasha_Jakobia",
"hasGender",
"male"
],
[
"Lasha_Jakobia",
"isAffiliatedTo",
"FC_Rapid_București"
],
[
"Lasha_Jakobia",
"isAffiliatedTo",
"Paris_Saint-Germain_F.C."
],
[
"Lasha_Jakobia",
"playsFor",
"FC_Rapid_București"
],
[
"Laurent_Blanc",
"hasGender",
"male"
],
[
"Laurent_Blanc",
"isAffiliatedTo",
"Paris_Saint-Germain_F.C."
],
[
"Manager_(association_football)",
"hasGender",
"male"
],
[
"Mauricio_Pochettino",
"hasGender",
"male"
],
[
"Mauricio_Pochettino",
"isAffiliatedTo",
"Paris_Saint-Germain_F.C."
],
[
"Mauricio_Pochettino",
"playsFor",
"Paris_Saint-Germain_F.C."
],
[
"Miloš_Lačný",
"hasGender",
"male"
],
[
"Miloš_Lačný",
"isAffiliatedTo",
"MFK_Ružomberok"
],
[
"Miloš_Lačný",
"isAffiliatedTo",
"Slovakia_national_under-21_football_team"
],
[
"Miloš_Lačný",
"playsFor",
"FK_Spišská_Nová_Ves"
],
[
"Miloš_Lačný",
"playsFor",
"MFK_Ružomberok"
],
[
"Miloš_Lačný",
"playsFor",
"Slovakia_national_under-21_football_team"
],
[
"Miloš_Lačný",
"wasBornIn",
"Levoča"
],
[
"Pavol_Jurčo",
"isAffiliatedTo",
"1._FC_Tatran_Prešov"
],
[
"Pavol_Jurčo",
"isAffiliatedTo",
"FK_Dukla_Banská_Bystrica"
],
[
"Pavol_Jurčo",
"isAffiliatedTo",
"FK_Spišská_Nová_Ves"
],
[
"Pavol_Jurčo",
"isAffiliatedTo",
"MFK_Košice"
],
[
"Pavol_Jurčo",
"isAffiliatedTo",
"MFK_Ružomberok"
],
[
"Pavol_Jurčo",
"isAffiliatedTo",
"MFK_Zemplín_Michalovce"
],
[
"Pavol_Jurčo",
"isAffiliatedTo",
"Slovakia_national_under-21_football_team"
],
[
"Pavol_Jurčo",
"playsFor",
"1._FC_Tatran_Prešov"
],
[
"Pavol_Jurčo",
"playsFor",
"FK_Dukla_Banská_Bystrica"
],
[
"Pavol_Jurčo",
"playsFor",
"MFK_Košice"
],
[
"Pavol_Jurčo",
"playsFor",
"MFK_Ružomberok"
],
[
"Pavol_Jurčo",
"playsFor",
"MFK_Zemplín_Michalovce"
],
[
"Pavol_Jurčo",
"playsFor",
"Slovakia_national_under-21_football_team"
],
[
"Pavol_Jurčo",
"wasBornIn",
"Levoča"
],
[
"Roberto_Bisconti",
"hasGender",
"male"
],
[
"Roberto_Bisconti",
"isAffiliatedTo",
"FC_Rapid_București"
],
[
"Roberto_Bisconti",
"playsFor",
"FC_Rapid_București"
],
[
"Safet_Sušić",
"hasGender",
"male"
],
[
"Safet_Sušić",
"isAffiliatedTo",
"Paris_Saint-Germain_F.C."
],
[
"Safet_Sušić",
"playsFor",
"Paris_Saint-Germain_F.C."
],
[
"Stéphane_Mahé",
"hasGender",
"male"
],
[
"Stéphane_Mahé",
"isAffiliatedTo",
"Paris_Saint-Germain_F.C."
],
[
"Stéphane_Mahé",
"playsFor",
"Paris_Saint-Germain_F.C."
],
[
"Viorel_Moldovan",
"hasGender",
"male"
],
[
"Viorel_Moldovan",
"isAffiliatedTo",
"FC_Rapid_București"
],
[
"Viorel_Moldovan",
"playsFor",
"FC_Rapid_București"
],
[
"Vladislav_Zvara",
"hasGender",
"male"
],
[
"Vladislav_Zvara",
"isAffiliatedTo",
"1._FC_Tatran_Prešov"
],
[
"Vladislav_Zvara",
"isAffiliatedTo",
"FC_Spartak_Trnava"
],
[
"Vladislav_Zvara",
"isAffiliatedTo",
"FK_Spišská_Nová_Ves"
],
[
"Vladislav_Zvara",
"isAffiliatedTo",
"MFK_Košice"
],
[
"Vladislav_Zvara",
"isAffiliatedTo",
"MFK_Ružomberok"
],
[
"Vladislav_Zvara",
"isAffiliatedTo",
"Slovakia_national_football_team"
],
[
"Vladislav_Zvara",
"playsFor",
"1._FC_Tatran_Prešov"
],
[
"Vladislav_Zvara",
"playsFor",
"FC_Spartak_Trnava"
],
[
"Vladislav_Zvara",
"playsFor",
"MFK_Košice"
],
[
"Vladislav_Zvara",
"playsFor",
"MFK_Ružomberok"
],
[
"Vladislav_Zvara",
"playsFor",
"Slovakia_national_football_team"
],
[
"Youssef_Haraoui",
"hasGender",
"male"
],
[
"Youssef_Haraoui",
"isAffiliatedTo",
"Paris_Saint-Germain_F.C."
],
[
"Youssef_Haraoui",
"playsFor",
"Paris_Saint-Germain_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
69921, Arthur_Lange
73833, Humberto_Suazo
118104, male
src, edge_attr, dst
69921, hasGender, 118104
73833, hasGender, 118104
Question: How are Arthur_Lange and Humberto_Suazo related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Arthur_Lange",
"Humberto_Suazo"
],
"valid_edges": [
[
"Arthur_Lange",
"hasGender",
"male"
],
[
"Humberto_Suazo",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
66666, Abu_Dhabi_International_Airport
47730, Addis_Ababa_Bole_International_Airport
54791, Allama_Iqbal_International_Airport
122131, Almaty_International_Airport
44998, Antalya_Airport
31713, Athens_International_Airport
123141, Baghdad_International_Airport
52782, Bahrain_International_Airport
79641, Bandaranaike_International_Airport
80358, Beirut–Rafic_Hariri_International_Airport
55361, Belgrade_Nikola_Tesla_Airport
104690, Ben_Gurion_Airport
17859, Benazir_Bhutto_International_Airport
66779, Billund_Airport
58160, Birmingham_Airport
35252, Bordeaux–Mérignac_Airport
11103, Borg_El_Arab_Airport
58119, Brussels_Airport
68229, Cairo_International_Airport
67404, Chennai_International_Airport
40137, Chhatrapati_Shivaji_International_Airport
98176, Cochin_International_Airport
76829, Cologne_Bonn_Airport
100785, Copenhagen_Airport
86922, Djibouti–Ambouli_International_Airport
13348, Dubai_International_Terminal_3
5876, Düsseldorf_Airport
70781, Edinburgh_Airport
48600, Erbil_International_Airport
65613, Esenboğa_International_Airport
107681, EuroAirport_Basel–Mulhouse–Freiburg
63832, Gatwick_Airport
75000, Gazipaşa_Airport
25539, Geneva_International_Airport
47885, George_Bush_Intercontinental_Airport
42590, Guangzhou_Baiyun_International_Airport
47217, Hamad_International_Airport
96377, Hatay_Airport
5886, Henri_Coandă_International_Airport
18969, Heydar_Aliyev_International_Airport
48503, Hong_Kong_International_Airport
110197, Houari_Boumediene_Airport
8361, Houston
118560, Hurghada_International_Airport
8345, Incheon_International_Airport
1567, Indira_Gandhi_International_Airport
31523, Istanbul_Atatürk_Airport
26868, Jinnah_International_Airport
93765, John_F._Kennedy_International_Airport
85433, Jomo_Kenyatta_International_Airport
120345, Khartoum_International_Airport
72832, King_Abdulaziz_International_Airport
54446, King_Fahd_International_Airport
53492, King_Khalid_International_Airport
8232, Kristiansand_Airport,_Kjevik
60068, Kuala_Lumpur_International_Airport
20725, Kuwait_International_Airport
63375, Leonardo_da_Vinci–Fiumicino_Airport
112733, Los_Angeles_International_Airport
33821, Luxembourg_Findel_Airport
113991, Madrid–Barajas_Airport
15893, Malpensa_Airport
69974, Manchester_Airport
24035, Marseille_Provence_Airport
18412, Mashhad_International_Airport
78457, Mohammed_V_International_Airport
121085, Moi_International_Airport
4579, Muscat_International_Airport
811, Nantes_Atlantique_Airport
58702, Ninoy_Aquino_International_Airport
7013, O._R._Tambo_International_Airport
52458, Prague_Václav_Havel_Airport
17398, Prince_Mohammad_bin_Abdulaziz_Airport
5143, Prince_Nayef_bin_Abdulaziz_Regional_Airport
60664, Pulkovo_Airport
62743, Queen_Alia_International_Airport
28869, Rajiv_Gandhi_International_Airport
79406, Salomon_Bochner
51981, Salzburg_Airport
96256, Sana'a_International_Airport
44589, Shahjalal_International_Airport
2384, Sheremetyevo_International_Airport
28300, Shiraz_International_Airport
71133, Singapore_Changi_Airport
87981, Soekarno–Hatta_International_Airport
120265, Stockholm_Arlanda_Airport
11659, Sulaimaniyah_International_Airport
44125, Ta’if_Regional_Airport
24510, Tbilisi_International_Airport
63858, Tehran_Imam_Khomeini_International_Airport
35865, Toronto_Pearson_International_Airport
97974, Tripoli_International_Airport
88450, Tunis–Carthage_International_Airport
60724, Vienna_International_Airport
118295, Vilnius_Airport
2453, Vnukovo_International_Airport
12808, Warsaw_Chopin_Airport
21000, Washington_Dulles_International_Airport
74876, Zurich_Airport
src, edge_attr, dst
66666, isConnectedTo, 72832
66666, isConnectedTo, 53492
47730, isConnectedTo, 72832
47730, isConnectedTo, 53492
122131, isConnectedTo, 72832
44998, isConnectedTo, 122131
44998, isConnectedTo, 55361
44998, isConnectedTo, 104690
44998, isConnectedTo, 66779
44998, isConnectedTo, 58160
44998, isConnectedTo, 35252
44998, isConnectedTo, 58119
44998, isConnectedTo, 76829
44998, isConnectedTo, 100785
44998, isConnectedTo, 5876
44998, isConnectedTo, 70781
44998, isConnectedTo, 48600
44998, isConnectedTo, 65613
44998, isConnectedTo, 107681
44998, isConnectedTo, 25539
44998, isConnectedTo, 96377
44998, isConnectedTo, 5886
44998, isConnectedTo, 18969
44998, isConnectedTo, 69974
44998, isConnectedTo, 24035
44998, isConnectedTo, 811
44998, isConnectedTo, 52458
44998, isConnectedTo, 17398
44998, isConnectedTo, 60664
44998, isConnectedTo, 51981
44998, isConnectedTo, 2384
44998, isConnectedTo, 120265
44998, isConnectedTo, 11659
44998, isConnectedTo, 60724
44998, isConnectedTo, 118295
44998, isConnectedTo, 12808
44998, isConnectedTo, 74876
31713, isConnectedTo, 11103
31713, isConnectedTo, 31523
123141, isConnectedTo, 65613
52782, isConnectedTo, 31523
52782, isConnectedTo, 72832
52782, isConnectedTo, 53492
79641, isConnectedTo, 31523
79641, isConnectedTo, 72832
79641, isConnectedTo, 53492
80358, isConnectedTo, 11103
80358, isConnectedTo, 72832
80358, isConnectedTo, 53492
55361, isConnectedTo, 44998
55361, isConnectedTo, 31523
104690, isConnectedTo, 31523
66779, isConnectedTo, 31523
11103, isConnectedTo, 31713
11103, isConnectedTo, 80358
11103, isConnectedTo, 68229
11103, isConnectedTo, 47217
11103, isConnectedTo, 118560
11103, isConnectedTo, 31523
11103, isConnectedTo, 72832
11103, isConnectedTo, 54446
11103, isConnectedTo, 53492
11103, isConnectedTo, 20725
11103, isConnectedTo, 17398
11103, isConnectedTo, 62743
11103, isConnectedTo, 97974
58119, isConnectedTo, 44998
58119, isConnectedTo, 65613
68229, isConnectedTo, 11103
68229, isConnectedTo, 72832
68229, isConnectedTo, 53492
67404, isConnectedTo, 72832
67404, isConnectedTo, 53492
40137, isConnectedTo, 31523
40137, isConnectedTo, 72832
40137, isConnectedTo, 53492
98176, isConnectedTo, 72832
98176, isConnectedTo, 53492
76829, isConnectedTo, 44998
76829, isConnectedTo, 65613
76829, isConnectedTo, 31523
100785, isConnectedTo, 44998
100785, isConnectedTo, 31523
86922, isConnectedTo, 72832
86922, isConnectedTo, 53492
13348, isConnectedTo, 72832
13348, isConnectedTo, 53492
5876, isConnectedTo, 44998
5876, isConnectedTo, 65613
5876, isConnectedTo, 31523
70781, isConnectedTo, 31523
48600, isConnectedTo, 65613
65613, isConnectedTo, 44998
65613, isConnectedTo, 123141
65613, isConnectedTo, 80358
65613, isConnectedTo, 58119
65613, isConnectedTo, 68229
65613, isConnectedTo, 76829
65613, isConnectedTo, 100785
65613, isConnectedTo, 5876
65613, isConnectedTo, 48600
65613, isConnectedTo, 63832
65613, isConnectedTo, 75000
65613, isConnectedTo, 47217
65613, isConnectedTo, 96377
65613, isConnectedTo, 18969
65613, isConnectedTo, 72832
65613, isConnectedTo, 53492
65613, isConnectedTo, 20725
65613, isConnectedTo, 15893
65613, isConnectedTo, 62743
65613, isConnectedTo, 120265
65613, isConnectedTo, 24510
65613, isConnectedTo, 63858
65613, isConnectedTo, 97974
65613, isConnectedTo, 60724
75000, isConnectedTo, 65613
75000, isConnectedTo, 31523
25539, isConnectedTo, 44998
25539, isConnectedTo, 72832
25539, isConnectedTo, 53492
47885, isLocatedIn, 8361
42590, isConnectedTo, 72832
42590, isConnectedTo, 53492
47217, isConnectedTo, 65613
47217, isConnectedTo, 72832
47217, isConnectedTo, 53492
96377, isConnectedTo, 44998
96377, isConnectedTo, 11103
96377, isConnectedTo, 65613
96377, isConnectedTo, 72832
96377, isConnectedTo, 53492
18969, isConnectedTo, 44998
18969, isConnectedTo, 65613
48503, isConnectedTo, 53492
8361, owns, 47885
118560, isConnectedTo, 11103
118560, isConnectedTo, 31523
8345, isConnectedTo, 31523
8345, isConnectedTo, 72832
8345, isConnectedTo, 53492
31523, isConnectedTo, 66666
31523, isConnectedTo, 47730
31523, isConnectedTo, 54791
31523, isConnectedTo, 122131
31523, isConnectedTo, 44998
31523, isConnectedTo, 31713
31523, isConnectedTo, 123141
31523, isConnectedTo, 52782
31523, isConnectedTo, 79641
31523, isConnectedTo, 80358
31523, isConnectedTo, 55361
31523, isConnectedTo, 104690
31523, isConnectedTo, 17859
31523, isConnectedTo, 66779
31523, isConnectedTo, 58160
31523, isConnectedTo, 35252
31523, isConnectedTo, 11103
31523, isConnectedTo, 58119
31523, isConnectedTo, 68229
31523, isConnectedTo, 40137
31523, isConnectedTo, 76829
31523, isConnectedTo, 100785
31523, isConnectedTo, 86922
31523, isConnectedTo, 5876
31523, isConnectedTo, 70781
31523, isConnectedTo, 48600
31523, isConnectedTo, 65613
31523, isConnectedTo, 107681
31523, isConnectedTo, 75000
31523, isConnectedTo, 25539
31523, isConnectedTo, 47885
31523, isConnectedTo, 42590
31523, isConnectedTo, 47217
31523, isConnectedTo, 96377
31523, isConnectedTo, 5886
31523, isConnectedTo, 18969
31523, isConnectedTo, 48503
31523, isConnectedTo, 110197
31523, isConnectedTo, 118560
31523, isConnectedTo, 8345
31523, isConnectedTo, 1567
31523, isConnectedTo, 26868
31523, isConnectedTo, 85433
31523, isConnectedTo, 120345
31523, isConnectedTo, 72832
31523, isConnectedTo, 54446
31523, isConnectedTo, 53492
31523, isConnectedTo, 8232
31523, isConnectedTo, 60068
31523, isConnectedTo, 20725
31523, isConnectedTo, 112733
31523, isConnectedTo, 33821
31523, isConnectedTo, 113991
31523, isConnectedTo, 15893
31523, isConnectedTo, 69974
31523, isConnectedTo, 24035
31523, isConnectedTo, 18412
31523, isConnectedTo, 78457
31523, isConnectedTo, 121085
31523, isConnectedTo, 811
31523, isConnectedTo, 7013
31523, isConnectedTo, 52458
31523, isConnectedTo, 17398
31523, isConnectedTo, 5143
31523, isConnectedTo, 60664
31523, isConnectedTo, 62743
31523, isConnectedTo, 51981
31523, isConnectedTo, 96256
31523, isConnectedTo, 44589
31523, isConnectedTo, 28300
31523, isConnectedTo, 71133
31523, isConnectedTo, 87981
31523, isConnectedTo, 120265
31523, isConnectedTo, 11659
31523, isConnectedTo, 44125
31523, isConnectedTo, 24510
31523, isConnectedTo, 63858
31523, isConnectedTo, 35865
31523, isConnectedTo, 97974
31523, isConnectedTo, 88450
31523, isConnectedTo, 60724
31523, isConnectedTo, 118295
31523, isConnectedTo, 2453
31523, isConnectedTo, 12808
31523, isConnectedTo, 74876
26868, isConnectedTo, 31523
26868, isConnectedTo, 72832
26868, isConnectedTo, 53492
93765, isConnectedTo, 31523
93765, isConnectedTo, 72832
93765, isConnectedTo, 53492
120345, isConnectedTo, 31523
120345, isConnectedTo, 72832
120345, isConnectedTo, 53492
72832, isConnectedTo, 66666
72832, isConnectedTo, 47730
72832, isConnectedTo, 54791
72832, isConnectedTo, 44998
72832, isConnectedTo, 52782
72832, isConnectedTo, 79641
72832, isConnectedTo, 80358
72832, isConnectedTo, 17859
72832, isConnectedTo, 11103
72832, isConnectedTo, 68229
72832, isConnectedTo, 67404
72832, isConnectedTo, 40137
72832, isConnectedTo, 98176
72832, isConnectedTo, 86922
72832, isConnectedTo, 65613
72832, isConnectedTo, 63832
72832, isConnectedTo, 25539
72832, isConnectedTo, 42590
72832, isConnectedTo, 47217
72832, isConnectedTo, 96377
72832, isConnectedTo, 110197
72832, isConnectedTo, 1567
72832, isConnectedTo, 31523
72832, isConnectedTo, 26868
72832, isConnectedTo, 85433
72832, isConnectedTo, 120345
72832, isConnectedTo, 54446
72832, isConnectedTo, 53492
72832, isConnectedTo, 60068
72832, isConnectedTo, 20725
72832, isConnectedTo, 112733
72832, isConnectedTo, 113991
72832, isConnectedTo, 69974
72832, isConnectedTo, 18412
72832, isConnectedTo, 78457
72832, isConnectedTo, 121085
72832, isConnectedTo, 4579
72832, isConnectedTo, 58702
72832, isConnectedTo, 17398
72832, isConnectedTo, 5143
72832, isConnectedTo, 62743
72832, isConnectedTo, 28869
72832, isConnectedTo, 96256
72832, isConnectedTo, 44589
72832, isConnectedTo, 28300
72832, isConnectedTo, 71133
72832, isConnectedTo, 87981
72832, isConnectedTo, 44125
72832, isConnectedTo, 35865
72832, isConnectedTo, 97974
72832, isConnectedTo, 88450
54446, isConnectedTo, 11103
54446, isConnectedTo, 72832
54446, isConnectedTo, 53492
8232, isConnectedTo, 44998
63375, isConnectedTo, 72832
63375, isConnectedTo, 53492
112733, isConnectedTo, 31523
112733, isConnectedTo, 72832
112733, isConnectedTo, 53492
33821, isConnectedTo, 44998
33821, isConnectedTo, 31523
113991, isConnectedTo, 31523
113991, isConnectedTo, 72832
113991, isConnectedTo, 53492
15893, isConnectedTo, 31523
15893, isConnectedTo, 72832
15893, isConnectedTo, 53492
18412, isConnectedTo, 31523
18412, isConnectedTo, 72832
4579, isConnectedTo, 31523
4579, isConnectedTo, 72832
4579, isConnectedTo, 53492
58702, isConnectedTo, 72832
58702, isConnectedTo, 53492
7013, isConnectedTo, 31523
7013, isConnectedTo, 72832
17398, isConnectedTo, 11103
17398, isConnectedTo, 72832
17398, isConnectedTo, 53492
5143, isConnectedTo, 72832
5143, isConnectedTo, 53492
60664, isConnectedTo, 44998
60664, isConnectedTo, 31523
62743, isConnectedTo, 44998
62743, isConnectedTo, 11103
62743, isConnectedTo, 31523
62743, isConnectedTo, 72832
62743, isConnectedTo, 53492
28869, isConnectedTo, 72832
28869, isConnectedTo, 53492
79406, diedIn, 8361
51981, isConnectedTo, 44998
51981, isConnectedTo, 31523
96256, isConnectedTo, 31523
96256, isConnectedTo, 72832
96256, isConnectedTo, 53492
44589, isConnectedTo, 31523
44589, isConnectedTo, 72832
44589, isConnectedTo, 53492
2384, isConnectedTo, 44998
2384, isConnectedTo, 31523
28300, isConnectedTo, 31523
71133, isConnectedTo, 31523
71133, isConnectedTo, 72832
71133, isConnectedTo, 53492
87981, isConnectedTo, 72832
87981, isConnectedTo, 53492
11659, isConnectedTo, 44998
44125, isConnectedTo, 53492
24510, isConnectedTo, 44998
63858, isConnectedTo, 44998
63858, isConnectedTo, 65613
63858, isConnectedTo, 31523
35865, isConnectedTo, 31523
35865, isConnectedTo, 72832
35865, isConnectedTo, 53492
97974, isConnectedTo, 11103
60724, isConnectedTo, 44998
60724, isConnectedTo, 65613
2453, isConnectedTo, 44998
2453, isConnectedTo, 65613
2453, isConnectedTo, 31523
21000, isConnectedTo, 31523
21000, isConnectedTo, 72832
21000, isConnectedTo, 53492
Question: How are Hatay_Airport and Salomon_Bochner related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Hatay_Airport",
"Salomon_Bochner"
],
"valid_edges": [
[
"Abu_Dhabi_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Abu_Dhabi_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Addis_Ababa_Bole_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Addis_Ababa_Bole_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Almaty_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Almaty_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Belgrade_Nikola_Tesla_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Ben_Gurion_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Billund_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Birmingham_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Bordeaux–Mérignac_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Brussels_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Cologne_Bonn_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Copenhagen_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Düsseldorf_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Edinburgh_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Erbil_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"EuroAirport_Basel–Mulhouse–Freiburg"
],
[
"Antalya_Airport",
"isConnectedTo",
"Geneva_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Hatay_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Henri_Coandă_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Heydar_Aliyev_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Manchester_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Marseille_Provence_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Nantes_Atlantique_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Prague_Václav_Havel_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Prince_Mohammad_bin_Abdulaziz_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Pulkovo_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Salzburg_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Sheremetyevo_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Stockholm_Arlanda_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Sulaimaniyah_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Vienna_International_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Vilnius_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Warsaw_Chopin_Airport"
],
[
"Antalya_Airport",
"isConnectedTo",
"Zurich_Airport"
],
[
"Athens_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Athens_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Baghdad_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Bahrain_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Bahrain_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Bahrain_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Bandaranaike_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Bandaranaike_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Bandaranaike_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Beirut–Rafic_Hariri_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Beirut–Rafic_Hariri_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Beirut–Rafic_Hariri_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Belgrade_Nikola_Tesla_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Belgrade_Nikola_Tesla_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Ben_Gurion_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Billund_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Athens_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Beirut–Rafic_Hariri_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Cairo_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Hamad_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Hurghada_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"King_Fahd_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Kuwait_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Prince_Mohammad_bin_Abdulaziz_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Queen_Alia_International_Airport"
],
[
"Borg_El_Arab_Airport",
"isConnectedTo",
"Tripoli_International_Airport"
],
[
"Brussels_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Brussels_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Cairo_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Cairo_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Cairo_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Chennai_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Chennai_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Chhatrapati_Shivaji_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Chhatrapati_Shivaji_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Chhatrapati_Shivaji_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Cochin_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Cochin_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Cologne_Bonn_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Cologne_Bonn_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Cologne_Bonn_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Copenhagen_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Copenhagen_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Djibouti–Ambouli_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Djibouti–Ambouli_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Dubai_International_Terminal_3",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Dubai_International_Terminal_3",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Düsseldorf_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Düsseldorf_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Düsseldorf_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Edinburgh_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Erbil_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Baghdad_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Beirut–Rafic_Hariri_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Brussels_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Cairo_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Cologne_Bonn_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Copenhagen_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Düsseldorf_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Erbil_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Gatwick_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Gazipaşa_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Hamad_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Hatay_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Heydar_Aliyev_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Kuwait_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Malpensa_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Queen_Alia_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Stockholm_Arlanda_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Tbilisi_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Tehran_Imam_Khomeini_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Tripoli_International_Airport"
],
[
"Esenboğa_International_Airport",
"isConnectedTo",
"Vienna_International_Airport"
],
[
"Gazipaşa_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Gazipaşa_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Geneva_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Geneva_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Geneva_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"George_Bush_Intercontinental_Airport",
"isLocatedIn",
"Houston"
],
[
"Guangzhou_Baiyun_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Guangzhou_Baiyun_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Hamad_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Hamad_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Hamad_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Hatay_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Hatay_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Hatay_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Hatay_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Hatay_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Heydar_Aliyev_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Heydar_Aliyev_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Hong_Kong_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Houston",
"owns",
"George_Bush_Intercontinental_Airport"
],
[
"Hurghada_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Hurghada_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Incheon_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Incheon_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Incheon_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Abu_Dhabi_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Addis_Ababa_Bole_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Allama_Iqbal_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Almaty_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Athens_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Baghdad_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Bahrain_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Bandaranaike_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Beirut–Rafic_Hariri_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Belgrade_Nikola_Tesla_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Ben_Gurion_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Benazir_Bhutto_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Billund_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Birmingham_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Bordeaux–Mérignac_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Brussels_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Cairo_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Chhatrapati_Shivaji_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Cologne_Bonn_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Copenhagen_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Djibouti–Ambouli_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Düsseldorf_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Edinburgh_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Erbil_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"EuroAirport_Basel–Mulhouse–Freiburg"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Gazipaşa_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Geneva_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"George_Bush_Intercontinental_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Guangzhou_Baiyun_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Hamad_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Hatay_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Henri_Coandă_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Heydar_Aliyev_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Hong_Kong_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Houari_Boumediene_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Hurghada_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Incheon_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Indira_Gandhi_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Jinnah_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Jomo_Kenyatta_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Khartoum_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"King_Fahd_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Kristiansand_Airport,_Kjevik"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Kuala_Lumpur_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Kuwait_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Los_Angeles_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Luxembourg_Findel_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Madrid–Barajas_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Malpensa_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Manchester_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Marseille_Provence_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Mashhad_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Mohammed_V_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Moi_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Nantes_Atlantique_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"O._R._Tambo_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Prague_Václav_Havel_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Prince_Mohammad_bin_Abdulaziz_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Prince_Nayef_bin_Abdulaziz_Regional_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Pulkovo_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Queen_Alia_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Salzburg_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Sana'a_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Shahjalal_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Shiraz_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Singapore_Changi_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Soekarno–Hatta_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Stockholm_Arlanda_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Sulaimaniyah_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Ta’if_Regional_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Tbilisi_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Tehran_Imam_Khomeini_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Toronto_Pearson_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Tripoli_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Tunis–Carthage_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Vienna_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Vilnius_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Vnukovo_International_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Warsaw_Chopin_Airport"
],
[
"Istanbul_Atatürk_Airport",
"isConnectedTo",
"Zurich_Airport"
],
[
"Jinnah_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Jinnah_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Jinnah_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"John_F._Kennedy_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"John_F._Kennedy_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"John_F._Kennedy_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Khartoum_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Khartoum_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Khartoum_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Abu_Dhabi_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Addis_Ababa_Bole_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Allama_Iqbal_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Bahrain_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Bandaranaike_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Beirut–Rafic_Hariri_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Benazir_Bhutto_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Cairo_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Chennai_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Chhatrapati_Shivaji_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Cochin_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Djibouti–Ambouli_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Gatwick_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Geneva_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Guangzhou_Baiyun_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Hamad_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Hatay_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Houari_Boumediene_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Indira_Gandhi_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Jinnah_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Jomo_Kenyatta_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Khartoum_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"King_Fahd_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Kuala_Lumpur_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Kuwait_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Los_Angeles_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Madrid–Barajas_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Manchester_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Mashhad_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Mohammed_V_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Moi_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Muscat_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Ninoy_Aquino_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Prince_Mohammad_bin_Abdulaziz_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Prince_Nayef_bin_Abdulaziz_Regional_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Queen_Alia_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Rajiv_Gandhi_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Sana'a_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Shahjalal_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Shiraz_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Singapore_Changi_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Soekarno–Hatta_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Ta’if_Regional_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Toronto_Pearson_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Tripoli_International_Airport"
],
[
"King_Abdulaziz_International_Airport",
"isConnectedTo",
"Tunis–Carthage_International_Airport"
],
[
"King_Fahd_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"King_Fahd_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"King_Fahd_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Kristiansand_Airport,_Kjevik",
"isConnectedTo",
"Antalya_Airport"
],
[
"Leonardo_da_Vinci–Fiumicino_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Leonardo_da_Vinci–Fiumicino_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Los_Angeles_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Los_Angeles_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Los_Angeles_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Luxembourg_Findel_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Luxembourg_Findel_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Madrid–Barajas_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Madrid–Barajas_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Madrid–Barajas_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Malpensa_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Malpensa_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Malpensa_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Mashhad_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Mashhad_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Muscat_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Muscat_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Muscat_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Ninoy_Aquino_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Ninoy_Aquino_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"O._R._Tambo_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"O._R._Tambo_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Prince_Mohammad_bin_Abdulaziz_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Prince_Mohammad_bin_Abdulaziz_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Prince_Mohammad_bin_Abdulaziz_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Prince_Nayef_bin_Abdulaziz_Regional_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Prince_Nayef_bin_Abdulaziz_Regional_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Pulkovo_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Pulkovo_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Queen_Alia_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Queen_Alia_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Queen_Alia_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Queen_Alia_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Queen_Alia_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Rajiv_Gandhi_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Rajiv_Gandhi_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Salomon_Bochner",
"diedIn",
"Houston"
],
[
"Salzburg_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Salzburg_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Sana'a_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Sana'a_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Sana'a_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Shahjalal_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Shahjalal_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Shahjalal_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Sheremetyevo_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Sheremetyevo_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Shiraz_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Singapore_Changi_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Singapore_Changi_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Singapore_Changi_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Soekarno–Hatta_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Soekarno–Hatta_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Sulaimaniyah_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Ta’if_Regional_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Tbilisi_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Tehran_Imam_Khomeini_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Tehran_Imam_Khomeini_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Tehran_Imam_Khomeini_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Toronto_Pearson_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Toronto_Pearson_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Toronto_Pearson_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
],
[
"Tripoli_International_Airport",
"isConnectedTo",
"Borg_El_Arab_Airport"
],
[
"Vienna_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Vienna_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Vnukovo_International_Airport",
"isConnectedTo",
"Antalya_Airport"
],
[
"Vnukovo_International_Airport",
"isConnectedTo",
"Esenboğa_International_Airport"
],
[
"Vnukovo_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Washington_Dulles_International_Airport",
"isConnectedTo",
"Istanbul_Atatürk_Airport"
],
[
"Washington_Dulles_International_Airport",
"isConnectedTo",
"King_Abdulaziz_International_Airport"
],
[
"Washington_Dulles_International_Airport",
"isConnectedTo",
"King_Khalid_International_Airport"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
90548, Ambon,_Maluku
33806, Indonesia
12542, Kosovo
79993, NATO_bombing_of_Yugoslavia
57564, Search_for_Common_Ground
99322, wordnet_chemical_114806838
8070, wordnet_fabric_103309808
39354, wordnet_foodstuff_107566340
src, edge_attr, dst
90548, isLocatedIn, 33806
33806, exports, 8070
33806, imports, 99322
33806, imports, 39354
12542, imports, 99322
12542, imports, 8070
12542, imports, 39354
79993, isLocatedIn, 12542
57564, isLocatedIn, 33806
57564, isLocatedIn, 12542
Question: How are Ambon,_Maluku and NATO_bombing_of_Yugoslavia related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ambon,_Maluku",
"NATO_bombing_of_Yugoslavia"
],
"valid_edges": [
[
"Ambon,_Maluku",
"isLocatedIn",
"Indonesia"
],
[
"Indonesia",
"exports",
"wordnet_fabric_103309808"
],
[
"Indonesia",
"imports",
"wordnet_chemical_114806838"
],
[
"Indonesia",
"imports",
"wordnet_foodstuff_107566340"
],
[
"Kosovo",
"imports",
"wordnet_chemical_114806838"
],
[
"Kosovo",
"imports",
"wordnet_fabric_103309808"
],
[
"Kosovo",
"imports",
"wordnet_foodstuff_107566340"
],
[
"NATO_bombing_of_Yugoslavia",
"isLocatedIn",
"Kosovo"
],
[
"Search_for_Common_Ground",
"isLocatedIn",
"Indonesia"
],
[
"Search_for_Common_Ground",
"isLocatedIn",
"Kosovo"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
2463, Jonas_Ogandaga
8511, Marcos_Ramírez_(footballer)
118104, male
src, edge_attr, dst
2463, hasGender, 118104
8511, hasGender, 118104
Question: In what context are Jonas_Ogandaga and Marcos_Ramírez_(footballer) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Jonas_Ogandaga",
"Marcos_Ramírez_(footballer)"
],
"valid_edges": [
[
"Jonas_Ogandaga",
"hasGender",
"male"
],
[
"Marcos_Ramírez_(footballer)",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
4874, Adler_Mannheim
47391, Atlanta_Knights
88897, Binghamton_Rangers
38998, Brad_Tiley
1494, Brian_McReynolds
437, Corey_Hirsch
76630, Darcy_Werenka
93472, Kölner_Haie
105856, Maine_Mariners
104565, Malmö_Redhawks
48975, Mike_Stevens_(ice_hockey)
36608, Milwaukee_Admirals
106475, New_York_Rangers
85099, Peter_Laviolette
28991, Philadelphia_Phantoms
100038, Phoenix_Roadrunners_(IHL)
109420, Shawn_McCosh
8393, Stefan_Majewski
97705, Utah_Grizzlies_(1995–2005)
118104, male
src, edge_attr, dst
38998, hasGender, 118104
38998, isAffiliatedTo, 88897
38998, isAffiliatedTo, 105856
38998, isAffiliatedTo, 36608
38998, isAffiliatedTo, 28991
38998, isAffiliatedTo, 100038
1494, isAffiliatedTo, 47391
1494, isAffiliatedTo, 88897
1494, isAffiliatedTo, 93472
1494, isAffiliatedTo, 104565
1494, isAffiliatedTo, 106475
1494, isAffiliatedTo, 100038
437, hasGender, 118104
437, isAffiliatedTo, 88897
437, isAffiliatedTo, 104565
437, isAffiliatedTo, 36608
437, isAffiliatedTo, 97705
76630, hasGender, 118104
76630, isAffiliatedTo, 47391
76630, isAffiliatedTo, 88897
76630, isAffiliatedTo, 93472
76630, isAffiliatedTo, 97705
48975, isAffiliatedTo, 4874
48975, isAffiliatedTo, 88897
48975, isAffiliatedTo, 105856
85099, hasGender, 118104
85099, isAffiliatedTo, 88897
85099, isAffiliatedTo, 106475
109420, hasGender, 118104
109420, isAffiliatedTo, 4874
109420, isAffiliatedTo, 88897
109420, isAffiliatedTo, 28991
109420, isAffiliatedTo, 100038
8393, hasGender, 118104
Question: In what context are Binghamton_Rangers and Stefan_Majewski connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Binghamton_Rangers",
"Stefan_Majewski"
],
"valid_edges": [
[
"Brad_Tiley",
"hasGender",
"male"
],
[
"Brad_Tiley",
"isAffiliatedTo",
"Binghamton_Rangers"
],
[
"Brad_Tiley",
"isAffiliatedTo",
"Maine_Mariners"
],
[
"Brad_Tiley",
"isAffiliatedTo",
"Milwaukee_Admirals"
],
[
"Brad_Tiley",
"isAffiliatedTo",
"Philadelphia_Phantoms"
],
[
"Brad_Tiley",
"isAffiliatedTo",
"Phoenix_Roadrunners_(IHL)"
],
[
"Brian_McReynolds",
"isAffiliatedTo",
"Atlanta_Knights"
],
[
"Brian_McReynolds",
"isAffiliatedTo",
"Binghamton_Rangers"
],
[
"Brian_McReynolds",
"isAffiliatedTo",
"Kölner_Haie"
],
[
"Brian_McReynolds",
"isAffiliatedTo",
"Malmö_Redhawks"
],
[
"Brian_McReynolds",
"isAffiliatedTo",
"New_York_Rangers"
],
[
"Brian_McReynolds",
"isAffiliatedTo",
"Phoenix_Roadrunners_(IHL)"
],
[
"Corey_Hirsch",
"hasGender",
"male"
],
[
"Corey_Hirsch",
"isAffiliatedTo",
"Binghamton_Rangers"
],
[
"Corey_Hirsch",
"isAffiliatedTo",
"Malmö_Redhawks"
],
[
"Corey_Hirsch",
"isAffiliatedTo",
"Milwaukee_Admirals"
],
[
"Corey_Hirsch",
"isAffiliatedTo",
"Utah_Grizzlies_(1995–2005)"
],
[
"Darcy_Werenka",
"hasGender",
"male"
],
[
"Darcy_Werenka",
"isAffiliatedTo",
"Atlanta_Knights"
],
[
"Darcy_Werenka",
"isAffiliatedTo",
"Binghamton_Rangers"
],
[
"Darcy_Werenka",
"isAffiliatedTo",
"Kölner_Haie"
],
[
"Darcy_Werenka",
"isAffiliatedTo",
"Utah_Grizzlies_(1995–2005)"
],
[
"Mike_Stevens_(ice_hockey)",
"isAffiliatedTo",
"Adler_Mannheim"
],
[
"Mike_Stevens_(ice_hockey)",
"isAffiliatedTo",
"Binghamton_Rangers"
],
[
"Mike_Stevens_(ice_hockey)",
"isAffiliatedTo",
"Maine_Mariners"
],
[
"Peter_Laviolette",
"hasGender",
"male"
],
[
"Peter_Laviolette",
"isAffiliatedTo",
"Binghamton_Rangers"
],
[
"Peter_Laviolette",
"isAffiliatedTo",
"New_York_Rangers"
],
[
"Shawn_McCosh",
"hasGender",
"male"
],
[
"Shawn_McCosh",
"isAffiliatedTo",
"Adler_Mannheim"
],
[
"Shawn_McCosh",
"isAffiliatedTo",
"Binghamton_Rangers"
],
[
"Shawn_McCosh",
"isAffiliatedTo",
"Philadelphia_Phantoms"
],
[
"Shawn_McCosh",
"isAffiliatedTo",
"Phoenix_Roadrunners_(IHL)"
],
[
"Stefan_Majewski",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
87155, 1.F.C._Saarbrücken
41211, Marcel_Rozgonyi
106067, Order_of_Merit_of_the_Federal_Republic_of_Germany
94176, Otto_Rehhagel
9847, Sabah_Al-Ahmad_Al-Jaber_Al-Sabah
src, edge_attr, dst
41211, isAffiliatedTo, 87155
94176, hasWonPrize, 106067
94176, isAffiliatedTo, 87155
9847, hasWonPrize, 106067
Question: For what reason are Marcel_Rozgonyi and Sabah_Al-Ahmad_Al-Jaber_Al-Sabah associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Marcel_Rozgonyi",
"Sabah_Al-Ahmad_Al-Jaber_Al-Sabah"
],
"valid_edges": [
[
"Marcel_Rozgonyi",
"isAffiliatedTo",
"1.F.C._Saarbrücken"
],
[
"Otto_Rehhagel",
"hasWonPrize",
"Order_of_Merit_of_the_Federal_Republic_of_Germany"
],
[
"Otto_Rehhagel",
"isAffiliatedTo",
"1.F.C._Saarbrücken"
],
[
"Sabah_Al-Ahmad_Al-Jaber_Al-Sabah",
"hasWonPrize",
"Order_of_Merit_of_the_Federal_Republic_of_Germany"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
4771, Ahmed_Saad_Osman
28711, Benghazi
48474, Benjamin_Peirce
45378, Libya
29157, United_States
src, edge_attr, dst
4771, wasBornIn, 28711
28711, isLocatedIn, 45378
48474, isCitizenOf, 29157
45378, dealsWith, 29157
Question: How are Ahmed_Saad_Osman and Benjamin_Peirce related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ahmed_Saad_Osman",
"Benjamin_Peirce"
],
"valid_edges": [
[
"Ahmed_Saad_Osman",
"wasBornIn",
"Benghazi"
],
[
"Benghazi",
"isLocatedIn",
"Libya"
],
[
"Benjamin_Peirce",
"isCitizenOf",
"United_States"
],
[
"Libya",
"dealsWith",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
44548, Cristian_Longobardi
34565, Luke_McCormick
15190, Maicol_Berretti
116090, Matteo_Vitaioli
63593, S.S._Real_Montecchio
74298, San_Marino_Calcio
31311, San_Marino_national_football_team
118104, male
src, edge_attr, dst
44548, hasGender, 118104
44548, isAffiliatedTo, 63593
44548, isAffiliatedTo, 74298
44548, playsFor, 63593
44548, playsFor, 74298
34565, hasGender, 118104
15190, hasGender, 118104
15190, isAffiliatedTo, 63593
15190, isAffiliatedTo, 74298
15190, isAffiliatedTo, 31311
15190, playsFor, 63593
15190, playsFor, 74298
15190, playsFor, 31311
116090, hasGender, 118104
116090, isAffiliatedTo, 63593
116090, isAffiliatedTo, 74298
116090, isAffiliatedTo, 31311
116090, playsFor, 63593
116090, playsFor, 74298
116090, playsFor, 31311
Question: For what reason are Luke_McCormick and S.S._Real_Montecchio associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Luke_McCormick",
"S.S._Real_Montecchio"
],
"valid_edges": [
[
"Cristian_Longobardi",
"hasGender",
"male"
],
[
"Cristian_Longobardi",
"isAffiliatedTo",
"S.S._Real_Montecchio"
],
[
"Cristian_Longobardi",
"isAffiliatedTo",
"San_Marino_Calcio"
],
[
"Cristian_Longobardi",
"playsFor",
"S.S._Real_Montecchio"
],
[
"Cristian_Longobardi",
"playsFor",
"San_Marino_Calcio"
],
[
"Luke_McCormick",
"hasGender",
"male"
],
[
"Maicol_Berretti",
"hasGender",
"male"
],
[
"Maicol_Berretti",
"isAffiliatedTo",
"S.S._Real_Montecchio"
],
[
"Maicol_Berretti",
"isAffiliatedTo",
"San_Marino_Calcio"
],
[
"Maicol_Berretti",
"isAffiliatedTo",
"San_Marino_national_football_team"
],
[
"Maicol_Berretti",
"playsFor",
"S.S._Real_Montecchio"
],
[
"Maicol_Berretti",
"playsFor",
"San_Marino_Calcio"
],
[
"Maicol_Berretti",
"playsFor",
"San_Marino_national_football_team"
],
[
"Matteo_Vitaioli",
"hasGender",
"male"
],
[
"Matteo_Vitaioli",
"isAffiliatedTo",
"S.S._Real_Montecchio"
],
[
"Matteo_Vitaioli",
"isAffiliatedTo",
"San_Marino_Calcio"
],
[
"Matteo_Vitaioli",
"isAffiliatedTo",
"San_Marino_national_football_team"
],
[
"Matteo_Vitaioli",
"playsFor",
"S.S._Real_Montecchio"
],
[
"Matteo_Vitaioli",
"playsFor",
"San_Marino_Calcio"
],
[
"Matteo_Vitaioli",
"playsFor",
"San_Marino_national_football_team"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
87292, Aleksandar_Atanacković_(footballer_born_1920)
64764, Branko_Brnović
50664, Branko_Rašović
65125, Damir_Čakar
99025, Dejan_Ognjanović
82799, Dejan_Savićević
39469, Dejan_Vukićević
34229, Dragoljub_Brnović
51876, F.K._Partizan
75283, FK_Budućnost_Podgorica
106536, Fluminense_FC
68403, Ilija_Stolica
99281, Juliano_Roberto_Antonello
58826, Marko_Valok
78551, Marko_Ćetković
11559, Matija_Nastasić
81264, Miodrag_Ješić
39336, Mladen_Božović
12850, Nenad_Brnović
121862, Nikola_Vujović
3090, Niša_Saveljić
20396, Predrag_Mijatović
1266, Risto_Lakić
10893, Rui_Campos
13178, Simon_Vukčević
87616, Srđan_Radonjić
114649, Viktor_Trenevski
src, edge_attr, dst
87292, isAffiliatedTo, 51876
87292, isAffiliatedTo, 75283
64764, isAffiliatedTo, 51876
64764, isAffiliatedTo, 75283
64764, playsFor, 75283
50664, isAffiliatedTo, 51876
50664, isAffiliatedTo, 75283
50664, playsFor, 75283
65125, isAffiliatedTo, 51876
65125, isAffiliatedTo, 75283
65125, playsFor, 75283
99025, isAffiliatedTo, 51876
99025, isAffiliatedTo, 75283
99025, playsFor, 75283
82799, isAffiliatedTo, 51876
82799, isAffiliatedTo, 75283
82799, playsFor, 75283
39469, isAffiliatedTo, 51876
39469, isAffiliatedTo, 75283
39469, playsFor, 75283
34229, isAffiliatedTo, 51876
34229, isAffiliatedTo, 75283
34229, playsFor, 75283
68403, isAffiliatedTo, 51876
68403, isAffiliatedTo, 75283
68403, playsFor, 75283
99281, isAffiliatedTo, 51876
99281, isAffiliatedTo, 106536
99281, playsFor, 106536
58826, isAffiliatedTo, 51876
58826, isAffiliatedTo, 75283
78551, isAffiliatedTo, 51876
78551, isAffiliatedTo, 75283
78551, playsFor, 75283
11559, isAffiliatedTo, 51876
11559, isAffiliatedTo, 75283
81264, isAffiliatedTo, 51876
81264, isAffiliatedTo, 75283
39336, isAffiliatedTo, 51876
39336, isAffiliatedTo, 75283
39336, playsFor, 75283
12850, isAffiliatedTo, 51876
12850, isAffiliatedTo, 75283
12850, playsFor, 75283
121862, isAffiliatedTo, 51876
121862, isAffiliatedTo, 75283
121862, playsFor, 75283
3090, isAffiliatedTo, 51876
3090, isAffiliatedTo, 75283
3090, playsFor, 75283
20396, isAffiliatedTo, 51876
20396, isAffiliatedTo, 75283
20396, playsFor, 75283
1266, isAffiliatedTo, 51876
1266, isAffiliatedTo, 75283
1266, playsFor, 75283
10893, isAffiliatedTo, 106536
10893, playsFor, 106536
13178, isAffiliatedTo, 51876
13178, isAffiliatedTo, 75283
87616, isAffiliatedTo, 51876
87616, isAffiliatedTo, 75283
87616, playsFor, 75283
114649, playsFor, 75283
114649, playsFor, 106536
Question: In what context are Marko_Valok and Rui_Campos connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Marko_Valok",
"Rui_Campos"
],
"valid_edges": [
[
"Aleksandar_Atanacković_(footballer_born_1920)",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Aleksandar_Atanacković_(footballer_born_1920)",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Branko_Brnović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Branko_Brnović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Branko_Brnović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Branko_Rašović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Branko_Rašović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Branko_Rašović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Damir_Čakar",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Damir_Čakar",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Damir_Čakar",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Ognjanović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Dejan_Ognjanović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Ognjanović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Savićević",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Dejan_Savićević",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Savićević",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Vukićević",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Dejan_Vukićević",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Vukićević",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Dragoljub_Brnović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Dragoljub_Brnović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Dragoljub_Brnović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Ilija_Stolica",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Ilija_Stolica",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Ilija_Stolica",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Juliano_Roberto_Antonello",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Juliano_Roberto_Antonello",
"isAffiliatedTo",
"Fluminense_FC"
],
[
"Juliano_Roberto_Antonello",
"playsFor",
"Fluminense_FC"
],
[
"Marko_Valok",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Marko_Valok",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Marko_Ćetković",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Marko_Ćetković",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Marko_Ćetković",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Matija_Nastasić",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Matija_Nastasić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Miodrag_Ješić",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Miodrag_Ješić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Mladen_Božović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Mladen_Božović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Mladen_Božović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Nenad_Brnović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Nenad_Brnović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Nenad_Brnović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Nikola_Vujović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Nikola_Vujović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Nikola_Vujović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Niša_Saveljić",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Niša_Saveljić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Niša_Saveljić",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Predrag_Mijatović",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Predrag_Mijatović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Predrag_Mijatović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Risto_Lakić",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Risto_Lakić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Risto_Lakić",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Rui_Campos",
"isAffiliatedTo",
"Fluminense_FC"
],
[
"Rui_Campos",
"playsFor",
"Fluminense_FC"
],
[
"Simon_Vukčević",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Simon_Vukčević",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Srđan_Radonjić",
"isAffiliatedTo",
"F.K._Partizan"
],
[
"Srđan_Radonjić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Srđan_Radonjić",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Viktor_Trenevski",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Viktor_Trenevski",
"playsFor",
"Fluminense_FC"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
91136, Belgorod
33875, Belgorod_Oblast
90323, Central_Black_Earth_economic_region
112260, Roman_Kontsedalov
69314, Selvin_Zelaya
76403, Stary_Oskol
113998, Valeri_Masalitin
105634, Yevgeny_Postnikov
118104, male
src, edge_attr, dst
91136, isLocatedIn, 33875
91136, isLocatedIn, 90323
33875, hasCapital, 91136
33875, isLocatedIn, 91136
33875, isLocatedIn, 90323
112260, hasGender, 118104
112260, wasBornIn, 91136
69314, hasGender, 118104
76403, isLocatedIn, 33875
76403, isLocatedIn, 90323
113998, hasGender, 118104
113998, wasBornIn, 91136
105634, hasGender, 118104
105634, wasBornIn, 76403
Question: For what reason are Belgorod_Oblast and Selvin_Zelaya associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Belgorod_Oblast",
"Selvin_Zelaya"
],
"valid_edges": [
[
"Belgorod",
"isLocatedIn",
"Belgorod_Oblast"
],
[
"Belgorod",
"isLocatedIn",
"Central_Black_Earth_economic_region"
],
[
"Belgorod_Oblast",
"hasCapital",
"Belgorod"
],
[
"Belgorod_Oblast",
"isLocatedIn",
"Belgorod"
],
[
"Belgorod_Oblast",
"isLocatedIn",
"Central_Black_Earth_economic_region"
],
[
"Roman_Kontsedalov",
"hasGender",
"male"
],
[
"Roman_Kontsedalov",
"wasBornIn",
"Belgorod"
],
[
"Selvin_Zelaya",
"hasGender",
"male"
],
[
"Stary_Oskol",
"isLocatedIn",
"Belgorod_Oblast"
],
[
"Stary_Oskol",
"isLocatedIn",
"Central_Black_Earth_economic_region"
],
[
"Valeri_Masalitin",
"hasGender",
"male"
],
[
"Valeri_Masalitin",
"wasBornIn",
"Belgorod"
],
[
"Yevgeny_Postnikov",
"hasGender",
"male"
],
[
"Yevgeny_Postnikov",
"wasBornIn",
"Stary_Oskol"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
56354, Marc_Fascher
64034, Robert_F._Foley
118104, male
src, edge_attr, dst
56354, hasGender, 118104
64034, hasGender, 118104
Question: In what context are Marc_Fascher and Robert_F._Foley connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Marc_Fascher",
"Robert_F._Foley"
],
"valid_edges": [
[
"Marc_Fascher",
"hasGender",
"male"
],
[
"Robert_F._Foley",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
26690, Aleksandr_Belozyorov
1135, Anatoli_Gerk
116839, Andrei_Gorbanets
64005, Anton_Zhukov
108513, Barthold_Fles
16991, Belgium
58785, Dmitri_Ryzhov
9172, FC_Mordovia_Saransk
20991, FC_Ural_Sverdlovsk_Oblast
10456, Gerson_Acevedo
47280, Oleg_Veretennikov
48682, Pavlo_Stepanets
81200, R.S.C._Anderlecht
70224, Shivering_Shakespeare
61950, Tina_Tchen
29157, United_States
src, edge_attr, dst
26690, isAffiliatedTo, 9172
26690, isAffiliatedTo, 20991
26690, playsFor, 9172
26690, playsFor, 20991
1135, isAffiliatedTo, 9172
1135, isAffiliatedTo, 20991
1135, isAffiliatedTo, 81200
1135, playsFor, 9172
1135, playsFor, 20991
1135, playsFor, 81200
116839, isAffiliatedTo, 20991
116839, playsFor, 9172
116839, playsFor, 20991
64005, playsFor, 9172
64005, playsFor, 20991
108513, isCitizenOf, 29157
108513, playsFor, 20991
16991, dealsWith, 29157
58785, isAffiliatedTo, 9172
58785, isAffiliatedTo, 20991
58785, playsFor, 9172
58785, playsFor, 20991
10456, isAffiliatedTo, 9172
10456, isAffiliatedTo, 20991
10456, playsFor, 9172
10456, playsFor, 20991
47280, isAffiliatedTo, 9172
47280, isAffiliatedTo, 20991
47280, playsFor, 9172
47280, playsFor, 20991
48682, isAffiliatedTo, 9172
48682, isAffiliatedTo, 20991
48682, playsFor, 9172
48682, playsFor, 20991
81200, isLocatedIn, 16991
70224, isLocatedIn, 29157
61950, isCitizenOf, 29157
61950, playsFor, 9172
Question: In what context are Anatoli_Gerk and Shivering_Shakespeare connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Anatoli_Gerk",
"Shivering_Shakespeare"
],
"valid_edges": [
[
"Aleksandr_Belozyorov",
"isAffiliatedTo",
"FC_Mordovia_Saransk"
],
[
"Aleksandr_Belozyorov",
"isAffiliatedTo",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Aleksandr_Belozyorov",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Aleksandr_Belozyorov",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Anatoli_Gerk",
"isAffiliatedTo",
"FC_Mordovia_Saransk"
],
[
"Anatoli_Gerk",
"isAffiliatedTo",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Anatoli_Gerk",
"isAffiliatedTo",
"R.S.C._Anderlecht"
],
[
"Anatoli_Gerk",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Anatoli_Gerk",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Anatoli_Gerk",
"playsFor",
"R.S.C._Anderlecht"
],
[
"Andrei_Gorbanets",
"isAffiliatedTo",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Andrei_Gorbanets",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Andrei_Gorbanets",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Anton_Zhukov",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Anton_Zhukov",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Barthold_Fles",
"isCitizenOf",
"United_States"
],
[
"Barthold_Fles",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Belgium",
"dealsWith",
"United_States"
],
[
"Dmitri_Ryzhov",
"isAffiliatedTo",
"FC_Mordovia_Saransk"
],
[
"Dmitri_Ryzhov",
"isAffiliatedTo",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Dmitri_Ryzhov",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Dmitri_Ryzhov",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Gerson_Acevedo",
"isAffiliatedTo",
"FC_Mordovia_Saransk"
],
[
"Gerson_Acevedo",
"isAffiliatedTo",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Gerson_Acevedo",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Gerson_Acevedo",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Oleg_Veretennikov",
"isAffiliatedTo",
"FC_Mordovia_Saransk"
],
[
"Oleg_Veretennikov",
"isAffiliatedTo",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Oleg_Veretennikov",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Oleg_Veretennikov",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Pavlo_Stepanets",
"isAffiliatedTo",
"FC_Mordovia_Saransk"
],
[
"Pavlo_Stepanets",
"isAffiliatedTo",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"Pavlo_Stepanets",
"playsFor",
"FC_Mordovia_Saransk"
],
[
"Pavlo_Stepanets",
"playsFor",
"FC_Ural_Sverdlovsk_Oblast"
],
[
"R.S.C._Anderlecht",
"isLocatedIn",
"Belgium"
],
[
"Shivering_Shakespeare",
"isLocatedIn",
"United_States"
],
[
"Tina_Tchen",
"isCitizenOf",
"United_States"
],
[
"Tina_Tchen",
"playsFor",
"FC_Mordovia_Saransk"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
39903, Brian_Quailey
70614, Micky_Holmes
83216, Oadby_Town_F.C.
1410, Scott_Rickards
120633, Solihull_Moors_F.C.
src, edge_attr, dst
39903, isAffiliatedTo, 83216
39903, isAffiliatedTo, 120633
39903, playsFor, 83216
39903, playsFor, 120633
70614, isAffiliatedTo, 83216
1410, isAffiliatedTo, 120633
1410, playsFor, 120633
Question: For what reason are Micky_Holmes and Scott_Rickards associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Micky_Holmes",
"Scott_Rickards"
],
"valid_edges": [
[
"Brian_Quailey",
"isAffiliatedTo",
"Oadby_Town_F.C."
],
[
"Brian_Quailey",
"isAffiliatedTo",
"Solihull_Moors_F.C."
],
[
"Brian_Quailey",
"playsFor",
"Oadby_Town_F.C."
],
[
"Brian_Quailey",
"playsFor",
"Solihull_Moors_F.C."
],
[
"Micky_Holmes",
"isAffiliatedTo",
"Oadby_Town_F.C."
],
[
"Scott_Rickards",
"isAffiliatedTo",
"Solihull_Moors_F.C."
],
[
"Scott_Rickards",
"playsFor",
"Solihull_Moors_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
36829, Ely,_Nevada
11214, Hamilton,_Montana
108120, Ravalli_County,_Montana
29157, United_States
101361, White_Pine_County,_Nevada
src, edge_attr, dst
36829, isLocatedIn, 29157
36829, isLocatedIn, 101361
11214, isLocatedIn, 108120
11214, isLocatedIn, 29157
108120, isLocatedIn, 11214
Question: In what context are Ravalli_County,_Montana and White_Pine_County,_Nevada connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ravalli_County,_Montana",
"White_Pine_County,_Nevada"
],
"valid_edges": [
[
"Ely,_Nevada",
"isLocatedIn",
"United_States"
],
[
"Ely,_Nevada",
"isLocatedIn",
"White_Pine_County,_Nevada"
],
[
"Hamilton,_Montana",
"isLocatedIn",
"Ravalli_County,_Montana"
],
[
"Hamilton,_Montana",
"isLocatedIn",
"United_States"
],
[
"Ravalli_County,_Montana",
"isLocatedIn",
"Hamilton,_Montana"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
41369, Eugene_Wigner
67492, John_Bardeen
44713, Lehrte
22715, Lower_Saxony
95526, University_of_Göttingen
108234, University_of_Wisconsin–Madison
src, edge_attr, dst
41369, worksAt, 95526
41369, worksAt, 108234
67492, graduatedFrom, 108234
67492, hasAcademicAdvisor, 41369
44713, isLocatedIn, 22715
95526, isLocatedIn, 22715
Question: In what context are John_Bardeen and Lehrte connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"John_Bardeen",
"Lehrte"
],
"valid_edges": [
[
"Eugene_Wigner",
"worksAt",
"University_of_Göttingen"
],
[
"Eugene_Wigner",
"worksAt",
"University_of_Wisconsin–Madison"
],
[
"John_Bardeen",
"graduatedFrom",
"University_of_Wisconsin–Madison"
],
[
"John_Bardeen",
"hasAcademicAdvisor",
"Eugene_Wigner"
],
[
"Lehrte",
"isLocatedIn",
"Lower_Saxony"
],
[
"University_of_Göttingen",
"isLocatedIn",
"Lower_Saxony"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
64849, Ecuador
64659, Galo_Plaza
22328, Gian-Carlo_Rota
18656, José_Francisco_Cevallos
11559, Matija_Nastasić
29075, Rafael_Correa
117320, Zamora-Chinchipe_Province
118104, male
src, edge_attr, dst
64659, hasGender, 118104
64659, isCitizenOf, 64849
64659, isPoliticianOf, 64849
22328, hasGender, 118104
22328, livesIn, 64849
18656, hasGender, 118104
18656, isPoliticianOf, 64849
11559, hasGender, 118104
29075, hasGender, 118104
29075, isLeaderOf, 64849
29075, isPoliticianOf, 64849
117320, isLocatedIn, 64849
Question: How are Matija_Nastasić and Zamora-Chinchipe_Province related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Matija_Nastasić",
"Zamora-Chinchipe_Province"
],
"valid_edges": [
[
"Galo_Plaza",
"hasGender",
"male"
],
[
"Galo_Plaza",
"isCitizenOf",
"Ecuador"
],
[
"Galo_Plaza",
"isPoliticianOf",
"Ecuador"
],
[
"Gian-Carlo_Rota",
"hasGender",
"male"
],
[
"Gian-Carlo_Rota",
"livesIn",
"Ecuador"
],
[
"José_Francisco_Cevallos",
"hasGender",
"male"
],
[
"José_Francisco_Cevallos",
"isPoliticianOf",
"Ecuador"
],
[
"Matija_Nastasić",
"hasGender",
"male"
],
[
"Rafael_Correa",
"hasGender",
"male"
],
[
"Rafael_Correa",
"isLeaderOf",
"Ecuador"
],
[
"Rafael_Correa",
"isPoliticianOf",
"Ecuador"
],
[
"Zamora-Chinchipe_Province",
"isLocatedIn",
"Ecuador"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
36915, Daniel_Jensen
106715, Kasper_Jensen
30793, Massimo_Borgobello
122803, Novara_Calcio
52238, SønderjyskE
src, edge_attr, dst
36915, isAffiliatedTo, 122803
36915, isAffiliatedTo, 52238
36915, playsFor, 122803
36915, playsFor, 52238
106715, isAffiliatedTo, 52238
106715, playsFor, 52238
30793, isAffiliatedTo, 122803
30793, playsFor, 122803
Question: How are Kasper_Jensen and Massimo_Borgobello related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Kasper_Jensen",
"Massimo_Borgobello"
],
"valid_edges": [
[
"Daniel_Jensen",
"isAffiliatedTo",
"Novara_Calcio"
],
[
"Daniel_Jensen",
"isAffiliatedTo",
"SønderjyskE"
],
[
"Daniel_Jensen",
"playsFor",
"Novara_Calcio"
],
[
"Daniel_Jensen",
"playsFor",
"SønderjyskE"
],
[
"Kasper_Jensen",
"isAffiliatedTo",
"SønderjyskE"
],
[
"Kasper_Jensen",
"playsFor",
"SønderjyskE"
],
[
"Massimo_Borgobello",
"isAffiliatedTo",
"Novara_Calcio"
],
[
"Massimo_Borgobello",
"playsFor",
"Novara_Calcio"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
4762, Haeju
121674, Kim_Il-sung
64589, Kim_Jong-il
34153, Kim_Jong-un
95555, Nelson_Riddle
58467, North_Korea
19611, South_Hwanghae_Province
82590, South_Korea
119592, Syngman_Rhee
118104, male
src, edge_attr, dst
4762, isLocatedIn, 58467
4762, isLocatedIn, 19611
121674, hasGender, 118104
121674, isCitizenOf, 58467
121674, isLeaderOf, 58467
64589, hasGender, 118104
64589, isLeaderOf, 58467
34153, hasGender, 118104
34153, isLeaderOf, 58467
95555, hasGender, 118104
58467, dealsWith, 82590
58467, hasNeighbor, 82590
19611, hasCapital, 4762
19611, isLocatedIn, 58467
82590, hasNeighbor, 58467
119592, hasGender, 118104
119592, isPoliticianOf, 82590
119592, wasBornIn, 4762
Question: In what context are Haeju and Nelson_Riddle connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Haeju",
"Nelson_Riddle"
],
"valid_edges": [
[
"Haeju",
"isLocatedIn",
"North_Korea"
],
[
"Haeju",
"isLocatedIn",
"South_Hwanghae_Province"
],
[
"Kim_Il-sung",
"hasGender",
"male"
],
[
"Kim_Il-sung",
"isCitizenOf",
"North_Korea"
],
[
"Kim_Il-sung",
"isLeaderOf",
"North_Korea"
],
[
"Kim_Jong-il",
"hasGender",
"male"
],
[
"Kim_Jong-il",
"isLeaderOf",
"North_Korea"
],
[
"Kim_Jong-un",
"hasGender",
"male"
],
[
"Kim_Jong-un",
"isLeaderOf",
"North_Korea"
],
[
"Nelson_Riddle",
"hasGender",
"male"
],
[
"North_Korea",
"dealsWith",
"South_Korea"
],
[
"North_Korea",
"hasNeighbor",
"South_Korea"
],
[
"South_Hwanghae_Province",
"hasCapital",
"Haeju"
],
[
"South_Hwanghae_Province",
"isLocatedIn",
"North_Korea"
],
[
"South_Korea",
"hasNeighbor",
"North_Korea"
],
[
"Syngman_Rhee",
"hasGender",
"male"
],
[
"Syngman_Rhee",
"isPoliticianOf",
"South_Korea"
],
[
"Syngman_Rhee",
"wasBornIn",
"Haeju"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
30181, Alice_Munro
47267, Barbara_Amiel
108086, Canada
107850, Chris_Charlton
47076, Deepa_Mehta
43235, Elizabeth_II
46725, Emőke_Szathmáry
89171, Janette_Oke
84288, Karen_Stintz
53026, Kim_Campbell
76355, Lisa_Feldman_Barrett
49449, Margaret_Atwood
47950, Margaret_J._Osler
66065, Neelie_Kroes
73842, Nicole_Oliver
72532, Roselyne_Bachelot
74107, Shaw_Communications
108912, Stephanie_Savage
29915, Tabitha_St._Germain
80384, female
src, edge_attr, dst
30181, hasGender, 80384
30181, isCitizenOf, 108086
47267, hasGender, 80384
47267, livesIn, 108086
108086, participatedIn, 66065
107850, hasGender, 80384
107850, isCitizenOf, 108086
47076, hasGender, 80384
47076, livesIn, 108086
43235, hasGender, 80384
43235, isLeaderOf, 108086
46725, hasGender, 80384
46725, isCitizenOf, 108086
89171, hasGender, 80384
89171, isCitizenOf, 108086
84288, hasGender, 80384
84288, livesIn, 108086
53026, hasGender, 80384
53026, isPoliticianOf, 108086
76355, hasGender, 80384
76355, isCitizenOf, 108086
49449, hasGender, 80384
49449, isCitizenOf, 108086
47950, hasGender, 80384
47950, isCitizenOf, 108086
47950, livesIn, 108086
66065, hasGender, 80384
73842, hasGender, 80384
73842, livesIn, 108086
72532, hasGender, 80384
74107, isLocatedIn, 108086
108912, hasGender, 80384
108912, isCitizenOf, 108086
29915, hasGender, 80384
29915, livesIn, 108086
Question: In what context are Roselyne_Bachelot and Shaw_Communications connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Roselyne_Bachelot",
"Shaw_Communications"
],
"valid_edges": [
[
"Alice_Munro",
"hasGender",
"female"
],
[
"Alice_Munro",
"isCitizenOf",
"Canada"
],
[
"Barbara_Amiel",
"hasGender",
"female"
],
[
"Barbara_Amiel",
"livesIn",
"Canada"
],
[
"Canada",
"participatedIn",
"Neelie_Kroes"
],
[
"Chris_Charlton",
"hasGender",
"female"
],
[
"Chris_Charlton",
"isCitizenOf",
"Canada"
],
[
"Deepa_Mehta",
"hasGender",
"female"
],
[
"Deepa_Mehta",
"livesIn",
"Canada"
],
[
"Elizabeth_II",
"hasGender",
"female"
],
[
"Elizabeth_II",
"isLeaderOf",
"Canada"
],
[
"Emőke_Szathmáry",
"hasGender",
"female"
],
[
"Emőke_Szathmáry",
"isCitizenOf",
"Canada"
],
[
"Janette_Oke",
"hasGender",
"female"
],
[
"Janette_Oke",
"isCitizenOf",
"Canada"
],
[
"Karen_Stintz",
"hasGender",
"female"
],
[
"Karen_Stintz",
"livesIn",
"Canada"
],
[
"Kim_Campbell",
"hasGender",
"female"
],
[
"Kim_Campbell",
"isPoliticianOf",
"Canada"
],
[
"Lisa_Feldman_Barrett",
"hasGender",
"female"
],
[
"Lisa_Feldman_Barrett",
"isCitizenOf",
"Canada"
],
[
"Margaret_Atwood",
"hasGender",
"female"
],
[
"Margaret_Atwood",
"isCitizenOf",
"Canada"
],
[
"Margaret_J._Osler",
"hasGender",
"female"
],
[
"Margaret_J._Osler",
"isCitizenOf",
"Canada"
],
[
"Margaret_J._Osler",
"livesIn",
"Canada"
],
[
"Neelie_Kroes",
"hasGender",
"female"
],
[
"Nicole_Oliver",
"hasGender",
"female"
],
[
"Nicole_Oliver",
"livesIn",
"Canada"
],
[
"Roselyne_Bachelot",
"hasGender",
"female"
],
[
"Shaw_Communications",
"isLocatedIn",
"Canada"
],
[
"Stephanie_Savage",
"hasGender",
"female"
],
[
"Stephanie_Savage",
"isCitizenOf",
"Canada"
],
[
"Tabitha_St._Germain",
"hasGender",
"female"
],
[
"Tabitha_St._Germain",
"livesIn",
"Canada"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
68098, Air_Nelson
32330, Auckland_Airport
39824, Dunedin_International_Airport
81062, Ed_Wood_(film)
74014, Hawke's_Bay_Airport
48736, Kapiti_Coast_Airport
100196, Nelson_Airport_(New_Zealand)
32539, New_Plymouth_Airport
114482, New_Zealand
105016, Palmerston_North_International_Airport
56599, Rotorua_International_Airport
54383, Tauranga_Airport
29157, United_States
49770, Wellington_International_Airport
src, edge_attr, dst
68098, isLocatedIn, 32330
68098, isLocatedIn, 100196
32330, isConnectedTo, 39824
32330, isConnectedTo, 74014
32330, isConnectedTo, 48736
32330, isConnectedTo, 100196
32330, isConnectedTo, 32539
32330, isConnectedTo, 105016
32330, isConnectedTo, 56599
32330, isConnectedTo, 54383
32330, isConnectedTo, 49770
32330, isLocatedIn, 114482
39824, isConnectedTo, 32330
39824, isConnectedTo, 49770
81062, isLocatedIn, 29157
74014, isConnectedTo, 32330
74014, isConnectedTo, 49770
48736, isConnectedTo, 32330
48736, isConnectedTo, 100196
48736, isConnectedTo, 49770
100196, isConnectedTo, 32330
100196, isConnectedTo, 48736
100196, isConnectedTo, 105016
100196, isConnectedTo, 49770
32539, isConnectedTo, 32330
32539, isConnectedTo, 49770
114482, dealsWith, 29157
105016, isConnectedTo, 32330
105016, isConnectedTo, 100196
56599, isConnectedTo, 32330
56599, isConnectedTo, 49770
54383, isConnectedTo, 32330
54383, isConnectedTo, 49770
49770, isConnectedTo, 32330
49770, isConnectedTo, 39824
49770, isConnectedTo, 74014
49770, isConnectedTo, 48736
49770, isConnectedTo, 100196
49770, isConnectedTo, 32539
49770, isConnectedTo, 105016
49770, isConnectedTo, 56599
49770, isConnectedTo, 54383
Question: In what context are Ed_Wood_(film) and Palmerston_North_International_Airport connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Ed_Wood_(film)",
"Palmerston_North_International_Airport"
],
"valid_edges": [
[
"Air_Nelson",
"isLocatedIn",
"Auckland_Airport"
],
[
"Air_Nelson",
"isLocatedIn",
"Nelson_Airport_(New_Zealand)"
],
[
"Auckland_Airport",
"isConnectedTo",
"Dunedin_International_Airport"
],
[
"Auckland_Airport",
"isConnectedTo",
"Hawke's_Bay_Airport"
],
[
"Auckland_Airport",
"isConnectedTo",
"Kapiti_Coast_Airport"
],
[
"Auckland_Airport",
"isConnectedTo",
"Nelson_Airport_(New_Zealand)"
],
[
"Auckland_Airport",
"isConnectedTo",
"New_Plymouth_Airport"
],
[
"Auckland_Airport",
"isConnectedTo",
"Palmerston_North_International_Airport"
],
[
"Auckland_Airport",
"isConnectedTo",
"Rotorua_International_Airport"
],
[
"Auckland_Airport",
"isConnectedTo",
"Tauranga_Airport"
],
[
"Auckland_Airport",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"Auckland_Airport",
"isLocatedIn",
"New_Zealand"
],
[
"Dunedin_International_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"Dunedin_International_Airport",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"Ed_Wood_(film)",
"isLocatedIn",
"United_States"
],
[
"Hawke's_Bay_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"Hawke's_Bay_Airport",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"Kapiti_Coast_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"Kapiti_Coast_Airport",
"isConnectedTo",
"Nelson_Airport_(New_Zealand)"
],
[
"Kapiti_Coast_Airport",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"Nelson_Airport_(New_Zealand)",
"isConnectedTo",
"Auckland_Airport"
],
[
"Nelson_Airport_(New_Zealand)",
"isConnectedTo",
"Kapiti_Coast_Airport"
],
[
"Nelson_Airport_(New_Zealand)",
"isConnectedTo",
"Palmerston_North_International_Airport"
],
[
"Nelson_Airport_(New_Zealand)",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"New_Plymouth_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"New_Plymouth_Airport",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"New_Zealand",
"dealsWith",
"United_States"
],
[
"Palmerston_North_International_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"Palmerston_North_International_Airport",
"isConnectedTo",
"Nelson_Airport_(New_Zealand)"
],
[
"Rotorua_International_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"Rotorua_International_Airport",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"Tauranga_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"Tauranga_Airport",
"isConnectedTo",
"Wellington_International_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Auckland_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Dunedin_International_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Hawke's_Bay_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Kapiti_Coast_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Nelson_Airport_(New_Zealand)"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"New_Plymouth_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Palmerston_North_International_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Rotorua_International_Airport"
],
[
"Wellington_International_Airport",
"isConnectedTo",
"Tauranga_Airport"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
114111, A._J._John,_Anaparambil
117853, A._R._Rahman
121489, Ajith_Kumar
16990, Arya_(actor)
13397, C._Rajagopalachari
3347, Delhi_Ganesh
4481, Fernando_Varela_Ramos
6320, J._Mahendran
94188, Karunanidhi
110709, M._G._Ramachandran
110976, Mansoor_Khan
114153, Napoleon_(actor)
63181, P._Subbarayan
122268, Pandiarajan
20901, Prakash_Raj
76302, R._Sarathkumar
79237, Radha_Mohan
109281, Sabu_Cyril
87235, Shankar_(director)
17419, Srinivasa_Ramanujan
43659, Tamil_Nadu
107245, Tirunelveli
118104, male
src, edge_attr, dst
114111, hasGender, 118104
114111, isPoliticianOf, 43659
117853, hasGender, 118104
117853, livesIn, 43659
121489, hasGender, 118104
121489, livesIn, 43659
16990, hasGender, 118104
16990, livesIn, 43659
13397, hasGender, 118104
13397, isPoliticianOf, 43659
3347, hasGender, 118104
3347, wasBornIn, 107245
4481, hasGender, 118104
6320, hasGender, 118104
6320, livesIn, 43659
94188, hasGender, 118104
94188, isPoliticianOf, 43659
94188, livesIn, 43659
110709, hasGender, 118104
110709, isPoliticianOf, 43659
110976, hasGender, 118104
110976, livesIn, 43659
114153, hasGender, 118104
114153, livesIn, 43659
63181, hasGender, 118104
63181, isPoliticianOf, 43659
122268, hasGender, 118104
122268, livesIn, 43659
20901, hasGender, 118104
20901, livesIn, 43659
76302, hasGender, 118104
76302, livesIn, 43659
79237, hasGender, 118104
79237, livesIn, 43659
109281, hasGender, 118104
109281, livesIn, 43659
87235, hasGender, 118104
87235, livesIn, 43659
17419, hasGender, 118104
17419, livesIn, 43659
107245, isLocatedIn, 43659
Question: For what reason are Fernando_Varela_Ramos and Tirunelveli associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Fernando_Varela_Ramos",
"Tirunelveli"
],
"valid_edges": [
[
"A._J._John,_Anaparambil",
"hasGender",
"male"
],
[
"A._J._John,_Anaparambil",
"isPoliticianOf",
"Tamil_Nadu"
],
[
"A._R._Rahman",
"hasGender",
"male"
],
[
"A._R._Rahman",
"livesIn",
"Tamil_Nadu"
],
[
"Ajith_Kumar",
"hasGender",
"male"
],
[
"Ajith_Kumar",
"livesIn",
"Tamil_Nadu"
],
[
"Arya_(actor)",
"hasGender",
"male"
],
[
"Arya_(actor)",
"livesIn",
"Tamil_Nadu"
],
[
"C._Rajagopalachari",
"hasGender",
"male"
],
[
"C._Rajagopalachari",
"isPoliticianOf",
"Tamil_Nadu"
],
[
"Delhi_Ganesh",
"hasGender",
"male"
],
[
"Delhi_Ganesh",
"wasBornIn",
"Tirunelveli"
],
[
"Fernando_Varela_Ramos",
"hasGender",
"male"
],
[
"J._Mahendran",
"hasGender",
"male"
],
[
"J._Mahendran",
"livesIn",
"Tamil_Nadu"
],
[
"Karunanidhi",
"hasGender",
"male"
],
[
"Karunanidhi",
"isPoliticianOf",
"Tamil_Nadu"
],
[
"Karunanidhi",
"livesIn",
"Tamil_Nadu"
],
[
"M._G._Ramachandran",
"hasGender",
"male"
],
[
"M._G._Ramachandran",
"isPoliticianOf",
"Tamil_Nadu"
],
[
"Mansoor_Khan",
"hasGender",
"male"
],
[
"Mansoor_Khan",
"livesIn",
"Tamil_Nadu"
],
[
"Napoleon_(actor)",
"hasGender",
"male"
],
[
"Napoleon_(actor)",
"livesIn",
"Tamil_Nadu"
],
[
"P._Subbarayan",
"hasGender",
"male"
],
[
"P._Subbarayan",
"isPoliticianOf",
"Tamil_Nadu"
],
[
"Pandiarajan",
"hasGender",
"male"
],
[
"Pandiarajan",
"livesIn",
"Tamil_Nadu"
],
[
"Prakash_Raj",
"hasGender",
"male"
],
[
"Prakash_Raj",
"livesIn",
"Tamil_Nadu"
],
[
"R._Sarathkumar",
"hasGender",
"male"
],
[
"R._Sarathkumar",
"livesIn",
"Tamil_Nadu"
],
[
"Radha_Mohan",
"hasGender",
"male"
],
[
"Radha_Mohan",
"livesIn",
"Tamil_Nadu"
],
[
"Sabu_Cyril",
"hasGender",
"male"
],
[
"Sabu_Cyril",
"livesIn",
"Tamil_Nadu"
],
[
"Shankar_(director)",
"hasGender",
"male"
],
[
"Shankar_(director)",
"livesIn",
"Tamil_Nadu"
],
[
"Srinivasa_Ramanujan",
"hasGender",
"male"
],
[
"Srinivasa_Ramanujan",
"livesIn",
"Tamil_Nadu"
],
[
"Tirunelveli",
"isLocatedIn",
"Tamil_Nadu"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
25602, Cadillac_Anderson
88633, Devendra_Banhart
91631, Emin_Ismajli
8361, Houston
60115, SV_Waldhof_Mannheim
src, edge_attr, dst
25602, wasBornIn, 8361
88633, playsFor, 60115
88633, wasBornIn, 8361
91631, isAffiliatedTo, 60115
91631, playsFor, 60115
Question: How are Cadillac_Anderson and Emin_Ismajli related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Cadillac_Anderson",
"Emin_Ismajli"
],
"valid_edges": [
[
"Cadillac_Anderson",
"wasBornIn",
"Houston"
],
[
"Devendra_Banhart",
"playsFor",
"SV_Waldhof_Mannheim"
],
[
"Devendra_Banhart",
"wasBornIn",
"Houston"
],
[
"Emin_Ismajli",
"isAffiliatedTo",
"SV_Waldhof_Mannheim"
],
[
"Emin_Ismajli",
"playsFor",
"SV_Waldhof_Mannheim"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
79327, Adélaïde_Dufrénoy
79457, Coquimbo_Unido
105550, Germán_Leonforte
93416, Louis_de_Funès
106320, Nantes
src, edge_attr, dst
79327, playsFor, 79457
79327, wasBornIn, 106320
105550, isAffiliatedTo, 79457
105550, playsFor, 79457
93416, diedIn, 106320
Question: In what context are Germán_Leonforte and Louis_de_Funès connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Germán_Leonforte",
"Louis_de_Funès"
],
"valid_edges": [
[
"Adélaïde_Dufrénoy",
"playsFor",
"Coquimbo_Unido"
],
[
"Adélaïde_Dufrénoy",
"wasBornIn",
"Nantes"
],
[
"Germán_Leonforte",
"isAffiliatedTo",
"Coquimbo_Unido"
],
[
"Germán_Leonforte",
"playsFor",
"Coquimbo_Unido"
],
[
"Louis_de_Funès",
"diedIn",
"Nantes"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
54540, Estonia
111744, Europe
60902, Haapsalu
94817, Madrid
113, Raúl_de_Tomás
src, edge_attr, dst
54540, isLocatedIn, 111744
60902, isLocatedIn, 54540
94817, isLocatedIn, 111744
113, wasBornIn, 94817
Question: For what reason are Haapsalu and Raúl_de_Tomás associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Haapsalu",
"Raúl_de_Tomás"
],
"valid_edges": [
[
"Estonia",
"isLocatedIn",
"Europe"
],
[
"Haapsalu",
"isLocatedIn",
"Estonia"
],
[
"Madrid",
"isLocatedIn",
"Europe"
],
[
"Raúl_de_Tomás",
"wasBornIn",
"Madrid"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
47763, British_Columbia
108086, Canada
38750, Chetwynd,_British_Columbia
114647, Dawson_Creek
26923, Eva_Marie_Saint
5308, Peace_River_Regional_District
106760, Titanic_(1996_TV_miniseries)
src, edge_attr, dst
47763, isLocatedIn, 108086
38750, isLocatedIn, 47763
38750, isLocatedIn, 5308
114647, isLocatedIn, 47763
114647, isLocatedIn, 5308
26923, actedIn, 106760
5308, isLocatedIn, 47763
106760, isLocatedIn, 108086
Question: For what reason are Chetwynd,_British_Columbia and Eva_Marie_Saint associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Chetwynd,_British_Columbia",
"Eva_Marie_Saint"
],
"valid_edges": [
[
"British_Columbia",
"isLocatedIn",
"Canada"
],
[
"Chetwynd,_British_Columbia",
"isLocatedIn",
"British_Columbia"
],
[
"Chetwynd,_British_Columbia",
"isLocatedIn",
"Peace_River_Regional_District"
],
[
"Dawson_Creek",
"isLocatedIn",
"British_Columbia"
],
[
"Dawson_Creek",
"isLocatedIn",
"Peace_River_Regional_District"
],
[
"Eva_Marie_Saint",
"actedIn",
"Titanic_(1996_TV_miniseries)"
],
[
"Peace_River_Regional_District",
"isLocatedIn",
"British_Columbia"
],
[
"Titanic_(1996_TV_miniseries)",
"isLocatedIn",
"Canada"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
4796, Alan_Ball_(screenwriter)
108344, Alexander_H._Stephens
60828, Allen_West_(politician)
69204, André_3000
95074, Atlanta
81398, Ben_Lyon
104743, Blake_Wagner
27214, Calder_Willingham
77210, Carl_Epting_Mundy,_Jr.
49598, CeeLo_Green
96333, Chris_Mahaffey
110817, Chris_Morris_(basketball)
80934, Chris_Tucker
85172, Chuck_Evans_(basketball)
90687, Clint_Lowery
3521, Craig_Lucas
116986, Daniel_J._Boorstin
15037, David_Cross
35184, David_D._McKiernan
8424, DeKalb_County,_Georgia
119698, DeKalb_County_(Georgia)
51459, Decatur,_Georgia
51920, Dyron_Nix
36242, Georgia_(U.S._state)
26790, Gregory_Abowd
68637, Harold_Ellis_(basketball)
4397, Jabari_Smith
54308, James_A._Moore
25497, James_Brown
121933, Jason_Smith_(soccer)
54835, Javaris_Crittenton
69099, Jean-Marc_Pelletier
8995, Jeremy_Tolleson
74545, Jermareo_Davidson
116618, Jerry_Reed
98332, Jim_Fox_(basketball)
73378, Joe_South
11850, Joel_Chandler_Harris
71840, Joseph_Forte
86142, Joseph_M._Pettit
77814, Justin_Moore_(soccer)
11995, Kanye_West
37104, Kip_Pardue
79086, Kyle_Martino
87162, Lamar_Trotti
103387, Lee_Tracy
24896, Lil_Jon
24013, Mark_Mowers
68330, Martin_Luther_King,_Jr.
104049, Marv_Tarplin
36557, Matt_Reis
26012, Maurice_Hughes
96905, Max_Cleland
42790, Michael_Stipe
49143, Mike_Mitchell_(basketball,_born_1956)
4190, Morgan_Rose
45668, Nipsey_Russell
43209, Owen_W._Siler
48520, Pat_Conroy
51690, Polow_da_Don
63850, Reggie_Johnson_(basketball)
50632, Ricardo_Clark
30766, Rob_Redding
36699, Roy_D._Bridges,_Jr.
26397, Sam_Cronin
18358, Scott_Wilson_(actor)
99504, Sean_Garrett
91093, Sean_Price
9218, Sedale_Threatt
114047, Spike_Lee
12251, Stanley_Cavell
9187, Stephen_Dorff
80264, Steve_Whitmire
14377, Steven_C._Miller
12974, Steven_Soderbergh
105608, T.I.
50319, The-Dream
33184, Tucker_Max
29157, United_States
22025, W._E._B._Du_Bois
58893, W._Keith_Edwards
28669, Will_Wright_(game_designer)
65024, William_Augustus_Edwards
2029, William_de_Alburwyke
46186, Yung_Joc
56641, Zach_Kirby
118104, male
src, edge_attr, dst
4796, hasGender, 118104
4796, wasBornIn, 95074
108344, diedIn, 95074
108344, hasGender, 118104
60828, hasGender, 118104
60828, wasBornIn, 95074
69204, hasGender, 118104
69204, wasBornIn, 95074
95074, isLocatedIn, 8424
95074, isLocatedIn, 119698
95074, isLocatedIn, 36242
95074, isLocatedIn, 29157
81398, hasGender, 118104
81398, wasBornIn, 95074
104743, hasGender, 118104
104743, wasBornIn, 95074
27214, hasGender, 118104
27214, wasBornIn, 95074
77210, hasGender, 118104
77210, wasBornIn, 95074
49598, hasGender, 118104
49598, wasBornIn, 95074
96333, hasGender, 118104
96333, wasBornIn, 95074
110817, hasGender, 118104
110817, wasBornIn, 95074
80934, hasGender, 118104
80934, wasBornIn, 95074
85172, hasGender, 118104
85172, wasBornIn, 95074
90687, hasGender, 118104
90687, wasBornIn, 95074
3521, hasGender, 118104
3521, wasBornIn, 95074
116986, hasGender, 118104
116986, wasBornIn, 95074
15037, hasGender, 118104
15037, wasBornIn, 95074
35184, hasGender, 118104
35184, wasBornIn, 95074
119698, isLocatedIn, 51459
51459, isLocatedIn, 8424
51459, isLocatedIn, 119698
51459, isLocatedIn, 36242
51459, isLocatedIn, 29157
51920, diedIn, 95074
51920, hasGender, 118104
36242, hasCapital, 95074
26790, hasGender, 118104
26790, livesIn, 95074
68637, hasGender, 118104
68637, wasBornIn, 95074
4397, hasGender, 118104
4397, wasBornIn, 95074
54308, hasGender, 118104
54308, wasBornIn, 95074
25497, diedIn, 95074
25497, hasGender, 118104
121933, hasGender, 118104
121933, wasBornIn, 95074
54835, hasGender, 118104
54835, wasBornIn, 95074
69099, hasGender, 118104
69099, wasBornIn, 95074
8995, hasGender, 118104
8995, wasBornIn, 95074
74545, hasGender, 118104
74545, wasBornIn, 95074
116618, hasGender, 118104
116618, wasBornIn, 95074
98332, hasGender, 118104
98332, wasBornIn, 95074
73378, hasGender, 118104
73378, wasBornIn, 95074
11850, diedIn, 95074
11850, hasGender, 118104
71840, hasGender, 118104
71840, wasBornIn, 95074
86142, diedIn, 95074
86142, hasGender, 118104
77814, hasGender, 118104
77814, wasBornIn, 51459
11995, hasGender, 118104
11995, wasBornIn, 95074
37104, hasGender, 118104
37104, wasBornIn, 95074
79086, hasGender, 118104
79086, wasBornIn, 95074
87162, hasGender, 118104
87162, wasBornIn, 95074
103387, hasGender, 118104
103387, wasBornIn, 95074
24896, hasGender, 118104
24896, wasBornIn, 95074
24013, hasGender, 118104
24013, wasBornIn, 51459
68330, hasGender, 118104
68330, wasBornIn, 95074
104049, hasGender, 118104
104049, wasBornIn, 95074
36557, hasGender, 118104
36557, wasBornIn, 95074
26012, hasGender, 118104
26012, wasBornIn, 95074
96905, hasGender, 118104
96905, wasBornIn, 95074
42790, hasGender, 118104
42790, wasBornIn, 51459
49143, hasGender, 118104
49143, wasBornIn, 95074
4190, hasGender, 118104
4190, wasBornIn, 95074
45668, hasGender, 118104
45668, wasBornIn, 95074
43209, diedIn, 95074
43209, hasGender, 118104
48520, hasGender, 118104
48520, wasBornIn, 95074
51690, hasGender, 118104
51690, wasBornIn, 95074
63850, hasGender, 118104
63850, wasBornIn, 95074
50632, hasGender, 118104
50632, wasBornIn, 95074
30766, hasGender, 118104
30766, wasBornIn, 95074
36699, hasGender, 118104
36699, wasBornIn, 95074
26397, hasGender, 118104
26397, wasBornIn, 95074
18358, hasGender, 118104
18358, wasBornIn, 95074
99504, hasGender, 118104
99504, wasBornIn, 95074
91093, hasGender, 118104
91093, wasBornIn, 95074
9218, hasGender, 118104
9218, wasBornIn, 95074
114047, hasGender, 118104
114047, wasBornIn, 95074
12251, hasGender, 118104
12251, wasBornIn, 95074
9187, hasGender, 118104
9187, wasBornIn, 95074
80264, hasGender, 118104
80264, wasBornIn, 95074
14377, hasGender, 118104
14377, wasBornIn, 51459
12974, hasGender, 118104
12974, wasBornIn, 95074
105608, hasGender, 118104
105608, wasBornIn, 95074
50319, hasGender, 118104
50319, wasBornIn, 95074
33184, hasGender, 118104
33184, wasBornIn, 95074
22025, hasGender, 118104
22025, livesIn, 95074
58893, hasGender, 118104
58893, livesIn, 95074
28669, hasGender, 118104
28669, wasBornIn, 95074
65024, diedIn, 95074
65024, hasGender, 118104
2029, hasGender, 118104
46186, hasGender, 118104
46186, wasBornIn, 95074
56641, hasGender, 118104
56641, wasBornIn, 95074
Question: For what reason are DeKalb_County_(Georgia) and William_de_Alburwyke associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"DeKalb_County_(Georgia)",
"William_de_Alburwyke"
],
"valid_edges": [
[
"Alan_Ball_(screenwriter)",
"hasGender",
"male"
],
[
"Alan_Ball_(screenwriter)",
"wasBornIn",
"Atlanta"
],
[
"Alexander_H._Stephens",
"diedIn",
"Atlanta"
],
[
"Alexander_H._Stephens",
"hasGender",
"male"
],
[
"Allen_West_(politician)",
"hasGender",
"male"
],
[
"Allen_West_(politician)",
"wasBornIn",
"Atlanta"
],
[
"André_3000",
"hasGender",
"male"
],
[
"André_3000",
"wasBornIn",
"Atlanta"
],
[
"Atlanta",
"isLocatedIn",
"DeKalb_County,_Georgia"
],
[
"Atlanta",
"isLocatedIn",
"DeKalb_County_(Georgia)"
],
[
"Atlanta",
"isLocatedIn",
"Georgia_(U.S._state)"
],
[
"Atlanta",
"isLocatedIn",
"United_States"
],
[
"Ben_Lyon",
"hasGender",
"male"
],
[
"Ben_Lyon",
"wasBornIn",
"Atlanta"
],
[
"Blake_Wagner",
"hasGender",
"male"
],
[
"Blake_Wagner",
"wasBornIn",
"Atlanta"
],
[
"Calder_Willingham",
"hasGender",
"male"
],
[
"Calder_Willingham",
"wasBornIn",
"Atlanta"
],
[
"Carl_Epting_Mundy,_Jr.",
"hasGender",
"male"
],
[
"Carl_Epting_Mundy,_Jr.",
"wasBornIn",
"Atlanta"
],
[
"CeeLo_Green",
"hasGender",
"male"
],
[
"CeeLo_Green",
"wasBornIn",
"Atlanta"
],
[
"Chris_Mahaffey",
"hasGender",
"male"
],
[
"Chris_Mahaffey",
"wasBornIn",
"Atlanta"
],
[
"Chris_Morris_(basketball)",
"hasGender",
"male"
],
[
"Chris_Morris_(basketball)",
"wasBornIn",
"Atlanta"
],
[
"Chris_Tucker",
"hasGender",
"male"
],
[
"Chris_Tucker",
"wasBornIn",
"Atlanta"
],
[
"Chuck_Evans_(basketball)",
"hasGender",
"male"
],
[
"Chuck_Evans_(basketball)",
"wasBornIn",
"Atlanta"
],
[
"Clint_Lowery",
"hasGender",
"male"
],
[
"Clint_Lowery",
"wasBornIn",
"Atlanta"
],
[
"Craig_Lucas",
"hasGender",
"male"
],
[
"Craig_Lucas",
"wasBornIn",
"Atlanta"
],
[
"Daniel_J._Boorstin",
"hasGender",
"male"
],
[
"Daniel_J._Boorstin",
"wasBornIn",
"Atlanta"
],
[
"David_Cross",
"hasGender",
"male"
],
[
"David_Cross",
"wasBornIn",
"Atlanta"
],
[
"David_D._McKiernan",
"hasGender",
"male"
],
[
"David_D._McKiernan",
"wasBornIn",
"Atlanta"
],
[
"DeKalb_County_(Georgia)",
"isLocatedIn",
"Decatur,_Georgia"
],
[
"Decatur,_Georgia",
"isLocatedIn",
"DeKalb_County,_Georgia"
],
[
"Decatur,_Georgia",
"isLocatedIn",
"DeKalb_County_(Georgia)"
],
[
"Decatur,_Georgia",
"isLocatedIn",
"Georgia_(U.S._state)"
],
[
"Decatur,_Georgia",
"isLocatedIn",
"United_States"
],
[
"Dyron_Nix",
"diedIn",
"Atlanta"
],
[
"Dyron_Nix",
"hasGender",
"male"
],
[
"Georgia_(U.S._state)",
"hasCapital",
"Atlanta"
],
[
"Gregory_Abowd",
"hasGender",
"male"
],
[
"Gregory_Abowd",
"livesIn",
"Atlanta"
],
[
"Harold_Ellis_(basketball)",
"hasGender",
"male"
],
[
"Harold_Ellis_(basketball)",
"wasBornIn",
"Atlanta"
],
[
"Jabari_Smith",
"hasGender",
"male"
],
[
"Jabari_Smith",
"wasBornIn",
"Atlanta"
],
[
"James_A._Moore",
"hasGender",
"male"
],
[
"James_A._Moore",
"wasBornIn",
"Atlanta"
],
[
"James_Brown",
"diedIn",
"Atlanta"
],
[
"James_Brown",
"hasGender",
"male"
],
[
"Jason_Smith_(soccer)",
"hasGender",
"male"
],
[
"Jason_Smith_(soccer)",
"wasBornIn",
"Atlanta"
],
[
"Javaris_Crittenton",
"hasGender",
"male"
],
[
"Javaris_Crittenton",
"wasBornIn",
"Atlanta"
],
[
"Jean-Marc_Pelletier",
"hasGender",
"male"
],
[
"Jean-Marc_Pelletier",
"wasBornIn",
"Atlanta"
],
[
"Jeremy_Tolleson",
"hasGender",
"male"
],
[
"Jeremy_Tolleson",
"wasBornIn",
"Atlanta"
],
[
"Jermareo_Davidson",
"hasGender",
"male"
],
[
"Jermareo_Davidson",
"wasBornIn",
"Atlanta"
],
[
"Jerry_Reed",
"hasGender",
"male"
],
[
"Jerry_Reed",
"wasBornIn",
"Atlanta"
],
[
"Jim_Fox_(basketball)",
"hasGender",
"male"
],
[
"Jim_Fox_(basketball)",
"wasBornIn",
"Atlanta"
],
[
"Joe_South",
"hasGender",
"male"
],
[
"Joe_South",
"wasBornIn",
"Atlanta"
],
[
"Joel_Chandler_Harris",
"diedIn",
"Atlanta"
],
[
"Joel_Chandler_Harris",
"hasGender",
"male"
],
[
"Joseph_Forte",
"hasGender",
"male"
],
[
"Joseph_Forte",
"wasBornIn",
"Atlanta"
],
[
"Joseph_M._Pettit",
"diedIn",
"Atlanta"
],
[
"Joseph_M._Pettit",
"hasGender",
"male"
],
[
"Justin_Moore_(soccer)",
"hasGender",
"male"
],
[
"Justin_Moore_(soccer)",
"wasBornIn",
"Decatur,_Georgia"
],
[
"Kanye_West",
"hasGender",
"male"
],
[
"Kanye_West",
"wasBornIn",
"Atlanta"
],
[
"Kip_Pardue",
"hasGender",
"male"
],
[
"Kip_Pardue",
"wasBornIn",
"Atlanta"
],
[
"Kyle_Martino",
"hasGender",
"male"
],
[
"Kyle_Martino",
"wasBornIn",
"Atlanta"
],
[
"Lamar_Trotti",
"hasGender",
"male"
],
[
"Lamar_Trotti",
"wasBornIn",
"Atlanta"
],
[
"Lee_Tracy",
"hasGender",
"male"
],
[
"Lee_Tracy",
"wasBornIn",
"Atlanta"
],
[
"Lil_Jon",
"hasGender",
"male"
],
[
"Lil_Jon",
"wasBornIn",
"Atlanta"
],
[
"Mark_Mowers",
"hasGender",
"male"
],
[
"Mark_Mowers",
"wasBornIn",
"Decatur,_Georgia"
],
[
"Martin_Luther_King,_Jr.",
"hasGender",
"male"
],
[
"Martin_Luther_King,_Jr.",
"wasBornIn",
"Atlanta"
],
[
"Marv_Tarplin",
"hasGender",
"male"
],
[
"Marv_Tarplin",
"wasBornIn",
"Atlanta"
],
[
"Matt_Reis",
"hasGender",
"male"
],
[
"Matt_Reis",
"wasBornIn",
"Atlanta"
],
[
"Maurice_Hughes",
"hasGender",
"male"
],
[
"Maurice_Hughes",
"wasBornIn",
"Atlanta"
],
[
"Max_Cleland",
"hasGender",
"male"
],
[
"Max_Cleland",
"wasBornIn",
"Atlanta"
],
[
"Michael_Stipe",
"hasGender",
"male"
],
[
"Michael_Stipe",
"wasBornIn",
"Decatur,_Georgia"
],
[
"Mike_Mitchell_(basketball,_born_1956)",
"hasGender",
"male"
],
[
"Mike_Mitchell_(basketball,_born_1956)",
"wasBornIn",
"Atlanta"
],
[
"Morgan_Rose",
"hasGender",
"male"
],
[
"Morgan_Rose",
"wasBornIn",
"Atlanta"
],
[
"Nipsey_Russell",
"hasGender",
"male"
],
[
"Nipsey_Russell",
"wasBornIn",
"Atlanta"
],
[
"Owen_W._Siler",
"diedIn",
"Atlanta"
],
[
"Owen_W._Siler",
"hasGender",
"male"
],
[
"Pat_Conroy",
"hasGender",
"male"
],
[
"Pat_Conroy",
"wasBornIn",
"Atlanta"
],
[
"Polow_da_Don",
"hasGender",
"male"
],
[
"Polow_da_Don",
"wasBornIn",
"Atlanta"
],
[
"Reggie_Johnson_(basketball)",
"hasGender",
"male"
],
[
"Reggie_Johnson_(basketball)",
"wasBornIn",
"Atlanta"
],
[
"Ricardo_Clark",
"hasGender",
"male"
],
[
"Ricardo_Clark",
"wasBornIn",
"Atlanta"
],
[
"Rob_Redding",
"hasGender",
"male"
],
[
"Rob_Redding",
"wasBornIn",
"Atlanta"
],
[
"Roy_D._Bridges,_Jr.",
"hasGender",
"male"
],
[
"Roy_D._Bridges,_Jr.",
"wasBornIn",
"Atlanta"
],
[
"Sam_Cronin",
"hasGender",
"male"
],
[
"Sam_Cronin",
"wasBornIn",
"Atlanta"
],
[
"Scott_Wilson_(actor)",
"hasGender",
"male"
],
[
"Scott_Wilson_(actor)",
"wasBornIn",
"Atlanta"
],
[
"Sean_Garrett",
"hasGender",
"male"
],
[
"Sean_Garrett",
"wasBornIn",
"Atlanta"
],
[
"Sean_Price",
"hasGender",
"male"
],
[
"Sean_Price",
"wasBornIn",
"Atlanta"
],
[
"Sedale_Threatt",
"hasGender",
"male"
],
[
"Sedale_Threatt",
"wasBornIn",
"Atlanta"
],
[
"Spike_Lee",
"hasGender",
"male"
],
[
"Spike_Lee",
"wasBornIn",
"Atlanta"
],
[
"Stanley_Cavell",
"hasGender",
"male"
],
[
"Stanley_Cavell",
"wasBornIn",
"Atlanta"
],
[
"Stephen_Dorff",
"hasGender",
"male"
],
[
"Stephen_Dorff",
"wasBornIn",
"Atlanta"
],
[
"Steve_Whitmire",
"hasGender",
"male"
],
[
"Steve_Whitmire",
"wasBornIn",
"Atlanta"
],
[
"Steven_C._Miller",
"hasGender",
"male"
],
[
"Steven_C._Miller",
"wasBornIn",
"Decatur,_Georgia"
],
[
"Steven_Soderbergh",
"hasGender",
"male"
],
[
"Steven_Soderbergh",
"wasBornIn",
"Atlanta"
],
[
"T.I.",
"hasGender",
"male"
],
[
"T.I.",
"wasBornIn",
"Atlanta"
],
[
"The-Dream",
"hasGender",
"male"
],
[
"The-Dream",
"wasBornIn",
"Atlanta"
],
[
"Tucker_Max",
"hasGender",
"male"
],
[
"Tucker_Max",
"wasBornIn",
"Atlanta"
],
[
"W._E._B._Du_Bois",
"hasGender",
"male"
],
[
"W._E._B._Du_Bois",
"livesIn",
"Atlanta"
],
[
"W._Keith_Edwards",
"hasGender",
"male"
],
[
"W._Keith_Edwards",
"livesIn",
"Atlanta"
],
[
"Will_Wright_(game_designer)",
"hasGender",
"male"
],
[
"Will_Wright_(game_designer)",
"wasBornIn",
"Atlanta"
],
[
"William_Augustus_Edwards",
"diedIn",
"Atlanta"
],
[
"William_Augustus_Edwards",
"hasGender",
"male"
],
[
"William_de_Alburwyke",
"hasGender",
"male"
],
[
"Yung_Joc",
"hasGender",
"male"
],
[
"Yung_Joc",
"wasBornIn",
"Atlanta"
],
[
"Zach_Kirby",
"hasGender",
"male"
],
[
"Zach_Kirby",
"wasBornIn",
"Atlanta"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
57613, Allan_Ray
15013, Antonio_Anderson
40016, Bavaria
85900, Chris_Kirkland
42895, Georg_Ohm
61995, Germany
68631, Neu-Ulm
84278, Ratiopharm_Ulm
29533, Stephen_Arigbabu
118104, male
src, edge_attr, dst
57613, hasGender, 118104
57613, isAffiliatedTo, 84278
15013, hasGender, 118104
15013, isAffiliatedTo, 84278
40016, isLocatedIn, 61995
85900, hasGender, 118104
42895, hasGender, 118104
42895, livesIn, 40016
68631, isLocatedIn, 40016
84278, isLocatedIn, 61995
84278, isLocatedIn, 68631
29533, hasGender, 118104
29533, isAffiliatedTo, 84278
Question: In what context are Chris_Kirkland and Neu-Ulm connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Chris_Kirkland",
"Neu-Ulm"
],
"valid_edges": [
[
"Allan_Ray",
"hasGender",
"male"
],
[
"Allan_Ray",
"isAffiliatedTo",
"Ratiopharm_Ulm"
],
[
"Antonio_Anderson",
"hasGender",
"male"
],
[
"Antonio_Anderson",
"isAffiliatedTo",
"Ratiopharm_Ulm"
],
[
"Bavaria",
"isLocatedIn",
"Germany"
],
[
"Chris_Kirkland",
"hasGender",
"male"
],
[
"Georg_Ohm",
"hasGender",
"male"
],
[
"Georg_Ohm",
"livesIn",
"Bavaria"
],
[
"Neu-Ulm",
"isLocatedIn",
"Bavaria"
],
[
"Ratiopharm_Ulm",
"isLocatedIn",
"Germany"
],
[
"Ratiopharm_Ulm",
"isLocatedIn",
"Neu-Ulm"
],
[
"Stephen_Arigbabu",
"hasGender",
"male"
],
[
"Stephen_Arigbabu",
"isAffiliatedTo",
"Ratiopharm_Ulm"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
117668, José_Vizcarra
64786, René_Beuchel
118104, male
src, edge_attr, dst
117668, hasGender, 118104
64786, hasGender, 118104
Question: For what reason are José_Vizcarra and René_Beuchel associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"José_Vizcarra",
"René_Beuchel"
],
"valid_edges": [
[
"José_Vizcarra",
"hasGender",
"male"
],
[
"René_Beuchel",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
31245, Ayila_Yussuf
63808, Bridge_Boys_F.C.
39607, Chucks_Nwoko
106075, Flagler_Beach,_Florida
54313, Lagos
93674, Lagos_State
34763, Nigeria
57214, Obinna_Nwaneri
29157, United_States
src, edge_attr, dst
31245, isAffiliatedTo, 63808
31245, playsFor, 63808
31245, wasBornIn, 54313
63808, isLocatedIn, 54313
39607, isAffiliatedTo, 63808
39607, playsFor, 63808
39607, wasBornIn, 54313
106075, isLocatedIn, 29157
54313, isLocatedIn, 93674
54313, isLocatedIn, 34763
93674, owns, 63808
34763, dealsWith, 29157
34763, hasCapital, 54313
57214, isAffiliatedTo, 63808
57214, playsFor, 63808
57214, wasBornIn, 54313
Question: How are Chucks_Nwoko and Flagler_Beach,_Florida related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Chucks_Nwoko",
"Flagler_Beach,_Florida"
],
"valid_edges": [
[
"Ayila_Yussuf",
"isAffiliatedTo",
"Bridge_Boys_F.C."
],
[
"Ayila_Yussuf",
"playsFor",
"Bridge_Boys_F.C."
],
[
"Ayila_Yussuf",
"wasBornIn",
"Lagos"
],
[
"Bridge_Boys_F.C.",
"isLocatedIn",
"Lagos"
],
[
"Chucks_Nwoko",
"isAffiliatedTo",
"Bridge_Boys_F.C."
],
[
"Chucks_Nwoko",
"playsFor",
"Bridge_Boys_F.C."
],
[
"Chucks_Nwoko",
"wasBornIn",
"Lagos"
],
[
"Flagler_Beach,_Florida",
"isLocatedIn",
"United_States"
],
[
"Lagos",
"isLocatedIn",
"Lagos_State"
],
[
"Lagos",
"isLocatedIn",
"Nigeria"
],
[
"Lagos_State",
"owns",
"Bridge_Boys_F.C."
],
[
"Nigeria",
"dealsWith",
"United_States"
],
[
"Nigeria",
"hasCapital",
"Lagos"
],
[
"Obinna_Nwaneri",
"isAffiliatedTo",
"Bridge_Boys_F.C."
],
[
"Obinna_Nwaneri",
"playsFor",
"Bridge_Boys_F.C."
],
[
"Obinna_Nwaneri",
"wasBornIn",
"Lagos"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
83896, Gmina_Koczała
97772, Gniew
105543, Pomeranian_Voivodeship
src, edge_attr, dst
83896, isLocatedIn, 105543
97772, isLocatedIn, 105543
Question: For what reason are Gmina_Koczała and Gniew associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Gmina_Koczała",
"Gniew"
],
"valid_edges": [
[
"Gmina_Koczała",
"isLocatedIn",
"Pomeranian_Voivodeship"
],
[
"Gniew",
"isLocatedIn",
"Pomeranian_Voivodeship"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
7207, Hanover,_Pennsylvania
120619, Paul_Child_(soccer)
32169, Pennsylvania
114869, Pittsburgh_Riverhounds
30904, Pittsburgh_Spirit
src, edge_attr, dst
7207, isLocatedIn, 32169
120619, isAffiliatedTo, 114869
120619, isAffiliatedTo, 30904
120619, playsFor, 30904
114869, isLocatedIn, 32169
Question: For what reason are Hanover,_Pennsylvania and Pittsburgh_Spirit associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Hanover,_Pennsylvania",
"Pittsburgh_Spirit"
],
"valid_edges": [
[
"Hanover,_Pennsylvania",
"isLocatedIn",
"Pennsylvania"
],
[
"Paul_Child_(soccer)",
"isAffiliatedTo",
"Pittsburgh_Riverhounds"
],
[
"Paul_Child_(soccer)",
"isAffiliatedTo",
"Pittsburgh_Spirit"
],
[
"Paul_Child_(soccer)",
"playsFor",
"Pittsburgh_Spirit"
],
[
"Pittsburgh_Riverhounds",
"isLocatedIn",
"Pennsylvania"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
44750, 1._FC_Cologne
22616, 1._FC_Lokomotive_Leipzig
106204, Bird_J._Vincent
16286, Essen
61995, Germany
112594, Henri_Fuchs
104262, Holger_Gaißmayer
53653, Jörg_Berger
36464, North_Rhine-Westphalia
94252, Pendleton,_Oregon
29157, United_States
src, edge_attr, dst
44750, isLocatedIn, 36464
106204, isCitizenOf, 29157
106204, playsFor, 22616
16286, isLocatedIn, 61995
16286, isLocatedIn, 36464
61995, dealsWith, 29157
61995, hasCapital, 16286
112594, isAffiliatedTo, 44750
112594, isAffiliatedTo, 22616
112594, playsFor, 22616
104262, isAffiliatedTo, 44750
104262, playsFor, 22616
104262, wasBornIn, 16286
53653, isAffiliatedTo, 44750
53653, isAffiliatedTo, 22616
53653, playsFor, 22616
94252, isLocatedIn, 29157
29157, dealsWith, 61995
Question: For what reason are Holger_Gaißmayer and Pendleton,_Oregon associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Holger_Gaißmayer",
"Pendleton,_Oregon"
],
"valid_edges": [
[
"1._FC_Cologne",
"isLocatedIn",
"North_Rhine-Westphalia"
],
[
"Bird_J._Vincent",
"isCitizenOf",
"United_States"
],
[
"Bird_J._Vincent",
"playsFor",
"1._FC_Lokomotive_Leipzig"
],
[
"Essen",
"isLocatedIn",
"Germany"
],
[
"Essen",
"isLocatedIn",
"North_Rhine-Westphalia"
],
[
"Germany",
"dealsWith",
"United_States"
],
[
"Germany",
"hasCapital",
"Essen"
],
[
"Henri_Fuchs",
"isAffiliatedTo",
"1._FC_Cologne"
],
[
"Henri_Fuchs",
"isAffiliatedTo",
"1._FC_Lokomotive_Leipzig"
],
[
"Henri_Fuchs",
"playsFor",
"1._FC_Lokomotive_Leipzig"
],
[
"Holger_Gaißmayer",
"isAffiliatedTo",
"1._FC_Cologne"
],
[
"Holger_Gaißmayer",
"playsFor",
"1._FC_Lokomotive_Leipzig"
],
[
"Holger_Gaißmayer",
"wasBornIn",
"Essen"
],
[
"Jörg_Berger",
"isAffiliatedTo",
"1._FC_Cologne"
],
[
"Jörg_Berger",
"isAffiliatedTo",
"1._FC_Lokomotive_Leipzig"
],
[
"Jörg_Berger",
"playsFor",
"1._FC_Lokomotive_Leipzig"
],
[
"Pendleton,_Oregon",
"isLocatedIn",
"United_States"
],
[
"United_States",
"dealsWith",
"Germany"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
359, 1._FFC_Frankfurt
10614, Leni_Larsen_Kaurin
59688, Norway
109821, Rissa,_Norway
65864, Ålesund
src, edge_attr, dst
10614, isAffiliatedTo, 359
10614, playsFor, 359
10614, wasBornIn, 65864
109821, isLocatedIn, 59688
65864, isLocatedIn, 59688
Question: How are 1._FFC_Frankfurt and Rissa,_Norway related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"1._FFC_Frankfurt",
"Rissa,_Norway"
],
"valid_edges": [
[
"Leni_Larsen_Kaurin",
"isAffiliatedTo",
"1._FFC_Frankfurt"
],
[
"Leni_Larsen_Kaurin",
"playsFor",
"1._FFC_Frankfurt"
],
[
"Leni_Larsen_Kaurin",
"wasBornIn",
"Ålesund"
],
[
"Rissa,_Norway",
"isLocatedIn",
"Norway"
],
[
"Ålesund",
"isLocatedIn",
"Norway"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
28901, A.C._Cuneo_1905
94803, A.C._Lumezzane
26211, A.C._Meda_1913
99911, A.C._Milan
80310, A.C._Monza_Brianza_1912
122629, A.C._Pavia
77279, A.C._Siena
5917, A.S.D._Fidelis_Andria_1928
11276, A.S.D._Junior_Biellese_Libertas
111132, A.S._Roma
108201, Abderrazzak_Jadid
6324, Abdoulaye_Baldé_(footballer)
65848, Aimo_Diana
78253, Alessandro_Matri
78394, Andrea_Cossu_(footballer_born_1980)
121655, Andrey_Galabinov
85743, Angelo_Bencivenga
94657, Antonio_Buscè
16855, Antonio_Giosa
1353, Aurora_Pro_Patria_1919
97717, Ayub_Daud
74201, Biagio_Pagano
108498, Brescia_Calcio
20525, Calcio_Como
70531, Cristian_Brocchi
54409, Davide_Mandelli
120893, Davide_Nicola
116005, Davide_Sinigaglia
119810, Delfino_Pescara_1936
43291, E.J._Feihl
6588, Emanuele_Morini
25527, F.B.C._Unione_Venezia
82133, F.C._AlzanoCene_1909
73376, Filippo_Antonelli
5022, Foggia_Calcio
61656, Francesco_Benussi
101241, Gabriel_Sénac_de_Meilhan
11638, Genoa_C.F.C.
82345, Gerard_Crole
70411, Giovanni_Arioli
115166, Lorenzo_Pinamonte
10838, Luis_Fernando_Centi
26169, Maksim_Petrenko
30922, Manuel_Belleri
89217, Marco_Ambrosio
87400, Marco_Cassetti
62823, Marco_Malagò
78402, Marco_Russo
53387, Mario_Balotelli
11948, Mario_Beretta
93990, Mario_Rebecchi
75852, Massimiliano_Brizzi
109376, Matteo_Contini
100014, Matteo_Teoldi
1656, Mauro_Belotti
51897, Mauro_Minelli
17627, Michele_Marcolini
58092, Michele_Marconi
32225, Mirco_Gasparetto
60356, Nello_Russo
56103, Nicola_Silvestri
122803, Novara_Calcio
95131, Omar_Torri
51872, Oscar_Brevi
106747, PFC_Botev_Plovdiv
69367, Patrick_Kalambay
20577, Ravenna_F.C.
18161, Rej_Volpato
109430, Riccardo_Maniero
81603, Roberto_Previtali
20468, S.S.D._Piacenza_Calcio_1919
410, S.S._Virtus_Lanciano_1924
5912, Salvatore_Ferraro
48136, Salvatore_Masiello
107672, Simone_Grippo
10267, Simone_Inzaghi
58609, Spezia_Calcio
97472, Ternana_Calcio
303, Tommaso_Chiecchi
52157, Torino_F.C.
110032, U.C._AlbinoLeffe
62910, Unione_Triestina_2012_S.S.D.
42135, Vicenza_Calcio
116144, Vincenzo_Italiano
118104, male
src, edge_attr, dst
108201, hasGender, 118104
108201, isAffiliatedTo, 94803
108201, isAffiliatedTo, 108498
108201, isAffiliatedTo, 119810
108201, isAffiliatedTo, 42135
108201, playsFor, 94803
108201, playsFor, 108498
108201, playsFor, 119810
108201, playsFor, 42135
6324, hasGender, 118104
6324, isAffiliatedTo, 94803
6324, playsFor, 94803
65848, hasGender, 118104
65848, isAffiliatedTo, 94803
65848, isAffiliatedTo, 108498
65848, isAffiliatedTo, 52157
65848, playsFor, 94803
65848, playsFor, 108498
65848, playsFor, 52157
78253, hasGender, 118104
78253, isAffiliatedTo, 94803
78253, isAffiliatedTo, 99911
78253, playsFor, 94803
78253, playsFor, 99911
78394, hasGender, 118104
78394, isAffiliatedTo, 94803
78394, playsFor, 94803
121655, hasGender, 118104
121655, playsFor, 94803
85743, hasGender, 118104
85743, playsFor, 94803
85743, playsFor, 20525
85743, playsFor, 97472
94657, hasGender, 118104
94657, isAffiliatedTo, 94803
94657, isAffiliatedTo, 20577
94657, playsFor, 94803
94657, playsFor, 20577
16855, hasGender, 118104
16855, isAffiliatedTo, 94803
16855, isAffiliatedTo, 20525
16855, isAffiliatedTo, 42135
16855, playsFor, 94803
16855, playsFor, 20525
16855, playsFor, 42135
97717, hasGender, 118104
97717, isAffiliatedTo, 28901
97717, playsFor, 28901
97717, playsFor, 94803
74201, hasGender, 118104
74201, playsFor, 94803
74201, playsFor, 52157
70531, hasGender, 118104
70531, isAffiliatedTo, 94803
70531, isAffiliatedTo, 99911
70531, playsFor, 94803
70531, playsFor, 99911
54409, hasGender, 118104
54409, isAffiliatedTo, 94803
54409, isAffiliatedTo, 80310
54409, isAffiliatedTo, 77279
54409, isAffiliatedTo, 11276
54409, isAffiliatedTo, 52157
54409, playsFor, 94803
54409, playsFor, 80310
54409, playsFor, 77279
54409, playsFor, 11276
54409, playsFor, 52157
120893, hasGender, 118104
120893, playsFor, 94803
120893, playsFor, 77279
120893, playsFor, 5917
120893, playsFor, 119810
120893, playsFor, 11638
120893, playsFor, 20577
120893, playsFor, 58609
120893, playsFor, 97472
120893, playsFor, 52157
116005, hasGender, 118104
116005, isAffiliatedTo, 94803
116005, isAffiliatedTo, 26211
116005, isAffiliatedTo, 80310
116005, isAffiliatedTo, 11638
116005, isAffiliatedTo, 122803
116005, isAffiliatedTo, 410
116005, isAffiliatedTo, 97472
116005, playsFor, 94803
116005, playsFor, 26211
116005, playsFor, 80310
116005, playsFor, 11638
116005, playsFor, 122803
116005, playsFor, 410
116005, playsFor, 97472
43291, hasGender, 118104
43291, playsFor, 94803
43291, playsFor, 97472
6588, hasGender, 118104
6588, playsFor, 94803
6588, playsFor, 111132
6588, playsFor, 5022
6588, playsFor, 106747
6588, playsFor, 42135
73376, hasGender, 118104
73376, isAffiliatedTo, 94803
73376, isAffiliatedTo, 80310
73376, isAffiliatedTo, 1353
73376, isAffiliatedTo, 119810
73376, isAffiliatedTo, 52157
73376, isAffiliatedTo, 110032
73376, isAffiliatedTo, 62910
73376, playsFor, 94803
73376, playsFor, 80310
73376, playsFor, 1353
73376, playsFor, 119810
73376, playsFor, 52157
73376, playsFor, 110032
73376, playsFor, 62910
61656, hasGender, 118104
61656, isAffiliatedTo, 94803
61656, isAffiliatedTo, 77279
61656, isAffiliatedTo, 25527
61656, isAffiliatedTo, 52157
61656, playsFor, 94803
61656, playsFor, 77279
61656, playsFor, 25527
61656, playsFor, 52157
101241, hasGender, 118104
101241, playsFor, 94803
101241, playsFor, 77279
101241, playsFor, 25527
101241, playsFor, 52157
82345, hasGender, 118104
82345, playsFor, 94803
82345, playsFor, 108498
70411, hasGender, 118104
70411, playsFor, 94803
70411, playsFor, 1353
115166, hasGender, 118104
115166, playsFor, 94803
115166, playsFor, 122803
10838, hasGender, 118104
10838, isAffiliatedTo, 94803
10838, isAffiliatedTo, 1353
10838, isAffiliatedTo, 20525
10838, isAffiliatedTo, 20468
10838, playsFor, 94803
10838, playsFor, 1353
10838, playsFor, 20525
10838, playsFor, 20468
26169, hasGender, 118104
30922, hasGender, 118104
30922, isAffiliatedTo, 94803
30922, playsFor, 94803
89217, hasGender, 118104
89217, isAffiliatedTo, 94803
89217, isAffiliatedTo, 108498
89217, isAffiliatedTo, 20577
89217, playsFor, 94803
89217, playsFor, 108498
89217, playsFor, 20577
87400, hasGender, 118104
87400, isAffiliatedTo, 94803
87400, isAffiliatedTo, 111132
87400, playsFor, 94803
87400, playsFor, 111132
62823, hasGender, 118104
62823, isAffiliatedTo, 94803
62823, isAffiliatedTo, 77279
62823, isAffiliatedTo, 25527
62823, isAffiliatedTo, 11638
62823, isAffiliatedTo, 62910
62823, playsFor, 94803
62823, playsFor, 77279
62823, playsFor, 25527
62823, playsFor, 11638
62823, playsFor, 62910
78402, hasGender, 118104
78402, playsFor, 94803
53387, hasGender, 118104
53387, isAffiliatedTo, 94803
53387, isAffiliatedTo, 99911
53387, playsFor, 94803
53387, playsFor, 99911
11948, hasGender, 118104
11948, isAffiliatedTo, 94803
11948, isAffiliatedTo, 77279
11948, isAffiliatedTo, 108498
11948, isAffiliatedTo, 97472
93990, hasGender, 118104
93990, isAffiliatedTo, 94803
93990, isAffiliatedTo, 5917
93990, isAffiliatedTo, 11638
93990, playsFor, 94803
93990, playsFor, 5917
93990, playsFor, 11638
75852, hasGender, 118104
75852, playsFor, 94803
75852, playsFor, 26211
75852, playsFor, 1353
75852, playsFor, 20525
75852, playsFor, 122803
75852, playsFor, 106747
109376, hasGender, 118104
109376, isAffiliatedTo, 94803
109376, isAffiliatedTo, 99911
109376, isAffiliatedTo, 80310
109376, isAffiliatedTo, 77279
109376, playsFor, 99911
109376, playsFor, 80310
109376, playsFor, 77279
100014, hasGender, 118104
100014, playsFor, 94803
100014, playsFor, 99911
100014, playsFor, 25527
1656, hasGender, 118104
1656, playsFor, 94803
1656, playsFor, 122629
1656, playsFor, 110032
51897, hasGender, 118104
51897, isAffiliatedTo, 94803
51897, isAffiliatedTo, 110032
51897, isAffiliatedTo, 62910
51897, playsFor, 94803
51897, playsFor, 110032
51897, playsFor, 62910
17627, hasGender, 118104
17627, isAffiliatedTo, 94803
17627, isAffiliatedTo, 52157
17627, isAffiliatedTo, 42135
17627, playsFor, 52157
17627, playsFor, 42135
58092, hasGender, 118104
58092, isAffiliatedTo, 94803
58092, isAffiliatedTo, 122629
58092, isAffiliatedTo, 25527
58092, playsFor, 94803
58092, playsFor, 122629
58092, playsFor, 25527
32225, hasGender, 118104
32225, isAffiliatedTo, 94803
32225, isAffiliatedTo, 99911
32225, isAffiliatedTo, 11638
32225, playsFor, 94803
32225, playsFor, 99911
32225, playsFor, 11638
60356, hasGender, 118104
60356, isAffiliatedTo, 94803
60356, isAffiliatedTo, 80310
60356, isAffiliatedTo, 119810
60356, isAffiliatedTo, 58609
60356, isAffiliatedTo, 110032
60356, playsFor, 94803
60356, playsFor, 80310
60356, playsFor, 119810
60356, playsFor, 58609
60356, playsFor, 110032
56103, hasGender, 118104
56103, playsFor, 94803
56103, playsFor, 108498
56103, playsFor, 25527
56103, playsFor, 11638
56103, playsFor, 20468
56103, playsFor, 410
56103, playsFor, 62910
95131, hasGender, 118104
95131, playsFor, 28901
95131, playsFor, 94803
95131, playsFor, 99911
95131, playsFor, 80310
95131, playsFor, 122629
95131, playsFor, 11276
95131, playsFor, 82133
95131, playsFor, 110032
51872, hasGender, 118104
51872, isAffiliatedTo, 94803
51872, isAffiliatedTo, 20525
51872, isAffiliatedTo, 25527
51872, isAffiliatedTo, 52157
51872, playsFor, 94803
51872, playsFor, 20525
51872, playsFor, 25527
51872, playsFor, 52157
69367, hasGender, 118104
69367, isAffiliatedTo, 94803
69367, isAffiliatedTo, 99911
69367, isAffiliatedTo, 20525
69367, isAffiliatedTo, 62910
69367, playsFor, 94803
69367, playsFor, 99911
69367, playsFor, 20525
69367, playsFor, 62910
18161, hasGender, 118104
18161, isAffiliatedTo, 94803
18161, isAffiliatedTo, 77279
18161, isAffiliatedTo, 20468
18161, playsFor, 94803
18161, playsFor, 77279
18161, playsFor, 20468
109430, hasGender, 118104
109430, isAffiliatedTo, 94803
109430, isAffiliatedTo, 119810
109430, isAffiliatedTo, 97472
109430, playsFor, 94803
109430, playsFor, 119810
109430, playsFor, 97472
81603, hasGender, 118104
81603, isAffiliatedTo, 94803
81603, isAffiliatedTo, 82133
81603, isAffiliatedTo, 58609
81603, isAffiliatedTo, 110032
81603, playsFor, 94803
81603, playsFor, 82133
81603, playsFor, 58609
81603, playsFor, 110032
5912, hasGender, 118104
5912, isAffiliatedTo, 94803
5912, isAffiliatedTo, 99911
5912, isAffiliatedTo, 122629
5912, isAffiliatedTo, 410
5912, isAffiliatedTo, 97472
5912, playsFor, 94803
5912, playsFor, 99911
5912, playsFor, 122629
5912, playsFor, 410
5912, playsFor, 97472
48136, hasGender, 118104
48136, isAffiliatedTo, 94803
48136, isAffiliatedTo, 25527
48136, isAffiliatedTo, 20468
48136, isAffiliatedTo, 52157
48136, isAffiliatedTo, 42135
48136, playsFor, 94803
48136, playsFor, 25527
48136, playsFor, 20468
48136, playsFor, 52157
48136, playsFor, 42135
107672, hasGender, 118104
107672, isAffiliatedTo, 94803
107672, isAffiliatedTo, 20468
107672, playsFor, 94803
107672, playsFor, 20468
10267, hasGender, 118104
10267, isAffiliatedTo, 94803
10267, isAffiliatedTo, 122803
10267, isAffiliatedTo, 20468
10267, playsFor, 94803
10267, playsFor, 122803
10267, playsFor, 20468
303, hasGender, 118104
303, isAffiliatedTo, 94803
303, isAffiliatedTo, 1353
303, isAffiliatedTo, 5022
303, playsFor, 94803
303, playsFor, 1353
303, playsFor, 5022
116144, hasGender, 118104
116144, isAffiliatedTo, 94803
116144, isAffiliatedTo, 11638
116144, playsFor, 94803
116144, playsFor, 11638
Question: In what context are A.C._Lumezzane and Maksim_Petrenko connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"A.C._Lumezzane",
"Maksim_Petrenko"
],
"valid_edges": [
[
"Abderrazzak_Jadid",
"hasGender",
"male"
],
[
"Abderrazzak_Jadid",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Abderrazzak_Jadid",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Abderrazzak_Jadid",
"isAffiliatedTo",
"Delfino_Pescara_1936"
],
[
"Abderrazzak_Jadid",
"isAffiliatedTo",
"Vicenza_Calcio"
],
[
"Abderrazzak_Jadid",
"playsFor",
"A.C._Lumezzane"
],
[
"Abderrazzak_Jadid",
"playsFor",
"Brescia_Calcio"
],
[
"Abderrazzak_Jadid",
"playsFor",
"Delfino_Pescara_1936"
],
[
"Abderrazzak_Jadid",
"playsFor",
"Vicenza_Calcio"
],
[
"Abdoulaye_Baldé_(footballer)",
"hasGender",
"male"
],
[
"Abdoulaye_Baldé_(footballer)",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Abdoulaye_Baldé_(footballer)",
"playsFor",
"A.C._Lumezzane"
],
[
"Aimo_Diana",
"hasGender",
"male"
],
[
"Aimo_Diana",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Aimo_Diana",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Aimo_Diana",
"isAffiliatedTo",
"Torino_F.C."
],
[
"Aimo_Diana",
"playsFor",
"A.C._Lumezzane"
],
[
"Aimo_Diana",
"playsFor",
"Brescia_Calcio"
],
[
"Aimo_Diana",
"playsFor",
"Torino_F.C."
],
[
"Alessandro_Matri",
"hasGender",
"male"
],
[
"Alessandro_Matri",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Alessandro_Matri",
"isAffiliatedTo",
"A.C._Milan"
],
[
"Alessandro_Matri",
"playsFor",
"A.C._Lumezzane"
],
[
"Alessandro_Matri",
"playsFor",
"A.C._Milan"
],
[
"Andrea_Cossu_(footballer_born_1980)",
"hasGender",
"male"
],
[
"Andrea_Cossu_(footballer_born_1980)",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Andrea_Cossu_(footballer_born_1980)",
"playsFor",
"A.C._Lumezzane"
],
[
"Andrey_Galabinov",
"hasGender",
"male"
],
[
"Andrey_Galabinov",
"playsFor",
"A.C._Lumezzane"
],
[
"Angelo_Bencivenga",
"hasGender",
"male"
],
[
"Angelo_Bencivenga",
"playsFor",
"A.C._Lumezzane"
],
[
"Angelo_Bencivenga",
"playsFor",
"Calcio_Como"
],
[
"Angelo_Bencivenga",
"playsFor",
"Ternana_Calcio"
],
[
"Antonio_Buscè",
"hasGender",
"male"
],
[
"Antonio_Buscè",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Antonio_Buscè",
"isAffiliatedTo",
"Ravenna_F.C."
],
[
"Antonio_Buscè",
"playsFor",
"A.C._Lumezzane"
],
[
"Antonio_Buscè",
"playsFor",
"Ravenna_F.C."
],
[
"Antonio_Giosa",
"hasGender",
"male"
],
[
"Antonio_Giosa",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Antonio_Giosa",
"isAffiliatedTo",
"Calcio_Como"
],
[
"Antonio_Giosa",
"isAffiliatedTo",
"Vicenza_Calcio"
],
[
"Antonio_Giosa",
"playsFor",
"A.C._Lumezzane"
],
[
"Antonio_Giosa",
"playsFor",
"Calcio_Como"
],
[
"Antonio_Giosa",
"playsFor",
"Vicenza_Calcio"
],
[
"Ayub_Daud",
"hasGender",
"male"
],
[
"Ayub_Daud",
"isAffiliatedTo",
"A.C._Cuneo_1905"
],
[
"Ayub_Daud",
"playsFor",
"A.C._Cuneo_1905"
],
[
"Ayub_Daud",
"playsFor",
"A.C._Lumezzane"
],
[
"Biagio_Pagano",
"hasGender",
"male"
],
[
"Biagio_Pagano",
"playsFor",
"A.C._Lumezzane"
],
[
"Biagio_Pagano",
"playsFor",
"Torino_F.C."
],
[
"Cristian_Brocchi",
"hasGender",
"male"
],
[
"Cristian_Brocchi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Cristian_Brocchi",
"isAffiliatedTo",
"A.C._Milan"
],
[
"Cristian_Brocchi",
"playsFor",
"A.C._Lumezzane"
],
[
"Cristian_Brocchi",
"playsFor",
"A.C._Milan"
],
[
"Davide_Mandelli",
"hasGender",
"male"
],
[
"Davide_Mandelli",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Davide_Mandelli",
"isAffiliatedTo",
"A.C._Monza_Brianza_1912"
],
[
"Davide_Mandelli",
"isAffiliatedTo",
"A.C._Siena"
],
[
"Davide_Mandelli",
"isAffiliatedTo",
"A.S.D._Junior_Biellese_Libertas"
],
[
"Davide_Mandelli",
"isAffiliatedTo",
"Torino_F.C."
],
[
"Davide_Mandelli",
"playsFor",
"A.C._Lumezzane"
],
[
"Davide_Mandelli",
"playsFor",
"A.C._Monza_Brianza_1912"
],
[
"Davide_Mandelli",
"playsFor",
"A.C._Siena"
],
[
"Davide_Mandelli",
"playsFor",
"A.S.D._Junior_Biellese_Libertas"
],
[
"Davide_Mandelli",
"playsFor",
"Torino_F.C."
],
[
"Davide_Nicola",
"hasGender",
"male"
],
[
"Davide_Nicola",
"playsFor",
"A.C._Lumezzane"
],
[
"Davide_Nicola",
"playsFor",
"A.C._Siena"
],
[
"Davide_Nicola",
"playsFor",
"A.S.D._Fidelis_Andria_1928"
],
[
"Davide_Nicola",
"playsFor",
"Delfino_Pescara_1936"
],
[
"Davide_Nicola",
"playsFor",
"Genoa_C.F.C."
],
[
"Davide_Nicola",
"playsFor",
"Ravenna_F.C."
],
[
"Davide_Nicola",
"playsFor",
"Spezia_Calcio"
],
[
"Davide_Nicola",
"playsFor",
"Ternana_Calcio"
],
[
"Davide_Nicola",
"playsFor",
"Torino_F.C."
],
[
"Davide_Sinigaglia",
"hasGender",
"male"
],
[
"Davide_Sinigaglia",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Davide_Sinigaglia",
"isAffiliatedTo",
"A.C._Meda_1913"
],
[
"Davide_Sinigaglia",
"isAffiliatedTo",
"A.C._Monza_Brianza_1912"
],
[
"Davide_Sinigaglia",
"isAffiliatedTo",
"Genoa_C.F.C."
],
[
"Davide_Sinigaglia",
"isAffiliatedTo",
"Novara_Calcio"
],
[
"Davide_Sinigaglia",
"isAffiliatedTo",
"S.S._Virtus_Lanciano_1924"
],
[
"Davide_Sinigaglia",
"isAffiliatedTo",
"Ternana_Calcio"
],
[
"Davide_Sinigaglia",
"playsFor",
"A.C._Lumezzane"
],
[
"Davide_Sinigaglia",
"playsFor",
"A.C._Meda_1913"
],
[
"Davide_Sinigaglia",
"playsFor",
"A.C._Monza_Brianza_1912"
],
[
"Davide_Sinigaglia",
"playsFor",
"Genoa_C.F.C."
],
[
"Davide_Sinigaglia",
"playsFor",
"Novara_Calcio"
],
[
"Davide_Sinigaglia",
"playsFor",
"S.S._Virtus_Lanciano_1924"
],
[
"Davide_Sinigaglia",
"playsFor",
"Ternana_Calcio"
],
[
"E.J._Feihl",
"hasGender",
"male"
],
[
"E.J._Feihl",
"playsFor",
"A.C._Lumezzane"
],
[
"E.J._Feihl",
"playsFor",
"Ternana_Calcio"
],
[
"Emanuele_Morini",
"hasGender",
"male"
],
[
"Emanuele_Morini",
"playsFor",
"A.C._Lumezzane"
],
[
"Emanuele_Morini",
"playsFor",
"A.S._Roma"
],
[
"Emanuele_Morini",
"playsFor",
"Foggia_Calcio"
],
[
"Emanuele_Morini",
"playsFor",
"PFC_Botev_Plovdiv"
],
[
"Emanuele_Morini",
"playsFor",
"Vicenza_Calcio"
],
[
"Filippo_Antonelli",
"hasGender",
"male"
],
[
"Filippo_Antonelli",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Filippo_Antonelli",
"isAffiliatedTo",
"A.C._Monza_Brianza_1912"
],
[
"Filippo_Antonelli",
"isAffiliatedTo",
"Aurora_Pro_Patria_1919"
],
[
"Filippo_Antonelli",
"isAffiliatedTo",
"Delfino_Pescara_1936"
],
[
"Filippo_Antonelli",
"isAffiliatedTo",
"Torino_F.C."
],
[
"Filippo_Antonelli",
"isAffiliatedTo",
"U.C._AlbinoLeffe"
],
[
"Filippo_Antonelli",
"isAffiliatedTo",
"Unione_Triestina_2012_S.S.D."
],
[
"Filippo_Antonelli",
"playsFor",
"A.C._Lumezzane"
],
[
"Filippo_Antonelli",
"playsFor",
"A.C._Monza_Brianza_1912"
],
[
"Filippo_Antonelli",
"playsFor",
"Aurora_Pro_Patria_1919"
],
[
"Filippo_Antonelli",
"playsFor",
"Delfino_Pescara_1936"
],
[
"Filippo_Antonelli",
"playsFor",
"Torino_F.C."
],
[
"Filippo_Antonelli",
"playsFor",
"U.C._AlbinoLeffe"
],
[
"Filippo_Antonelli",
"playsFor",
"Unione_Triestina_2012_S.S.D."
],
[
"Francesco_Benussi",
"hasGender",
"male"
],
[
"Francesco_Benussi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Francesco_Benussi",
"isAffiliatedTo",
"A.C._Siena"
],
[
"Francesco_Benussi",
"isAffiliatedTo",
"F.B.C._Unione_Venezia"
],
[
"Francesco_Benussi",
"isAffiliatedTo",
"Torino_F.C."
],
[
"Francesco_Benussi",
"playsFor",
"A.C._Lumezzane"
],
[
"Francesco_Benussi",
"playsFor",
"A.C._Siena"
],
[
"Francesco_Benussi",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Francesco_Benussi",
"playsFor",
"Torino_F.C."
],
[
"Gabriel_Sénac_de_Meilhan",
"hasGender",
"male"
],
[
"Gabriel_Sénac_de_Meilhan",
"playsFor",
"A.C._Lumezzane"
],
[
"Gabriel_Sénac_de_Meilhan",
"playsFor",
"A.C._Siena"
],
[
"Gabriel_Sénac_de_Meilhan",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Gabriel_Sénac_de_Meilhan",
"playsFor",
"Torino_F.C."
],
[
"Gerard_Crole",
"hasGender",
"male"
],
[
"Gerard_Crole",
"playsFor",
"A.C._Lumezzane"
],
[
"Gerard_Crole",
"playsFor",
"Brescia_Calcio"
],
[
"Giovanni_Arioli",
"hasGender",
"male"
],
[
"Giovanni_Arioli",
"playsFor",
"A.C._Lumezzane"
],
[
"Giovanni_Arioli",
"playsFor",
"Aurora_Pro_Patria_1919"
],
[
"Lorenzo_Pinamonte",
"hasGender",
"male"
],
[
"Lorenzo_Pinamonte",
"playsFor",
"A.C._Lumezzane"
],
[
"Lorenzo_Pinamonte",
"playsFor",
"Novara_Calcio"
],
[
"Luis_Fernando_Centi",
"hasGender",
"male"
],
[
"Luis_Fernando_Centi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Luis_Fernando_Centi",
"isAffiliatedTo",
"Aurora_Pro_Patria_1919"
],
[
"Luis_Fernando_Centi",
"isAffiliatedTo",
"Calcio_Como"
],
[
"Luis_Fernando_Centi",
"isAffiliatedTo",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Luis_Fernando_Centi",
"playsFor",
"A.C._Lumezzane"
],
[
"Luis_Fernando_Centi",
"playsFor",
"Aurora_Pro_Patria_1919"
],
[
"Luis_Fernando_Centi",
"playsFor",
"Calcio_Como"
],
[
"Luis_Fernando_Centi",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Maksim_Petrenko",
"hasGender",
"male"
],
[
"Manuel_Belleri",
"hasGender",
"male"
],
[
"Manuel_Belleri",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Manuel_Belleri",
"playsFor",
"A.C._Lumezzane"
],
[
"Marco_Ambrosio",
"hasGender",
"male"
],
[
"Marco_Ambrosio",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Marco_Ambrosio",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Marco_Ambrosio",
"isAffiliatedTo",
"Ravenna_F.C."
],
[
"Marco_Ambrosio",
"playsFor",
"A.C._Lumezzane"
],
[
"Marco_Ambrosio",
"playsFor",
"Brescia_Calcio"
],
[
"Marco_Ambrosio",
"playsFor",
"Ravenna_F.C."
],
[
"Marco_Cassetti",
"hasGender",
"male"
],
[
"Marco_Cassetti",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Marco_Cassetti",
"isAffiliatedTo",
"A.S._Roma"
],
[
"Marco_Cassetti",
"playsFor",
"A.C._Lumezzane"
],
[
"Marco_Cassetti",
"playsFor",
"A.S._Roma"
],
[
"Marco_Malagò",
"hasGender",
"male"
],
[
"Marco_Malagò",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Marco_Malagò",
"isAffiliatedTo",
"A.C._Siena"
],
[
"Marco_Malagò",
"isAffiliatedTo",
"F.B.C._Unione_Venezia"
],
[
"Marco_Malagò",
"isAffiliatedTo",
"Genoa_C.F.C."
],
[
"Marco_Malagò",
"isAffiliatedTo",
"Unione_Triestina_2012_S.S.D."
],
[
"Marco_Malagò",
"playsFor",
"A.C._Lumezzane"
],
[
"Marco_Malagò",
"playsFor",
"A.C._Siena"
],
[
"Marco_Malagò",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Marco_Malagò",
"playsFor",
"Genoa_C.F.C."
],
[
"Marco_Malagò",
"playsFor",
"Unione_Triestina_2012_S.S.D."
],
[
"Marco_Russo",
"hasGender",
"male"
],
[
"Marco_Russo",
"playsFor",
"A.C._Lumezzane"
],
[
"Mario_Balotelli",
"hasGender",
"male"
],
[
"Mario_Balotelli",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Mario_Balotelli",
"isAffiliatedTo",
"A.C._Milan"
],
[
"Mario_Balotelli",
"playsFor",
"A.C._Lumezzane"
],
[
"Mario_Balotelli",
"playsFor",
"A.C._Milan"
],
[
"Mario_Beretta",
"hasGender",
"male"
],
[
"Mario_Beretta",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Mario_Beretta",
"isAffiliatedTo",
"A.C._Siena"
],
[
"Mario_Beretta",
"isAffiliatedTo",
"Brescia_Calcio"
],
[
"Mario_Beretta",
"isAffiliatedTo",
"Ternana_Calcio"
],
[
"Mario_Rebecchi",
"hasGender",
"male"
],
[
"Mario_Rebecchi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Mario_Rebecchi",
"isAffiliatedTo",
"A.S.D._Fidelis_Andria_1928"
],
[
"Mario_Rebecchi",
"isAffiliatedTo",
"Genoa_C.F.C."
],
[
"Mario_Rebecchi",
"playsFor",
"A.C._Lumezzane"
],
[
"Mario_Rebecchi",
"playsFor",
"A.S.D._Fidelis_Andria_1928"
],
[
"Mario_Rebecchi",
"playsFor",
"Genoa_C.F.C."
],
[
"Massimiliano_Brizzi",
"hasGender",
"male"
],
[
"Massimiliano_Brizzi",
"playsFor",
"A.C._Lumezzane"
],
[
"Massimiliano_Brizzi",
"playsFor",
"A.C._Meda_1913"
],
[
"Massimiliano_Brizzi",
"playsFor",
"Aurora_Pro_Patria_1919"
],
[
"Massimiliano_Brizzi",
"playsFor",
"Calcio_Como"
],
[
"Massimiliano_Brizzi",
"playsFor",
"Novara_Calcio"
],
[
"Massimiliano_Brizzi",
"playsFor",
"PFC_Botev_Plovdiv"
],
[
"Matteo_Contini",
"hasGender",
"male"
],
[
"Matteo_Contini",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Matteo_Contini",
"isAffiliatedTo",
"A.C._Milan"
],
[
"Matteo_Contini",
"isAffiliatedTo",
"A.C._Monza_Brianza_1912"
],
[
"Matteo_Contini",
"isAffiliatedTo",
"A.C._Siena"
],
[
"Matteo_Contini",
"playsFor",
"A.C._Milan"
],
[
"Matteo_Contini",
"playsFor",
"A.C._Monza_Brianza_1912"
],
[
"Matteo_Contini",
"playsFor",
"A.C._Siena"
],
[
"Matteo_Teoldi",
"hasGender",
"male"
],
[
"Matteo_Teoldi",
"playsFor",
"A.C._Lumezzane"
],
[
"Matteo_Teoldi",
"playsFor",
"A.C._Milan"
],
[
"Matteo_Teoldi",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Mauro_Belotti",
"hasGender",
"male"
],
[
"Mauro_Belotti",
"playsFor",
"A.C._Lumezzane"
],
[
"Mauro_Belotti",
"playsFor",
"A.C._Pavia"
],
[
"Mauro_Belotti",
"playsFor",
"U.C._AlbinoLeffe"
],
[
"Mauro_Minelli",
"hasGender",
"male"
],
[
"Mauro_Minelli",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Mauro_Minelli",
"isAffiliatedTo",
"U.C._AlbinoLeffe"
],
[
"Mauro_Minelli",
"isAffiliatedTo",
"Unione_Triestina_2012_S.S.D."
],
[
"Mauro_Minelli",
"playsFor",
"A.C._Lumezzane"
],
[
"Mauro_Minelli",
"playsFor",
"U.C._AlbinoLeffe"
],
[
"Mauro_Minelli",
"playsFor",
"Unione_Triestina_2012_S.S.D."
],
[
"Michele_Marcolini",
"hasGender",
"male"
],
[
"Michele_Marcolini",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Michele_Marcolini",
"isAffiliatedTo",
"Torino_F.C."
],
[
"Michele_Marcolini",
"isAffiliatedTo",
"Vicenza_Calcio"
],
[
"Michele_Marcolini",
"playsFor",
"Torino_F.C."
],
[
"Michele_Marcolini",
"playsFor",
"Vicenza_Calcio"
],
[
"Michele_Marconi",
"hasGender",
"male"
],
[
"Michele_Marconi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Michele_Marconi",
"isAffiliatedTo",
"A.C._Pavia"
],
[
"Michele_Marconi",
"isAffiliatedTo",
"F.B.C._Unione_Venezia"
],
[
"Michele_Marconi",
"playsFor",
"A.C._Lumezzane"
],
[
"Michele_Marconi",
"playsFor",
"A.C._Pavia"
],
[
"Michele_Marconi",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Mirco_Gasparetto",
"hasGender",
"male"
],
[
"Mirco_Gasparetto",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Mirco_Gasparetto",
"isAffiliatedTo",
"A.C._Milan"
],
[
"Mirco_Gasparetto",
"isAffiliatedTo",
"Genoa_C.F.C."
],
[
"Mirco_Gasparetto",
"playsFor",
"A.C._Lumezzane"
],
[
"Mirco_Gasparetto",
"playsFor",
"A.C._Milan"
],
[
"Mirco_Gasparetto",
"playsFor",
"Genoa_C.F.C."
],
[
"Nello_Russo",
"hasGender",
"male"
],
[
"Nello_Russo",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Nello_Russo",
"isAffiliatedTo",
"A.C._Monza_Brianza_1912"
],
[
"Nello_Russo",
"isAffiliatedTo",
"Delfino_Pescara_1936"
],
[
"Nello_Russo",
"isAffiliatedTo",
"Spezia_Calcio"
],
[
"Nello_Russo",
"isAffiliatedTo",
"U.C._AlbinoLeffe"
],
[
"Nello_Russo",
"playsFor",
"A.C._Lumezzane"
],
[
"Nello_Russo",
"playsFor",
"A.C._Monza_Brianza_1912"
],
[
"Nello_Russo",
"playsFor",
"Delfino_Pescara_1936"
],
[
"Nello_Russo",
"playsFor",
"Spezia_Calcio"
],
[
"Nello_Russo",
"playsFor",
"U.C._AlbinoLeffe"
],
[
"Nicola_Silvestri",
"hasGender",
"male"
],
[
"Nicola_Silvestri",
"playsFor",
"A.C._Lumezzane"
],
[
"Nicola_Silvestri",
"playsFor",
"Brescia_Calcio"
],
[
"Nicola_Silvestri",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Nicola_Silvestri",
"playsFor",
"Genoa_C.F.C."
],
[
"Nicola_Silvestri",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Nicola_Silvestri",
"playsFor",
"S.S._Virtus_Lanciano_1924"
],
[
"Nicola_Silvestri",
"playsFor",
"Unione_Triestina_2012_S.S.D."
],
[
"Omar_Torri",
"hasGender",
"male"
],
[
"Omar_Torri",
"playsFor",
"A.C._Cuneo_1905"
],
[
"Omar_Torri",
"playsFor",
"A.C._Lumezzane"
],
[
"Omar_Torri",
"playsFor",
"A.C._Milan"
],
[
"Omar_Torri",
"playsFor",
"A.C._Monza_Brianza_1912"
],
[
"Omar_Torri",
"playsFor",
"A.C._Pavia"
],
[
"Omar_Torri",
"playsFor",
"A.S.D._Junior_Biellese_Libertas"
],
[
"Omar_Torri",
"playsFor",
"F.C._AlzanoCene_1909"
],
[
"Omar_Torri",
"playsFor",
"U.C._AlbinoLeffe"
],
[
"Oscar_Brevi",
"hasGender",
"male"
],
[
"Oscar_Brevi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Oscar_Brevi",
"isAffiliatedTo",
"Calcio_Como"
],
[
"Oscar_Brevi",
"isAffiliatedTo",
"F.B.C._Unione_Venezia"
],
[
"Oscar_Brevi",
"isAffiliatedTo",
"Torino_F.C."
],
[
"Oscar_Brevi",
"playsFor",
"A.C._Lumezzane"
],
[
"Oscar_Brevi",
"playsFor",
"Calcio_Como"
],
[
"Oscar_Brevi",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Oscar_Brevi",
"playsFor",
"Torino_F.C."
],
[
"Patrick_Kalambay",
"hasGender",
"male"
],
[
"Patrick_Kalambay",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Patrick_Kalambay",
"isAffiliatedTo",
"A.C._Milan"
],
[
"Patrick_Kalambay",
"isAffiliatedTo",
"Calcio_Como"
],
[
"Patrick_Kalambay",
"isAffiliatedTo",
"Unione_Triestina_2012_S.S.D."
],
[
"Patrick_Kalambay",
"playsFor",
"A.C._Lumezzane"
],
[
"Patrick_Kalambay",
"playsFor",
"A.C._Milan"
],
[
"Patrick_Kalambay",
"playsFor",
"Calcio_Como"
],
[
"Patrick_Kalambay",
"playsFor",
"Unione_Triestina_2012_S.S.D."
],
[
"Rej_Volpato",
"hasGender",
"male"
],
[
"Rej_Volpato",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Rej_Volpato",
"isAffiliatedTo",
"A.C._Siena"
],
[
"Rej_Volpato",
"isAffiliatedTo",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Rej_Volpato",
"playsFor",
"A.C._Lumezzane"
],
[
"Rej_Volpato",
"playsFor",
"A.C._Siena"
],
[
"Rej_Volpato",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Riccardo_Maniero",
"hasGender",
"male"
],
[
"Riccardo_Maniero",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Riccardo_Maniero",
"isAffiliatedTo",
"Delfino_Pescara_1936"
],
[
"Riccardo_Maniero",
"isAffiliatedTo",
"Ternana_Calcio"
],
[
"Riccardo_Maniero",
"playsFor",
"A.C._Lumezzane"
],
[
"Riccardo_Maniero",
"playsFor",
"Delfino_Pescara_1936"
],
[
"Riccardo_Maniero",
"playsFor",
"Ternana_Calcio"
],
[
"Roberto_Previtali",
"hasGender",
"male"
],
[
"Roberto_Previtali",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Roberto_Previtali",
"isAffiliatedTo",
"F.C._AlzanoCene_1909"
],
[
"Roberto_Previtali",
"isAffiliatedTo",
"Spezia_Calcio"
],
[
"Roberto_Previtali",
"isAffiliatedTo",
"U.C._AlbinoLeffe"
],
[
"Roberto_Previtali",
"playsFor",
"A.C._Lumezzane"
],
[
"Roberto_Previtali",
"playsFor",
"F.C._AlzanoCene_1909"
],
[
"Roberto_Previtali",
"playsFor",
"Spezia_Calcio"
],
[
"Roberto_Previtali",
"playsFor",
"U.C._AlbinoLeffe"
],
[
"Salvatore_Ferraro",
"hasGender",
"male"
],
[
"Salvatore_Ferraro",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Salvatore_Ferraro",
"isAffiliatedTo",
"A.C._Milan"
],
[
"Salvatore_Ferraro",
"isAffiliatedTo",
"A.C._Pavia"
],
[
"Salvatore_Ferraro",
"isAffiliatedTo",
"S.S._Virtus_Lanciano_1924"
],
[
"Salvatore_Ferraro",
"isAffiliatedTo",
"Ternana_Calcio"
],
[
"Salvatore_Ferraro",
"playsFor",
"A.C._Lumezzane"
],
[
"Salvatore_Ferraro",
"playsFor",
"A.C._Milan"
],
[
"Salvatore_Ferraro",
"playsFor",
"A.C._Pavia"
],
[
"Salvatore_Ferraro",
"playsFor",
"S.S._Virtus_Lanciano_1924"
],
[
"Salvatore_Ferraro",
"playsFor",
"Ternana_Calcio"
],
[
"Salvatore_Masiello",
"hasGender",
"male"
],
[
"Salvatore_Masiello",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Salvatore_Masiello",
"isAffiliatedTo",
"F.B.C._Unione_Venezia"
],
[
"Salvatore_Masiello",
"isAffiliatedTo",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Salvatore_Masiello",
"isAffiliatedTo",
"Torino_F.C."
],
[
"Salvatore_Masiello",
"isAffiliatedTo",
"Vicenza_Calcio"
],
[
"Salvatore_Masiello",
"playsFor",
"A.C._Lumezzane"
],
[
"Salvatore_Masiello",
"playsFor",
"F.B.C._Unione_Venezia"
],
[
"Salvatore_Masiello",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Salvatore_Masiello",
"playsFor",
"Torino_F.C."
],
[
"Salvatore_Masiello",
"playsFor",
"Vicenza_Calcio"
],
[
"Simone_Grippo",
"hasGender",
"male"
],
[
"Simone_Grippo",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Simone_Grippo",
"isAffiliatedTo",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Simone_Grippo",
"playsFor",
"A.C._Lumezzane"
],
[
"Simone_Grippo",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Simone_Inzaghi",
"hasGender",
"male"
],
[
"Simone_Inzaghi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Simone_Inzaghi",
"isAffiliatedTo",
"Novara_Calcio"
],
[
"Simone_Inzaghi",
"isAffiliatedTo",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Simone_Inzaghi",
"playsFor",
"A.C._Lumezzane"
],
[
"Simone_Inzaghi",
"playsFor",
"Novara_Calcio"
],
[
"Simone_Inzaghi",
"playsFor",
"S.S.D._Piacenza_Calcio_1919"
],
[
"Tommaso_Chiecchi",
"hasGender",
"male"
],
[
"Tommaso_Chiecchi",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Tommaso_Chiecchi",
"isAffiliatedTo",
"Aurora_Pro_Patria_1919"
],
[
"Tommaso_Chiecchi",
"isAffiliatedTo",
"Foggia_Calcio"
],
[
"Tommaso_Chiecchi",
"playsFor",
"A.C._Lumezzane"
],
[
"Tommaso_Chiecchi",
"playsFor",
"Aurora_Pro_Patria_1919"
],
[
"Tommaso_Chiecchi",
"playsFor",
"Foggia_Calcio"
],
[
"Vincenzo_Italiano",
"hasGender",
"male"
],
[
"Vincenzo_Italiano",
"isAffiliatedTo",
"A.C._Lumezzane"
],
[
"Vincenzo_Italiano",
"isAffiliatedTo",
"Genoa_C.F.C."
],
[
"Vincenzo_Italiano",
"playsFor",
"A.C._Lumezzane"
],
[
"Vincenzo_Italiano",
"playsFor",
"Genoa_C.F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
118473, Blažo_Rajović
87142, Boban_Čabarkapa
106778, Bojan_Božović
64764, Branko_Brnović
32134, Dejan_Vukadinović
64093, FK_Borac_Čačak
75283, FK_Budućnost_Podgorica
114117, FK_Dečić
48781, FK_Kom
107798, FK_Mornar
53563, FK_Sloboda_Užice
51817, FK_Zeta
54400, FK_Železnik
37577, Goran_Perišić
103101, Igor_Stanisavljević
116978, Krzysztof_Penderecki
83624, Maasoum_Abdah_Mouhammad
34414, Marko_Čolaković
70460, Milan_Đurišić
38, Miloš_Đalac
39336, Mladen_Božović
49083, Montenegro_national_under-21_football_team
25600, Nemanja_Vuković
73235, Neđeljko_Vlahović
12464, OFK_Grbalj
20396, Predrag_Mijatović
36732, Rade_Petrović
80430, Radislav_Dragićević
598, Srđan_Blažić
40792, Srđan_Kljajević
122641, Vladimir_Božović
48061, Vladimir_Nikitović
30367, Vladimir_Popović_(footballer_born_1976)
118104, male
src, edge_attr, dst
118473, hasGender, 118104
118473, isAffiliatedTo, 75283
118473, isAffiliatedTo, 114117
118473, isAffiliatedTo, 48781
118473, isAffiliatedTo, 49083
118473, playsFor, 75283
118473, playsFor, 114117
118473, playsFor, 48781
118473, playsFor, 49083
87142, hasGender, 118104
87142, isAffiliatedTo, 75283
87142, isAffiliatedTo, 114117
87142, isAffiliatedTo, 48781
87142, isAffiliatedTo, 49083
87142, playsFor, 75283
87142, playsFor, 114117
87142, playsFor, 48781
106778, hasGender, 118104
106778, isAffiliatedTo, 75283
106778, isAffiliatedTo, 48781
106778, playsFor, 48781
64764, hasGender, 118104
64764, isAffiliatedTo, 75283
64764, isAffiliatedTo, 48781
64764, playsFor, 75283
64764, playsFor, 48781
32134, hasGender, 118104
32134, isAffiliatedTo, 75283
32134, isAffiliatedTo, 48781
32134, playsFor, 75283
32134, playsFor, 48781
37577, hasGender, 118104
37577, isAffiliatedTo, 75283
37577, isAffiliatedTo, 48781
37577, playsFor, 75283
37577, playsFor, 48781
103101, hasGender, 118104
103101, playsFor, 64093
103101, playsFor, 75283
103101, playsFor, 48781
103101, playsFor, 53563
103101, playsFor, 54400
116978, hasGender, 118104
83624, hasGender, 118104
83624, playsFor, 48781
83624, playsFor, 53563
34414, isAffiliatedTo, 48781
34414, isAffiliatedTo, 51817
34414, playsFor, 51817
70460, hasGender, 118104
70460, isAffiliatedTo, 75283
70460, isAffiliatedTo, 48781
70460, isAffiliatedTo, 49083
70460, playsFor, 75283
70460, playsFor, 48781
70460, playsFor, 49083
38, hasGender, 118104
38, playsFor, 114117
38, playsFor, 48781
38, playsFor, 107798
38, playsFor, 51817
38, playsFor, 12464
39336, hasGender, 118104
39336, isAffiliatedTo, 75283
39336, isAffiliatedTo, 48781
39336, playsFor, 75283
39336, playsFor, 48781
25600, hasGender, 118104
25600, isAffiliatedTo, 75283
25600, isAffiliatedTo, 48781
25600, isAffiliatedTo, 12464
25600, playsFor, 75283
25600, playsFor, 48781
25600, playsFor, 12464
73235, isAffiliatedTo, 75283
73235, isAffiliatedTo, 48781
73235, playsFor, 75283
73235, playsFor, 48781
20396, hasGender, 118104
20396, isAffiliatedTo, 75283
20396, isAffiliatedTo, 48781
20396, playsFor, 75283
36732, hasGender, 118104
36732, isAffiliatedTo, 64093
36732, isAffiliatedTo, 75283
36732, isAffiliatedTo, 48781
36732, isAffiliatedTo, 12464
36732, playsFor, 64093
36732, playsFor, 75283
36732, playsFor, 48781
36732, playsFor, 12464
80430, hasGender, 118104
80430, isAffiliatedTo, 64093
80430, isAffiliatedTo, 75283
80430, isAffiliatedTo, 48781
80430, playsFor, 64093
80430, playsFor, 75283
80430, playsFor, 48781
598, hasGender, 118104
598, isAffiliatedTo, 75283
598, isAffiliatedTo, 48781
598, isAffiliatedTo, 107798
598, playsFor, 75283
598, playsFor, 48781
598, playsFor, 107798
40792, hasGender, 118104
40792, isAffiliatedTo, 48781
40792, isAffiliatedTo, 107798
40792, isAffiliatedTo, 51817
40792, isAffiliatedTo, 12464
40792, playsFor, 48781
40792, playsFor, 107798
40792, playsFor, 51817
40792, playsFor, 12464
122641, hasGender, 118104
122641, isAffiliatedTo, 48781
122641, playsFor, 48781
48061, hasGender, 118104
48061, playsFor, 48781
30367, hasGender, 118104
30367, isAffiliatedTo, 75283
30367, isAffiliatedTo, 48781
30367, isAffiliatedTo, 54400
30367, playsFor, 75283
30367, playsFor, 48781
30367, playsFor, 54400
Question: For what reason are FK_Kom and Krzysztof_Penderecki associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"FK_Kom",
"Krzysztof_Penderecki"
],
"valid_edges": [
[
"Blažo_Rajović",
"hasGender",
"male"
],
[
"Blažo_Rajović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Blažo_Rajović",
"isAffiliatedTo",
"FK_Dečić"
],
[
"Blažo_Rajović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Blažo_Rajović",
"isAffiliatedTo",
"Montenegro_national_under-21_football_team"
],
[
"Blažo_Rajović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Blažo_Rajović",
"playsFor",
"FK_Dečić"
],
[
"Blažo_Rajović",
"playsFor",
"FK_Kom"
],
[
"Blažo_Rajović",
"playsFor",
"Montenegro_national_under-21_football_team"
],
[
"Boban_Čabarkapa",
"hasGender",
"male"
],
[
"Boban_Čabarkapa",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Boban_Čabarkapa",
"isAffiliatedTo",
"FK_Dečić"
],
[
"Boban_Čabarkapa",
"isAffiliatedTo",
"FK_Kom"
],
[
"Boban_Čabarkapa",
"isAffiliatedTo",
"Montenegro_national_under-21_football_team"
],
[
"Boban_Čabarkapa",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Boban_Čabarkapa",
"playsFor",
"FK_Dečić"
],
[
"Boban_Čabarkapa",
"playsFor",
"FK_Kom"
],
[
"Bojan_Božović",
"hasGender",
"male"
],
[
"Bojan_Božović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Bojan_Božović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Bojan_Božović",
"playsFor",
"FK_Kom"
],
[
"Branko_Brnović",
"hasGender",
"male"
],
[
"Branko_Brnović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Branko_Brnović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Branko_Brnović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Branko_Brnović",
"playsFor",
"FK_Kom"
],
[
"Dejan_Vukadinović",
"hasGender",
"male"
],
[
"Dejan_Vukadinović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Vukadinović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Dejan_Vukadinović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Dejan_Vukadinović",
"playsFor",
"FK_Kom"
],
[
"Goran_Perišić",
"hasGender",
"male"
],
[
"Goran_Perišić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Goran_Perišić",
"isAffiliatedTo",
"FK_Kom"
],
[
"Goran_Perišić",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Goran_Perišić",
"playsFor",
"FK_Kom"
],
[
"Igor_Stanisavljević",
"hasGender",
"male"
],
[
"Igor_Stanisavljević",
"playsFor",
"FK_Borac_Čačak"
],
[
"Igor_Stanisavljević",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Igor_Stanisavljević",
"playsFor",
"FK_Kom"
],
[
"Igor_Stanisavljević",
"playsFor",
"FK_Sloboda_Užice"
],
[
"Igor_Stanisavljević",
"playsFor",
"FK_Železnik"
],
[
"Krzysztof_Penderecki",
"hasGender",
"male"
],
[
"Maasoum_Abdah_Mouhammad",
"hasGender",
"male"
],
[
"Maasoum_Abdah_Mouhammad",
"playsFor",
"FK_Kom"
],
[
"Maasoum_Abdah_Mouhammad",
"playsFor",
"FK_Sloboda_Užice"
],
[
"Marko_Čolaković",
"isAffiliatedTo",
"FK_Kom"
],
[
"Marko_Čolaković",
"isAffiliatedTo",
"FK_Zeta"
],
[
"Marko_Čolaković",
"playsFor",
"FK_Zeta"
],
[
"Milan_Đurišić",
"hasGender",
"male"
],
[
"Milan_Đurišić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Milan_Đurišić",
"isAffiliatedTo",
"FK_Kom"
],
[
"Milan_Đurišić",
"isAffiliatedTo",
"Montenegro_national_under-21_football_team"
],
[
"Milan_Đurišić",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Milan_Đurišić",
"playsFor",
"FK_Kom"
],
[
"Milan_Đurišić",
"playsFor",
"Montenegro_national_under-21_football_team"
],
[
"Miloš_Đalac",
"hasGender",
"male"
],
[
"Miloš_Đalac",
"playsFor",
"FK_Dečić"
],
[
"Miloš_Đalac",
"playsFor",
"FK_Kom"
],
[
"Miloš_Đalac",
"playsFor",
"FK_Mornar"
],
[
"Miloš_Đalac",
"playsFor",
"FK_Zeta"
],
[
"Miloš_Đalac",
"playsFor",
"OFK_Grbalj"
],
[
"Mladen_Božović",
"hasGender",
"male"
],
[
"Mladen_Božović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Mladen_Božović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Mladen_Božović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Mladen_Božović",
"playsFor",
"FK_Kom"
],
[
"Nemanja_Vuković",
"hasGender",
"male"
],
[
"Nemanja_Vuković",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Nemanja_Vuković",
"isAffiliatedTo",
"FK_Kom"
],
[
"Nemanja_Vuković",
"isAffiliatedTo",
"OFK_Grbalj"
],
[
"Nemanja_Vuković",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Nemanja_Vuković",
"playsFor",
"FK_Kom"
],
[
"Nemanja_Vuković",
"playsFor",
"OFK_Grbalj"
],
[
"Neđeljko_Vlahović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Neđeljko_Vlahović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Neđeljko_Vlahović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Neđeljko_Vlahović",
"playsFor",
"FK_Kom"
],
[
"Predrag_Mijatović",
"hasGender",
"male"
],
[
"Predrag_Mijatović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Predrag_Mijatović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Predrag_Mijatović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Rade_Petrović",
"hasGender",
"male"
],
[
"Rade_Petrović",
"isAffiliatedTo",
"FK_Borac_Čačak"
],
[
"Rade_Petrović",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Rade_Petrović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Rade_Petrović",
"isAffiliatedTo",
"OFK_Grbalj"
],
[
"Rade_Petrović",
"playsFor",
"FK_Borac_Čačak"
],
[
"Rade_Petrović",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Rade_Petrović",
"playsFor",
"FK_Kom"
],
[
"Rade_Petrović",
"playsFor",
"OFK_Grbalj"
],
[
"Radislav_Dragićević",
"hasGender",
"male"
],
[
"Radislav_Dragićević",
"isAffiliatedTo",
"FK_Borac_Čačak"
],
[
"Radislav_Dragićević",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Radislav_Dragićević",
"isAffiliatedTo",
"FK_Kom"
],
[
"Radislav_Dragićević",
"playsFor",
"FK_Borac_Čačak"
],
[
"Radislav_Dragićević",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Radislav_Dragićević",
"playsFor",
"FK_Kom"
],
[
"Srđan_Blažić",
"hasGender",
"male"
],
[
"Srđan_Blažić",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Srđan_Blažić",
"isAffiliatedTo",
"FK_Kom"
],
[
"Srđan_Blažić",
"isAffiliatedTo",
"FK_Mornar"
],
[
"Srđan_Blažić",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Srđan_Blažić",
"playsFor",
"FK_Kom"
],
[
"Srđan_Blažić",
"playsFor",
"FK_Mornar"
],
[
"Srđan_Kljajević",
"hasGender",
"male"
],
[
"Srđan_Kljajević",
"isAffiliatedTo",
"FK_Kom"
],
[
"Srđan_Kljajević",
"isAffiliatedTo",
"FK_Mornar"
],
[
"Srđan_Kljajević",
"isAffiliatedTo",
"FK_Zeta"
],
[
"Srđan_Kljajević",
"isAffiliatedTo",
"OFK_Grbalj"
],
[
"Srđan_Kljajević",
"playsFor",
"FK_Kom"
],
[
"Srđan_Kljajević",
"playsFor",
"FK_Mornar"
],
[
"Srđan_Kljajević",
"playsFor",
"FK_Zeta"
],
[
"Srđan_Kljajević",
"playsFor",
"OFK_Grbalj"
],
[
"Vladimir_Božović",
"hasGender",
"male"
],
[
"Vladimir_Božović",
"isAffiliatedTo",
"FK_Kom"
],
[
"Vladimir_Božović",
"playsFor",
"FK_Kom"
],
[
"Vladimir_Nikitović",
"hasGender",
"male"
],
[
"Vladimir_Nikitović",
"playsFor",
"FK_Kom"
],
[
"Vladimir_Popović_(footballer_born_1976)",
"hasGender",
"male"
],
[
"Vladimir_Popović_(footballer_born_1976)",
"isAffiliatedTo",
"FK_Budućnost_Podgorica"
],
[
"Vladimir_Popović_(footballer_born_1976)",
"isAffiliatedTo",
"FK_Kom"
],
[
"Vladimir_Popović_(footballer_born_1976)",
"isAffiliatedTo",
"FK_Železnik"
],
[
"Vladimir_Popović_(footballer_born_1976)",
"playsFor",
"FK_Budućnost_Podgorica"
],
[
"Vladimir_Popović_(footballer_born_1976)",
"playsFor",
"FK_Kom"
],
[
"Vladimir_Popović_(footballer_born_1976)",
"playsFor",
"FK_Železnik"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
119881, Dublin
111744, Europe
7755, Krasnystaw
59225, Poland
19205, Shay_Keogh
src, edge_attr, dst
119881, isLocatedIn, 111744
7755, isLocatedIn, 59225
59225, isLocatedIn, 111744
19205, wasBornIn, 119881
Question: For what reason are Krasnystaw and Shay_Keogh associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Krasnystaw",
"Shay_Keogh"
],
"valid_edges": [
[
"Dublin",
"isLocatedIn",
"Europe"
],
[
"Krasnystaw",
"isLocatedIn",
"Poland"
],
[
"Poland",
"isLocatedIn",
"Europe"
],
[
"Shay_Keogh",
"wasBornIn",
"Dublin"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
106482, Alejandro_Sabella
118534, Antonio_Mohamed
77936, Buenos_Aires
109770, Carlos_Alberto_Etcheverry
67128, Damián_Zamogilny
63641, Irapuato_FC
41377, Santiago_Amigorena
64072, Walter_Jiménez
122760, Yari_Allnutt
src, edge_attr, dst
106482, isAffiliatedTo, 63641
106482, playsFor, 63641
106482, wasBornIn, 77936
118534, isAffiliatedTo, 63641
118534, playsFor, 63641
118534, wasBornIn, 77936
109770, isAffiliatedTo, 63641
109770, playsFor, 63641
109770, wasBornIn, 77936
67128, isAffiliatedTo, 63641
67128, playsFor, 63641
67128, wasBornIn, 77936
41377, wasBornIn, 77936
64072, isAffiliatedTo, 63641
64072, playsFor, 63641
64072, wasBornIn, 77936
122760, isAffiliatedTo, 63641
122760, playsFor, 63641
Question: In what context are Santiago_Amigorena and Yari_Allnutt connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Santiago_Amigorena",
"Yari_Allnutt"
],
"valid_edges": [
[
"Alejandro_Sabella",
"isAffiliatedTo",
"Irapuato_FC"
],
[
"Alejandro_Sabella",
"playsFor",
"Irapuato_FC"
],
[
"Alejandro_Sabella",
"wasBornIn",
"Buenos_Aires"
],
[
"Antonio_Mohamed",
"isAffiliatedTo",
"Irapuato_FC"
],
[
"Antonio_Mohamed",
"playsFor",
"Irapuato_FC"
],
[
"Antonio_Mohamed",
"wasBornIn",
"Buenos_Aires"
],
[
"Carlos_Alberto_Etcheverry",
"isAffiliatedTo",
"Irapuato_FC"
],
[
"Carlos_Alberto_Etcheverry",
"playsFor",
"Irapuato_FC"
],
[
"Carlos_Alberto_Etcheverry",
"wasBornIn",
"Buenos_Aires"
],
[
"Damián_Zamogilny",
"isAffiliatedTo",
"Irapuato_FC"
],
[
"Damián_Zamogilny",
"playsFor",
"Irapuato_FC"
],
[
"Damián_Zamogilny",
"wasBornIn",
"Buenos_Aires"
],
[
"Santiago_Amigorena",
"wasBornIn",
"Buenos_Aires"
],
[
"Walter_Jiménez",
"isAffiliatedTo",
"Irapuato_FC"
],
[
"Walter_Jiménez",
"playsFor",
"Irapuato_FC"
],
[
"Walter_Jiménez",
"wasBornIn",
"Buenos_Aires"
],
[
"Yari_Allnutt",
"isAffiliatedTo",
"Irapuato_FC"
],
[
"Yari_Allnutt",
"playsFor",
"Irapuato_FC"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
68014, John_Sulston
23391, Lars_Krogh_Jeppesen
56665, Nordsjælland_Håndbold
118104, male
src, edge_attr, dst
68014, hasGender, 118104
23391, hasGender, 118104
23391, isAffiliatedTo, 56665
23391, playsFor, 56665
Question: How are John_Sulston and Nordsjælland_Håndbold related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"John_Sulston",
"Nordsjælland_Håndbold"
],
"valid_edges": [
[
"John_Sulston",
"hasGender",
"male"
],
[
"Lars_Krogh_Jeppesen",
"hasGender",
"male"
],
[
"Lars_Krogh_Jeppesen",
"isAffiliatedTo",
"Nordsjælland_Håndbold"
],
[
"Lars_Krogh_Jeppesen",
"playsFor",
"Nordsjælland_Håndbold"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
53845, José_Manuel_Velázquez
22368, Ozzy_Osbourne
118104, male
src, edge_attr, dst
53845, hasGender, 118104
22368, hasGender, 118104
Question: In what context are José_Manuel_Velázquez and Ozzy_Osbourne connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"José_Manuel_Velázquez",
"Ozzy_Osbourne"
],
"valid_edges": [
[
"José_Manuel_Velázquez",
"hasGender",
"male"
],
[
"Ozzy_Osbourne",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
15297, Bernhard_Fernow
6165, Christian_Karembeu
103309, Claude_Makélélé
49194, Gordon_St._Angelo
105208, Michael_Essien
20266, Otis_R._Bowen
82329, Queensbury,_New_York
79396, Real_Madrid_C.F.
6920, SC_Bastia
29157, United_States
src, edge_attr, dst
15297, isCitizenOf, 29157
15297, playsFor, 6920
6165, isAffiliatedTo, 79396
6165, isAffiliatedTo, 6920
6165, playsFor, 79396
6165, playsFor, 6920
103309, isAffiliatedTo, 79396
103309, isAffiliatedTo, 6920
103309, playsFor, 79396
49194, isCitizenOf, 29157
49194, playsFor, 79396
105208, isAffiliatedTo, 79396
105208, isAffiliatedTo, 6920
105208, playsFor, 79396
105208, playsFor, 6920
20266, isPoliticianOf, 29157
20266, playsFor, 79396
82329, isLocatedIn, 29157
Question: For what reason are Christian_Karembeu and Queensbury,_New_York associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Christian_Karembeu",
"Queensbury,_New_York"
],
"valid_edges": [
[
"Bernhard_Fernow",
"isCitizenOf",
"United_States"
],
[
"Bernhard_Fernow",
"playsFor",
"SC_Bastia"
],
[
"Christian_Karembeu",
"isAffiliatedTo",
"Real_Madrid_C.F."
],
[
"Christian_Karembeu",
"isAffiliatedTo",
"SC_Bastia"
],
[
"Christian_Karembeu",
"playsFor",
"Real_Madrid_C.F."
],
[
"Christian_Karembeu",
"playsFor",
"SC_Bastia"
],
[
"Claude_Makélélé",
"isAffiliatedTo",
"Real_Madrid_C.F."
],
[
"Claude_Makélélé",
"isAffiliatedTo",
"SC_Bastia"
],
[
"Claude_Makélélé",
"playsFor",
"Real_Madrid_C.F."
],
[
"Gordon_St._Angelo",
"isCitizenOf",
"United_States"
],
[
"Gordon_St._Angelo",
"playsFor",
"Real_Madrid_C.F."
],
[
"Michael_Essien",
"isAffiliatedTo",
"Real_Madrid_C.F."
],
[
"Michael_Essien",
"isAffiliatedTo",
"SC_Bastia"
],
[
"Michael_Essien",
"playsFor",
"Real_Madrid_C.F."
],
[
"Michael_Essien",
"playsFor",
"SC_Bastia"
],
[
"Otis_R._Bowen",
"isPoliticianOf",
"United_States"
],
[
"Otis_R._Bowen",
"playsFor",
"Real_Madrid_C.F."
],
[
"Queensbury,_New_York",
"isLocatedIn",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
97969, Brian_Priske
110139, Horsens
54894, Horsens_Municipality
8764, Seungsahn
18647, Simon_Kjær
118104, male
src, edge_attr, dst
97969, hasGender, 118104
97969, wasBornIn, 110139
110139, isLocatedIn, 54894
8764, hasGender, 118104
18647, hasGender, 118104
18647, wasBornIn, 110139
Question: For what reason are Horsens_Municipality and Seungsahn associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Horsens_Municipality",
"Seungsahn"
],
"valid_edges": [
[
"Brian_Priske",
"hasGender",
"male"
],
[
"Brian_Priske",
"wasBornIn",
"Horsens"
],
[
"Horsens",
"isLocatedIn",
"Horsens_Municipality"
],
[
"Seungsahn",
"hasGender",
"male"
],
[
"Simon_Kjær",
"hasGender",
"male"
],
[
"Simon_Kjær",
"wasBornIn",
"Horsens"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
88201, Ankara
33673, Aytek_Genc
46285, Ian_Henderson_(footballer)
27239, Luton_Town_F.C.
113812, MKE_Ankaragücü
src, edge_attr, dst
33673, wasBornIn, 88201
46285, isAffiliatedTo, 27239
46285, isAffiliatedTo, 113812
46285, playsFor, 27239
46285, playsFor, 113812
113812, isLocatedIn, 88201
Question: In what context are Aytek_Genc and Luton_Town_F.C. connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Aytek_Genc",
"Luton_Town_F.C."
],
"valid_edges": [
[
"Aytek_Genc",
"wasBornIn",
"Ankara"
],
[
"Ian_Henderson_(footballer)",
"isAffiliatedTo",
"Luton_Town_F.C."
],
[
"Ian_Henderson_(footballer)",
"isAffiliatedTo",
"MKE_Ankaragücü"
],
[
"Ian_Henderson_(footballer)",
"playsFor",
"Luton_Town_F.C."
],
[
"Ian_Henderson_(footballer)",
"playsFor",
"MKE_Ankaragücü"
],
[
"MKE_Ankaragücü",
"isLocatedIn",
"Ankara"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
25176, Cast_a_Giant_Shadow
23948, Neuchâtel
42093, Neuchâtel_District
69478, Switzerland
29157, United_States
src, edge_attr, dst
25176, isLocatedIn, 29157
23948, isLocatedIn, 69478
42093, isLocatedIn, 23948
69478, dealsWith, 29157
Question: For what reason are Cast_a_Giant_Shadow and Neuchâtel_District associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Cast_a_Giant_Shadow",
"Neuchâtel_District"
],
"valid_edges": [
[
"Cast_a_Giant_Shadow",
"isLocatedIn",
"United_States"
],
[
"Neuchâtel",
"isLocatedIn",
"Switzerland"
],
[
"Neuchâtel_District",
"isLocatedIn",
"Neuchâtel"
],
[
"Switzerland",
"dealsWith",
"United_States"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
88154, Ade_Akinbiyi
92787, Adrian_Heath
115847, Alan_Whittle
36382, Billy_Barnes_(footballer)
7775, Bob_Benson
103881, Brett_Angell
41549, Brian_Kidd
99630, Bruce_Dyer
35183, Bruce_Rioch
113319, Carl_Asaba
35106, Carl_Tiler
94694, Charlie_Hartfield
49421, Colin_Kazim-Richards
38102, Coupé_Cloué
109219, Craig_Short
66447, Danny_Cadamarteri
117842, Darius_Henderson
22164, David_Carney
27781, David_Irving_(footballer)
66699, David_Unsworth
2382, David_Weir_(Scottish_footballer)
118092, Don_Hutchison
85314, Earl_Barrett
70270, Everton_F.C.
82142, Fred_White_(footballer_born_1916)
12967, Gary_Ablett_(English_footballer)
29714, Gary_Naysmith
97381, Gary_Speed
113960, Gavin_Crawford_(footballer)
92853, Glyn_Hodges
24757, Graham_Stuart_(footballer)
24317, Herbert_Chapman
120144, Howard_Kendall
29049, Iffy_Onuora
89370, Imre_Varadi
102034, Jack_Kirwan
13148, Jamal_Campbell-Ryce
43931, James_Beattie_(footballer)
90156, James_Wallace_(footballer)
76380, Jermaine_Beckford
72646, Jim_Gannon
122801, Jock_Dodds
8697, Joe_Mercer
63758, John_Halls
122643, John_Matthews_(footballer)
113914, John_Montagu_Douglas_Scott,_7th_Duke_of_Buccleuch
104433, Jose_Baxter
98016, Ken_McNaught
117379, Kenny_Sansom
8016, Kevin_Campbell_(footballer)
50744, Kyel_Reid
40384, Leon_Britton
116002, Li_Tie
45345, London
82704, Marcus_Bent
99492, Mark_Beard_(footballer)
78181, Mark_Bunn_(English_footballer)
50849, Marlon_King
18958, Martin_Peters
98032, Mikele_Leigertwood
30335, Mitch_Ward
77922, Nyron_Nosworthy
105578, Paul_Gerrard
67371, Paul_McGrath_(footballer)
113379, Paul_Parker_(footballer)
83703, Peter_Beagrie
86543, Phil_Jagielka
8278, Richard_Wright_(footballer)
103885, Sheffield_United_F.C.
66840, Stan_Fazackerley
23762, Steve_Simonsen
44297, Stuart_McCall
27799, Terry_Curran
101720, Terry_Phelan
2295, Tommy_Johnson_(footballer_born_1971)
28945, Tony_Cottee
37209, Tony_Hiller
81293, Trevor_Ross
99495, Ugo_Ehiogu
55126, Vinny_Samways
79674, Wally_Downes
src, edge_attr, dst
88154, isAffiliatedTo, 103885
88154, playsFor, 103885
88154, wasBornIn, 45345
92787, isAffiliatedTo, 70270
92787, isAffiliatedTo, 103885
92787, playsFor, 70270
92787, playsFor, 103885
115847, isAffiliatedTo, 70270
115847, isAffiliatedTo, 103885
115847, playsFor, 70270
115847, playsFor, 103885
36382, isAffiliatedTo, 103885
36382, playsFor, 103885
36382, wasBornIn, 45345
7775, diedIn, 45345
7775, isAffiliatedTo, 103885
7775, playsFor, 103885
103881, isAffiliatedTo, 70270
103881, isAffiliatedTo, 103885
103881, playsFor, 70270
103881, playsFor, 103885
41549, isAffiliatedTo, 70270
41549, isAffiliatedTo, 103885
41549, playsFor, 70270
99630, isAffiliatedTo, 103885
99630, playsFor, 103885
99630, wasBornIn, 45345
35183, isAffiliatedTo, 70270
35183, isAffiliatedTo, 103885
35183, playsFor, 70270
35183, playsFor, 103885
113319, isAffiliatedTo, 103885
113319, playsFor, 103885
113319, wasBornIn, 45345
35106, isAffiliatedTo, 70270
35106, isAffiliatedTo, 103885
35106, playsFor, 70270
35106, playsFor, 103885
94694, isAffiliatedTo, 103885
94694, playsFor, 103885
94694, wasBornIn, 45345
49421, isAffiliatedTo, 103885
49421, playsFor, 103885
49421, wasBornIn, 45345
38102, playsFor, 70270
38102, playsFor, 103885
109219, isAffiliatedTo, 70270
109219, isAffiliatedTo, 103885
109219, playsFor, 70270
109219, playsFor, 103885
66447, isAffiliatedTo, 70270
66447, isAffiliatedTo, 103885
66447, playsFor, 70270
66447, playsFor, 103885
117842, isAffiliatedTo, 103885
117842, playsFor, 103885
117842, wasBornIn, 45345
22164, isAffiliatedTo, 70270
22164, isAffiliatedTo, 103885
22164, playsFor, 70270
22164, playsFor, 103885
27781, isAffiliatedTo, 70270
27781, isAffiliatedTo, 103885
27781, playsFor, 70270
27781, playsFor, 103885
66699, isAffiliatedTo, 70270
66699, isAffiliatedTo, 103885
66699, playsFor, 70270
66699, playsFor, 103885
2382, isAffiliatedTo, 70270
2382, isAffiliatedTo, 103885
2382, playsFor, 70270
118092, isAffiliatedTo, 70270
118092, isAffiliatedTo, 103885
118092, playsFor, 70270
118092, playsFor, 103885
85314, isAffiliatedTo, 70270
85314, isAffiliatedTo, 103885
85314, playsFor, 70270
85314, playsFor, 103885
82142, playsFor, 70270
82142, playsFor, 103885
12967, isAffiliatedTo, 70270
12967, isAffiliatedTo, 103885
12967, playsFor, 70270
12967, playsFor, 103885
29714, isAffiliatedTo, 70270
29714, isAffiliatedTo, 103885
29714, playsFor, 70270
29714, playsFor, 103885
97381, isAffiliatedTo, 70270
97381, isAffiliatedTo, 103885
97381, playsFor, 70270
97381, playsFor, 103885
113960, diedIn, 45345
113960, isAffiliatedTo, 103885
113960, playsFor, 103885
92853, isAffiliatedTo, 103885
92853, playsFor, 103885
92853, wasBornIn, 45345
24757, isAffiliatedTo, 70270
24757, isAffiliatedTo, 103885
24757, playsFor, 70270
24757, playsFor, 103885
24317, diedIn, 45345
24317, isAffiliatedTo, 103885
24317, playsFor, 103885
120144, isAffiliatedTo, 70270
120144, isAffiliatedTo, 103885
120144, playsFor, 70270
29049, isAffiliatedTo, 70270
29049, isAffiliatedTo, 103885
29049, playsFor, 103885
89370, isAffiliatedTo, 70270
89370, isAffiliatedTo, 103885
89370, playsFor, 70270
89370, playsFor, 103885
89370, wasBornIn, 45345
102034, diedIn, 45345
102034, isAffiliatedTo, 70270
102034, playsFor, 70270
13148, isAffiliatedTo, 103885
13148, playsFor, 103885
13148, wasBornIn, 45345
43931, isAffiliatedTo, 70270
43931, isAffiliatedTo, 103885
43931, playsFor, 70270
43931, playsFor, 103885
90156, playsFor, 70270
90156, playsFor, 103885
76380, isAffiliatedTo, 70270
76380, playsFor, 70270
76380, wasBornIn, 45345
72646, isAffiliatedTo, 103885
72646, playsFor, 103885
72646, wasBornIn, 45345
122801, isAffiliatedTo, 70270
122801, isAffiliatedTo, 103885
122801, playsFor, 70270
122801, playsFor, 103885
8697, isAffiliatedTo, 70270
8697, isAffiliatedTo, 103885
8697, playsFor, 70270
63758, isAffiliatedTo, 103885
63758, playsFor, 103885
63758, wasBornIn, 45345
122643, isAffiliatedTo, 103885
122643, playsFor, 103885
122643, wasBornIn, 45345
113914, playsFor, 70270
113914, wasBornIn, 45345
104433, isAffiliatedTo, 70270
104433, isAffiliatedTo, 103885
104433, playsFor, 70270
104433, playsFor, 103885
98016, isAffiliatedTo, 70270
98016, isAffiliatedTo, 103885
98016, playsFor, 70270
98016, playsFor, 103885
117379, isAffiliatedTo, 70270
117379, playsFor, 70270
117379, wasBornIn, 45345
8016, isAffiliatedTo, 70270
8016, playsFor, 70270
8016, wasBornIn, 45345
50744, isAffiliatedTo, 103885
50744, playsFor, 103885
50744, wasBornIn, 45345
40384, isAffiliatedTo, 103885
40384, playsFor, 103885
40384, wasBornIn, 45345
116002, isAffiliatedTo, 70270
116002, isAffiliatedTo, 103885
116002, playsFor, 70270
116002, playsFor, 103885
82704, isAffiliatedTo, 70270
82704, isAffiliatedTo, 103885
82704, playsFor, 70270
82704, playsFor, 103885
82704, wasBornIn, 45345
99492, isAffiliatedTo, 103885
99492, playsFor, 103885
99492, wasBornIn, 45345
78181, isAffiliatedTo, 103885
78181, playsFor, 103885
78181, wasBornIn, 45345
50849, isAffiliatedTo, 103885
50849, playsFor, 103885
50849, wasBornIn, 45345
18958, isAffiliatedTo, 103885
18958, playsFor, 103885
18958, wasBornIn, 45345
98032, isAffiliatedTo, 103885
98032, playsFor, 103885
98032, wasBornIn, 45345
30335, isAffiliatedTo, 70270
30335, isAffiliatedTo, 103885
30335, playsFor, 70270
30335, playsFor, 103885
77922, isAffiliatedTo, 103885
77922, playsFor, 103885
77922, wasBornIn, 45345
105578, isAffiliatedTo, 70270
105578, isAffiliatedTo, 103885
105578, playsFor, 70270
105578, playsFor, 103885
67371, isAffiliatedTo, 103885
67371, playsFor, 103885
67371, wasBornIn, 45345
113379, isAffiliatedTo, 103885
113379, playsFor, 103885
113379, wasBornIn, 45345
83703, isAffiliatedTo, 70270
83703, isAffiliatedTo, 103885
83703, playsFor, 70270
83703, playsFor, 103885
86543, isAffiliatedTo, 70270
86543, isAffiliatedTo, 103885
86543, playsFor, 70270
86543, playsFor, 103885
8278, isAffiliatedTo, 70270
8278, isAffiliatedTo, 103885
8278, playsFor, 70270
8278, playsFor, 103885
66840, isAffiliatedTo, 70270
66840, isAffiliatedTo, 103885
66840, playsFor, 70270
66840, playsFor, 103885
23762, isAffiliatedTo, 70270
23762, isAffiliatedTo, 103885
23762, playsFor, 70270
23762, playsFor, 103885
44297, isAffiliatedTo, 70270
44297, isAffiliatedTo, 103885
44297, playsFor, 70270
44297, playsFor, 103885
27799, isAffiliatedTo, 70270
27799, isAffiliatedTo, 103885
27799, playsFor, 70270
27799, playsFor, 103885
101720, isAffiliatedTo, 70270
101720, isAffiliatedTo, 103885
101720, playsFor, 70270
101720, playsFor, 103885
2295, isAffiliatedTo, 70270
2295, isAffiliatedTo, 103885
2295, playsFor, 70270
2295, playsFor, 103885
28945, isAffiliatedTo, 70270
28945, playsFor, 70270
28945, wasBornIn, 45345
37209, wasBornIn, 45345
81293, isAffiliatedTo, 70270
81293, isAffiliatedTo, 103885
81293, playsFor, 70270
81293, playsFor, 103885
99495, isAffiliatedTo, 103885
99495, playsFor, 103885
99495, wasBornIn, 45345
55126, isAffiliatedTo, 70270
55126, playsFor, 70270
55126, wasBornIn, 45345
79674, isAffiliatedTo, 103885
79674, playsFor, 103885
79674, wasBornIn, 45345
Question: For what reason are Coupé_Cloué and Tony_Hiller associated?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Coupé_Cloué",
"Tony_Hiller"
],
"valid_edges": [
[
"Ade_Akinbiyi",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Ade_Akinbiyi",
"playsFor",
"Sheffield_United_F.C."
],
[
"Ade_Akinbiyi",
"wasBornIn",
"London"
],
[
"Adrian_Heath",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Adrian_Heath",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Adrian_Heath",
"playsFor",
"Everton_F.C."
],
[
"Adrian_Heath",
"playsFor",
"Sheffield_United_F.C."
],
[
"Alan_Whittle",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Alan_Whittle",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Alan_Whittle",
"playsFor",
"Everton_F.C."
],
[
"Alan_Whittle",
"playsFor",
"Sheffield_United_F.C."
],
[
"Billy_Barnes_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Billy_Barnes_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Billy_Barnes_(footballer)",
"wasBornIn",
"London"
],
[
"Bob_Benson",
"diedIn",
"London"
],
[
"Bob_Benson",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Bob_Benson",
"playsFor",
"Sheffield_United_F.C."
],
[
"Brett_Angell",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Brett_Angell",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Brett_Angell",
"playsFor",
"Everton_F.C."
],
[
"Brett_Angell",
"playsFor",
"Sheffield_United_F.C."
],
[
"Brian_Kidd",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Brian_Kidd",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Brian_Kidd",
"playsFor",
"Everton_F.C."
],
[
"Bruce_Dyer",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Bruce_Dyer",
"playsFor",
"Sheffield_United_F.C."
],
[
"Bruce_Dyer",
"wasBornIn",
"London"
],
[
"Bruce_Rioch",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Bruce_Rioch",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Bruce_Rioch",
"playsFor",
"Everton_F.C."
],
[
"Bruce_Rioch",
"playsFor",
"Sheffield_United_F.C."
],
[
"Carl_Asaba",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Carl_Asaba",
"playsFor",
"Sheffield_United_F.C."
],
[
"Carl_Asaba",
"wasBornIn",
"London"
],
[
"Carl_Tiler",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Carl_Tiler",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Carl_Tiler",
"playsFor",
"Everton_F.C."
],
[
"Carl_Tiler",
"playsFor",
"Sheffield_United_F.C."
],
[
"Charlie_Hartfield",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Charlie_Hartfield",
"playsFor",
"Sheffield_United_F.C."
],
[
"Charlie_Hartfield",
"wasBornIn",
"London"
],
[
"Colin_Kazim-Richards",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Colin_Kazim-Richards",
"playsFor",
"Sheffield_United_F.C."
],
[
"Colin_Kazim-Richards",
"wasBornIn",
"London"
],
[
"Coupé_Cloué",
"playsFor",
"Everton_F.C."
],
[
"Coupé_Cloué",
"playsFor",
"Sheffield_United_F.C."
],
[
"Craig_Short",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Craig_Short",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Craig_Short",
"playsFor",
"Everton_F.C."
],
[
"Craig_Short",
"playsFor",
"Sheffield_United_F.C."
],
[
"Danny_Cadamarteri",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Danny_Cadamarteri",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Danny_Cadamarteri",
"playsFor",
"Everton_F.C."
],
[
"Danny_Cadamarteri",
"playsFor",
"Sheffield_United_F.C."
],
[
"Darius_Henderson",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Darius_Henderson",
"playsFor",
"Sheffield_United_F.C."
],
[
"Darius_Henderson",
"wasBornIn",
"London"
],
[
"David_Carney",
"isAffiliatedTo",
"Everton_F.C."
],
[
"David_Carney",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"David_Carney",
"playsFor",
"Everton_F.C."
],
[
"David_Carney",
"playsFor",
"Sheffield_United_F.C."
],
[
"David_Irving_(footballer)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"David_Irving_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"David_Irving_(footballer)",
"playsFor",
"Everton_F.C."
],
[
"David_Irving_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"David_Unsworth",
"isAffiliatedTo",
"Everton_F.C."
],
[
"David_Unsworth",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"David_Unsworth",
"playsFor",
"Everton_F.C."
],
[
"David_Unsworth",
"playsFor",
"Sheffield_United_F.C."
],
[
"David_Weir_(Scottish_footballer)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"David_Weir_(Scottish_footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"David_Weir_(Scottish_footballer)",
"playsFor",
"Everton_F.C."
],
[
"Don_Hutchison",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Don_Hutchison",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Don_Hutchison",
"playsFor",
"Everton_F.C."
],
[
"Don_Hutchison",
"playsFor",
"Sheffield_United_F.C."
],
[
"Earl_Barrett",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Earl_Barrett",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Earl_Barrett",
"playsFor",
"Everton_F.C."
],
[
"Earl_Barrett",
"playsFor",
"Sheffield_United_F.C."
],
[
"Fred_White_(footballer_born_1916)",
"playsFor",
"Everton_F.C."
],
[
"Fred_White_(footballer_born_1916)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Gary_Ablett_(English_footballer)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Gary_Ablett_(English_footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Gary_Ablett_(English_footballer)",
"playsFor",
"Everton_F.C."
],
[
"Gary_Ablett_(English_footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Gary_Naysmith",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Gary_Naysmith",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Gary_Naysmith",
"playsFor",
"Everton_F.C."
],
[
"Gary_Naysmith",
"playsFor",
"Sheffield_United_F.C."
],
[
"Gary_Speed",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Gary_Speed",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Gary_Speed",
"playsFor",
"Everton_F.C."
],
[
"Gary_Speed",
"playsFor",
"Sheffield_United_F.C."
],
[
"Gavin_Crawford_(footballer)",
"diedIn",
"London"
],
[
"Gavin_Crawford_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Gavin_Crawford_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Glyn_Hodges",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Glyn_Hodges",
"playsFor",
"Sheffield_United_F.C."
],
[
"Glyn_Hodges",
"wasBornIn",
"London"
],
[
"Graham_Stuart_(footballer)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Graham_Stuart_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Graham_Stuart_(footballer)",
"playsFor",
"Everton_F.C."
],
[
"Graham_Stuart_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Herbert_Chapman",
"diedIn",
"London"
],
[
"Herbert_Chapman",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Herbert_Chapman",
"playsFor",
"Sheffield_United_F.C."
],
[
"Howard_Kendall",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Howard_Kendall",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Howard_Kendall",
"playsFor",
"Everton_F.C."
],
[
"Iffy_Onuora",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Iffy_Onuora",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Iffy_Onuora",
"playsFor",
"Sheffield_United_F.C."
],
[
"Imre_Varadi",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Imre_Varadi",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Imre_Varadi",
"playsFor",
"Everton_F.C."
],
[
"Imre_Varadi",
"playsFor",
"Sheffield_United_F.C."
],
[
"Imre_Varadi",
"wasBornIn",
"London"
],
[
"Jack_Kirwan",
"diedIn",
"London"
],
[
"Jack_Kirwan",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Jack_Kirwan",
"playsFor",
"Everton_F.C."
],
[
"Jamal_Campbell-Ryce",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Jamal_Campbell-Ryce",
"playsFor",
"Sheffield_United_F.C."
],
[
"Jamal_Campbell-Ryce",
"wasBornIn",
"London"
],
[
"James_Beattie_(footballer)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"James_Beattie_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"James_Beattie_(footballer)",
"playsFor",
"Everton_F.C."
],
[
"James_Beattie_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"James_Wallace_(footballer)",
"playsFor",
"Everton_F.C."
],
[
"James_Wallace_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Jermaine_Beckford",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Jermaine_Beckford",
"playsFor",
"Everton_F.C."
],
[
"Jermaine_Beckford",
"wasBornIn",
"London"
],
[
"Jim_Gannon",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Jim_Gannon",
"playsFor",
"Sheffield_United_F.C."
],
[
"Jim_Gannon",
"wasBornIn",
"London"
],
[
"Jock_Dodds",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Jock_Dodds",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Jock_Dodds",
"playsFor",
"Everton_F.C."
],
[
"Jock_Dodds",
"playsFor",
"Sheffield_United_F.C."
],
[
"Joe_Mercer",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Joe_Mercer",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Joe_Mercer",
"playsFor",
"Everton_F.C."
],
[
"John_Halls",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"John_Halls",
"playsFor",
"Sheffield_United_F.C."
],
[
"John_Halls",
"wasBornIn",
"London"
],
[
"John_Matthews_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"John_Matthews_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"John_Matthews_(footballer)",
"wasBornIn",
"London"
],
[
"John_Montagu_Douglas_Scott,_7th_Duke_of_Buccleuch",
"playsFor",
"Everton_F.C."
],
[
"John_Montagu_Douglas_Scott,_7th_Duke_of_Buccleuch",
"wasBornIn",
"London"
],
[
"Jose_Baxter",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Jose_Baxter",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Jose_Baxter",
"playsFor",
"Everton_F.C."
],
[
"Jose_Baxter",
"playsFor",
"Sheffield_United_F.C."
],
[
"Ken_McNaught",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Ken_McNaught",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Ken_McNaught",
"playsFor",
"Everton_F.C."
],
[
"Ken_McNaught",
"playsFor",
"Sheffield_United_F.C."
],
[
"Kenny_Sansom",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Kenny_Sansom",
"playsFor",
"Everton_F.C."
],
[
"Kenny_Sansom",
"wasBornIn",
"London"
],
[
"Kevin_Campbell_(footballer)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Kevin_Campbell_(footballer)",
"playsFor",
"Everton_F.C."
],
[
"Kevin_Campbell_(footballer)",
"wasBornIn",
"London"
],
[
"Kyel_Reid",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Kyel_Reid",
"playsFor",
"Sheffield_United_F.C."
],
[
"Kyel_Reid",
"wasBornIn",
"London"
],
[
"Leon_Britton",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Leon_Britton",
"playsFor",
"Sheffield_United_F.C."
],
[
"Leon_Britton",
"wasBornIn",
"London"
],
[
"Li_Tie",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Li_Tie",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Li_Tie",
"playsFor",
"Everton_F.C."
],
[
"Li_Tie",
"playsFor",
"Sheffield_United_F.C."
],
[
"Marcus_Bent",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Marcus_Bent",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Marcus_Bent",
"playsFor",
"Everton_F.C."
],
[
"Marcus_Bent",
"playsFor",
"Sheffield_United_F.C."
],
[
"Marcus_Bent",
"wasBornIn",
"London"
],
[
"Mark_Beard_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Mark_Beard_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Mark_Beard_(footballer)",
"wasBornIn",
"London"
],
[
"Mark_Bunn_(English_footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Mark_Bunn_(English_footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Mark_Bunn_(English_footballer)",
"wasBornIn",
"London"
],
[
"Marlon_King",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Marlon_King",
"playsFor",
"Sheffield_United_F.C."
],
[
"Marlon_King",
"wasBornIn",
"London"
],
[
"Martin_Peters",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Martin_Peters",
"playsFor",
"Sheffield_United_F.C."
],
[
"Martin_Peters",
"wasBornIn",
"London"
],
[
"Mikele_Leigertwood",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Mikele_Leigertwood",
"playsFor",
"Sheffield_United_F.C."
],
[
"Mikele_Leigertwood",
"wasBornIn",
"London"
],
[
"Mitch_Ward",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Mitch_Ward",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Mitch_Ward",
"playsFor",
"Everton_F.C."
],
[
"Mitch_Ward",
"playsFor",
"Sheffield_United_F.C."
],
[
"Nyron_Nosworthy",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Nyron_Nosworthy",
"playsFor",
"Sheffield_United_F.C."
],
[
"Nyron_Nosworthy",
"wasBornIn",
"London"
],
[
"Paul_Gerrard",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Paul_Gerrard",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Paul_Gerrard",
"playsFor",
"Everton_F.C."
],
[
"Paul_Gerrard",
"playsFor",
"Sheffield_United_F.C."
],
[
"Paul_McGrath_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Paul_McGrath_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Paul_McGrath_(footballer)",
"wasBornIn",
"London"
],
[
"Paul_Parker_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Paul_Parker_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Paul_Parker_(footballer)",
"wasBornIn",
"London"
],
[
"Peter_Beagrie",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Peter_Beagrie",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Peter_Beagrie",
"playsFor",
"Everton_F.C."
],
[
"Peter_Beagrie",
"playsFor",
"Sheffield_United_F.C."
],
[
"Phil_Jagielka",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Phil_Jagielka",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Phil_Jagielka",
"playsFor",
"Everton_F.C."
],
[
"Phil_Jagielka",
"playsFor",
"Sheffield_United_F.C."
],
[
"Richard_Wright_(footballer)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Richard_Wright_(footballer)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Richard_Wright_(footballer)",
"playsFor",
"Everton_F.C."
],
[
"Richard_Wright_(footballer)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Stan_Fazackerley",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Stan_Fazackerley",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Stan_Fazackerley",
"playsFor",
"Everton_F.C."
],
[
"Stan_Fazackerley",
"playsFor",
"Sheffield_United_F.C."
],
[
"Steve_Simonsen",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Steve_Simonsen",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Steve_Simonsen",
"playsFor",
"Everton_F.C."
],
[
"Steve_Simonsen",
"playsFor",
"Sheffield_United_F.C."
],
[
"Stuart_McCall",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Stuart_McCall",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Stuart_McCall",
"playsFor",
"Everton_F.C."
],
[
"Stuart_McCall",
"playsFor",
"Sheffield_United_F.C."
],
[
"Terry_Curran",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Terry_Curran",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Terry_Curran",
"playsFor",
"Everton_F.C."
],
[
"Terry_Curran",
"playsFor",
"Sheffield_United_F.C."
],
[
"Terry_Phelan",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Terry_Phelan",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Terry_Phelan",
"playsFor",
"Everton_F.C."
],
[
"Terry_Phelan",
"playsFor",
"Sheffield_United_F.C."
],
[
"Tommy_Johnson_(footballer_born_1971)",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Tommy_Johnson_(footballer_born_1971)",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Tommy_Johnson_(footballer_born_1971)",
"playsFor",
"Everton_F.C."
],
[
"Tommy_Johnson_(footballer_born_1971)",
"playsFor",
"Sheffield_United_F.C."
],
[
"Tony_Cottee",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Tony_Cottee",
"playsFor",
"Everton_F.C."
],
[
"Tony_Cottee",
"wasBornIn",
"London"
],
[
"Tony_Hiller",
"wasBornIn",
"London"
],
[
"Trevor_Ross",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Trevor_Ross",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Trevor_Ross",
"playsFor",
"Everton_F.C."
],
[
"Trevor_Ross",
"playsFor",
"Sheffield_United_F.C."
],
[
"Ugo_Ehiogu",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Ugo_Ehiogu",
"playsFor",
"Sheffield_United_F.C."
],
[
"Ugo_Ehiogu",
"wasBornIn",
"London"
],
[
"Vinny_Samways",
"isAffiliatedTo",
"Everton_F.C."
],
[
"Vinny_Samways",
"playsFor",
"Everton_F.C."
],
[
"Vinny_Samways",
"wasBornIn",
"London"
],
[
"Wally_Downes",
"isAffiliatedTo",
"Sheffield_United_F.C."
],
[
"Wally_Downes",
"playsFor",
"Sheffield_United_F.C."
],
[
"Wally_Downes",
"wasBornIn",
"London"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
114215, Gmina_Milicz
75249, HK_Liepājas_Metalurgs
37869, Latvia
121434, Lower_Silesian_Voivodeship
61342, Milicz
59225, Poland
src, edge_attr, dst
114215, isLocatedIn, 121434
75249, isLocatedIn, 37869
37869, dealsWith, 59225
61342, isLocatedIn, 114215
61342, isLocatedIn, 121434
61342, isLocatedIn, 59225
Question: In what context are Gmina_Milicz and HK_Liepājas_Metalurgs connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Gmina_Milicz",
"HK_Liepājas_Metalurgs"
],
"valid_edges": [
[
"Gmina_Milicz",
"isLocatedIn",
"Lower_Silesian_Voivodeship"
],
[
"HK_Liepājas_Metalurgs",
"isLocatedIn",
"Latvia"
],
[
"Latvia",
"dealsWith",
"Poland"
],
[
"Milicz",
"isLocatedIn",
"Gmina_Milicz"
],
[
"Milicz",
"isLocatedIn",
"Lower_Silesian_Voivodeship"
],
[
"Milicz",
"isLocatedIn",
"Poland"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
121144, Evil_Roy_Slade
89823, India
66893, Maya_Machhindra
68001, Papanasam_Sivan
29157, United_States
src, edge_attr, dst
121144, isLocatedIn, 29157
89823, dealsWith, 29157
66893, isLocatedIn, 89823
68001, wroteMusicFor, 66893
Question: In what context are Evil_Roy_Slade and Papanasam_Sivan connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Evil_Roy_Slade",
"Papanasam_Sivan"
],
"valid_edges": [
[
"Evil_Roy_Slade",
"isLocatedIn",
"United_States"
],
[
"India",
"dealsWith",
"United_States"
],
[
"Maya_Machhindra",
"isLocatedIn",
"India"
],
[
"Papanasam_Sivan",
"wroteMusicFor",
"Maya_Machhindra"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
17096, Carl_Airey
6641, Fleetwood_Town_F.C.
9610, Jerome_Watt
88415, Mark_Roberts_(footballer,_born_1983)
80796, Salisbury_City_F.C.
src, edge_attr, dst
17096, isAffiliatedTo, 80796
17096, playsFor, 80796
9610, isAffiliatedTo, 6641
9610, isAffiliatedTo, 80796
9610, playsFor, 6641
9610, playsFor, 80796
88415, isAffiliatedTo, 6641
88415, playsFor, 6641
Question: In what context are Carl_Airey and Mark_Roberts_(footballer,_born_1983) connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Carl_Airey",
"Mark_Roberts_(footballer,_born_1983)"
],
"valid_edges": [
[
"Carl_Airey",
"isAffiliatedTo",
"Salisbury_City_F.C."
],
[
"Carl_Airey",
"playsFor",
"Salisbury_City_F.C."
],
[
"Jerome_Watt",
"isAffiliatedTo",
"Fleetwood_Town_F.C."
],
[
"Jerome_Watt",
"isAffiliatedTo",
"Salisbury_City_F.C."
],
[
"Jerome_Watt",
"playsFor",
"Fleetwood_Town_F.C."
],
[
"Jerome_Watt",
"playsFor",
"Salisbury_City_F.C."
],
[
"Mark_Roberts_(footballer,_born_1983)",
"isAffiliatedTo",
"Fleetwood_Town_F.C."
],
[
"Mark_Roberts_(footballer,_born_1983)",
"playsFor",
"Fleetwood_Town_F.C."
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
110310, 2waytraffic
106199, Budapest
45529, Essex_Boys
111744, Europe
48909, Hungary
41975, Márton_Fülöp
47995, Norbert_Zsivóczky
67382, Paul_Erdős
108008, Peter_Medak
66690, Staffordshire
13819, Stoke-on-Trent
34389, Stoke_City_F.C.
100654, United_Kingdom
src, edge_attr, dst
110310, isLocatedIn, 106199
110310, isLocatedIn, 100654
106199, isLocatedIn, 111744
106199, isLocatedIn, 48909
45529, isLocatedIn, 100654
48909, dealsWith, 100654
41975, isAffiliatedTo, 34389
41975, playsFor, 34389
41975, wasBornIn, 106199
47995, isAffiliatedTo, 34389
47995, playsFor, 34389
47995, wasBornIn, 106199
67382, livesIn, 100654
67382, wasBornIn, 106199
108008, livesIn, 100654
108008, wasBornIn, 106199
66690, isLocatedIn, 100654
13819, isLocatedIn, 100654
34389, isLocatedIn, 66690
34389, isLocatedIn, 13819
100654, isLocatedIn, 111744
Question: How are Essex_Boys and Norbert_Zsivóczky related?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Essex_Boys",
"Norbert_Zsivóczky"
],
"valid_edges": [
[
"2waytraffic",
"isLocatedIn",
"Budapest"
],
[
"2waytraffic",
"isLocatedIn",
"United_Kingdom"
],
[
"Budapest",
"isLocatedIn",
"Europe"
],
[
"Budapest",
"isLocatedIn",
"Hungary"
],
[
"Essex_Boys",
"isLocatedIn",
"United_Kingdom"
],
[
"Hungary",
"dealsWith",
"United_Kingdom"
],
[
"Márton_Fülöp",
"isAffiliatedTo",
"Stoke_City_F.C."
],
[
"Márton_Fülöp",
"playsFor",
"Stoke_City_F.C."
],
[
"Márton_Fülöp",
"wasBornIn",
"Budapest"
],
[
"Norbert_Zsivóczky",
"isAffiliatedTo",
"Stoke_City_F.C."
],
[
"Norbert_Zsivóczky",
"playsFor",
"Stoke_City_F.C."
],
[
"Norbert_Zsivóczky",
"wasBornIn",
"Budapest"
],
[
"Paul_Erdős",
"livesIn",
"United_Kingdom"
],
[
"Paul_Erdős",
"wasBornIn",
"Budapest"
],
[
"Peter_Medak",
"livesIn",
"United_Kingdom"
],
[
"Peter_Medak",
"wasBornIn",
"Budapest"
],
[
"Staffordshire",
"isLocatedIn",
"United_Kingdom"
],
[
"Stoke-on-Trent",
"isLocatedIn",
"United_Kingdom"
],
[
"Stoke_City_F.C.",
"isLocatedIn",
"Staffordshire"
],
[
"Stoke_City_F.C.",
"isLocatedIn",
"Stoke-on-Trent"
],
[
"United_Kingdom",
"isLocatedIn",
"Europe"
]
],
"ground_truth": [],
"gt_cost": null
} |
YAGO |
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
22247, Artūras_Fomenka
105803, Chamillionaire
118104, male
src, edge_attr, dst
22247, hasGender, 118104
105803, hasGender, 118104
Question: In what context are Artūras_Fomenka and Chamillionaire connected?
Your output must be ONLY the PATH block.
| graph_path | {
"style": "rule"
} | {
"entities": [
"Artūras_Fomenka",
"Chamillionaire"
],
"valid_edges": [
[
"Artūras_Fomenka",
"hasGender",
"male"
],
[
"Chamillionaire",
"hasGender",
"male"
]
],
"ground_truth": [],
"gt_cost": null
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.