triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 8 16 | keep_triple bool 1
class | query_prompt stringlengths 3.23k 3.32k | query stringlengths 87 191 | entity_a stringlengths 4 53 | entity_b stringlengths 4 51 | rel_b stringlengths 5 36 | index int64 50 199 | prompt stringlengths 3.63k 3.78k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | usage listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q201506",
"P166",
"Q38104"
] | [
"Q109588",
"P166",
"Q38104"
] | [
"Q109588",
"P101",
"Q2178236"
] | [
"Clifford Shull",
"award received",
"Nobel Prize in Physics"
] | [
"Serge Haroche",
"award received",
"Nobel Prize in Physics"
] | [
"Serge Haroche",
"field of work",
"Rydberg atom"
] | Q38104__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Clifford Shull, the American physicist, and someone who has worked in the field of Rydberg atoms? | Clifford Shull | Rydberg atom | field of work | 50 | Query: What are different ways of connecting Clifford Shull, the American physicist, and someone who has worked in the field of Rydberg atoms?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationsh... | [
"<answer>\n{\n \"1\": [\n [\"Clifford Shull\", \"award received\", \"Nobel Prize in Physics\"],\n [\"Nobel Prize in Physics\", \"awarded to\", \"Serge Haroche\"],\n [\"Serge Haroche\", \"field of work\", \"Rydberg atom\"]\n ],\n \"2\": [\n [\"Clifford Shull\", \"award received\", \"Nobel Prize in Phy... | [
"Query: What are different ways of connecting Clifford Shull, the American physicist, and someone who has worked in the field of Rydberg atoms?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, rel... | [
{
"completion_tokens": 14532,
"prompt_tokens": 779,
"total_tokens": 15311
}
] |
[
"Q205326",
"P54",
"Q131364"
] | [
"Q5300636",
"P54",
"Q131364"
] | [
"Q5300636",
"P647",
"Q169661"
] | [
"Derrick Rose",
"member of sports team",
"New York Knicks"
] | [
"Doug Kistler",
"member of sports team",
"New York Knicks"
] | [
"Doug Kistler",
"drafted by",
"Detroit Pistons"
] | Q131364__P54 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Derrick Rose, the professional basketball player, and someone who was drafted by the Detroit Pistons? | Derrick Rose | Detroit Pistons | drafted by | 51 | Query: What are different ways of connecting Derrick Rose, the professional basketball player, and someone who was drafted by the Detroit Pistons?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relati... | [
"<answer>\n{\n \"1\": [\n [\"Derrick Rose\", \"teammate\", \"Andre Drummond\"],\n [\"Andre Drummond\", \"drafted by\", \"Detroit Pistons\"]\n ],\n \"2\": [\n [\"Derrick Rose\", \"teammate\", \"Luke Kennard\"],\n [\"Luke Kennard\", \"drafted by\", \"Detroit Pistons\"]\n ],\n \"3\": [\n [\"Der... | [
"Query: What are different ways of connecting Derrick Rose, the professional basketball player, and someone who was drafted by the Detroit Pistons?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head,... | [
{
"completion_tokens": 9383,
"prompt_tokens": 772,
"total_tokens": 10155
}
] |
[
"Q27132753",
"P2175",
"Q6853"
] | [
"Q22075912",
"P2175",
"Q6853"
] | [
"Q22075912",
"P3780",
"Q47522279"
] | [
"tenofovir disoproxil",
"medical condition treated",
"hepatitis B"
] | [
"tenofovir alafenamide",
"medical condition treated",
"hepatitis B"
] | [
"tenofovir alafenamide",
"active ingredient in",
"Vemlidy"
] | Q6853__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting tenofovir disoproxil, a medication used in the treatment of HIV, and a substance that is the active ingredient in Vemlidy? | tenofovir disoproxil | Vemlidy | active ingredient in | 52 | Query: What are different ways of connecting tenofovir disoproxil, a medication used in the treatment of HIV, and a substance that is the active ingredient in Vemlidy?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual ... | [
"<answer>\n{\n \"1\": [\n [\"tenofovir disoproxil\", \"prodrug of\", \"tenofovir\"],\n [\"tenofovir\", \"has prodrug\", \"tenofovir alafenamide\"],\n [\"tenofovir alafenamide\", \"active ingredient in\", \"Vemlidy\"]\n ],\n \"2\": [\n [\"tenofovir disoproxil\", \"drug class\", \"nucleotide reverse ... | [
"Query: What are different ways of connecting tenofovir disoproxil, a medication used in the treatment of HIV, and a substance that is the active ingredient in Vemlidy?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of f... | [
{
"completion_tokens": 7376,
"prompt_tokens": 791,
"total_tokens": 8167
}
] |
[
"Q22686",
"P39",
"Q11696"
] | [
"Q23",
"P39",
"Q11696"
] | [
"Q23",
"P1038",
"Q21004273"
] | [
"Donald Trump",
"position held",
"President of the United States"
] | [
"George Washington",
"position held",
"President of the United States"
] | [
"George Washington",
"relative",
"Martha Parke Custis"
] | Q11696__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Donald Trump, the former President of the United States, and someone who is a relative of George Washington? | Donald Trump | Martha Parke Custis | relative | 53 | Query: What are different ways of connecting Donald Trump, the former President of the United States, and someone who is a relative of George Washington?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head,... | [
"<answer>\n{\n \"1\": [\n [\"Donald Trump\", \"held office\", \"President of the United States\"],\n [\"President of the United States\", \"first holder\", \"George Washington\"],\n [\"George Washington\", \"relative\", \"Martha Parke Custis\"]\n ],\n \"2\": [\n [\"Donald Trump\", \"resided at\", \"W... | [
"Query: What are different ways of connecting Donald Trump, the former President of the United States, and someone who is a relative of George Washington?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples... | [
{
"completion_tokens": 7807,
"prompt_tokens": 771,
"total_tokens": 8578
}
] |
[
"Q413879",
"P2175",
"Q1477"
] | [
"Q420305",
"P2175",
"Q1477"
] | [
"Q420305",
"P2868",
"Q1809112"
] | [
"golimumab",
"medical condition treated",
"ulcerative colitis"
] | [
"ustekinumab",
"medical condition treated",
"ulcerative colitis"
] | [
"ustekinumab",
"subject has role",
"dermatologic drug"
] | Q1477__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting golimumab, a medication used for treating autoimmune conditions, and a substance that plays a role as a dermatologic drug? | golimumab | dermatologic drug | subject has role | 54 | Query: What are different ways of connecting golimumab, a medication used for treating autoimmune conditions, and a substance that plays a role as a dermatologic drug?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual ... | [
"<answer>\n{\n \"1\": [\n [\"golimumab\", \"inhibits\", \"tumor necrosis factor\"],\n [\"tumor necrosis factor\", \"target of\", \"adalimumab\"],\n [\"adalimumab\", \"subject has role\", \"dermatologic drug\"]\n ],\n \"2\": [\n [\"golimumab\", \"developed by\", \"Janssen Biotech\"],\n [\"Janssen B... | [
"Query: What are different ways of connecting golimumab, a medication used for treating autoimmune conditions, and a substance that plays a role as a dermatologic drug?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of f... | [
{
"completion_tokens": 9890,
"prompt_tokens": 777,
"total_tokens": 10667
}
] |
[
"Q1028330",
"P57",
"Q6503795"
] | [
"Q1028330",
"P57",
"Q7439380"
] | [
"Q7439380",
"P27",
"Q1054923"
] | [
"City Without Baseball",
"director",
"Lawrence Ah Mon"
] | [
"City Without Baseball",
"director",
"Scud"
] | [
"Scud",
"country of citizenship",
"British Hong Kong"
] | Q1028330__P57 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting "City Without Baseball," a notable work, and someone who is associated with British Hong Kong as their country of citizenship? | City Without Baseball | British Hong Kong | country of citizenship | 55 | Query: What are different ways of connecting "City Without Baseball," a notable work, and someone who is associated with British Hong Kong as their country of citizenship?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of fact... | [
"<answer>{\n \"1\": [\n [\"City Without Baseball\", \"country of origin\", \"Hong Kong\"],\n [\"Hong Kong\", \"head of government\", \"Donald Tsang\"],\n [\"Donald Tsang\", \"country of citizenship\", \"British Hong Kong\"]\n ],\n \"2\": [\n [\"City Without Baseball\", \"country of origin\", \"Hong... | [
"Query: What are different ways of connecting \"City Without Baseball,\" a notable work, and someone who is associated with British Hong Kong as their country of citizenship?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequenc... | [
{
"completion_tokens": 11213,
"prompt_tokens": 775,
"total_tokens": 11988
}
] |
[
"Q3051334",
"P166",
"Q935843"
] | [
"Q15869",
"P166",
"Q935843"
] | [
"Q15869",
"P136",
"Q49451"
] | [
"Ella Jenkins",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Freddie Mercury",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Freddie Mercury",
"genre",
"progressive rock"
] | Q935843__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Ella Jenkins, a notable figure in children's music, and someone who is associated with the progressive rock genre? | Ella Jenkins | progressive rock | genre | 56 | Query: What are different ways of connecting Ella Jenkins, a notable figure in children's music, and someone who is associated with the progressive rock genre?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples ... | [
"<answer>{\n \"1\": [\n [\"Ella Jenkins\", \"resides in\", \"Chicago\"],\n [\"Chicago\", \"origin of\", \"Styx\"],\n [\"Styx\", \"genre\", \"progressive rock\"]\n ],\n \"2\": [\n [\"Ella Jenkins\", \"born in\", \"St. Louis\"],\n [\"St. Louis\", \"origin of\", \"Pavlov's Dog\"],\n [\"Pavlov's Do... | [
"Query: What are different ways of connecting Ella Jenkins, a notable figure in children's music, and someone who is associated with the progressive rock genre?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual t... | [
{
"completion_tokens": 10838,
"prompt_tokens": 768,
"total_tokens": 11606
}
] |
[
"Q1990978",
"P463",
"Q11649"
] | [
"Q428798",
"P463",
"Q11649"
] | [
"Q428798",
"P172",
"Q167420"
] | [
"Aaron Burckhard",
"member of",
"Nirvana"
] | [
"Krist Novoselic",
"member of",
"Nirvana"
] | [
"Krist Novoselic",
"ethnic group",
"Croats"
] | Q11649__P463 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Aaron Burckhard, a musician, and someone who is associated with the Croats, an ethnic group? | Aaron Burckhard | Croats | ethnic group | 57 | Query: What are different ways of connecting Aaron Burckhard, a musician, and someone who is associated with the Croats, an ethnic group?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, t... | [
"<answer>\n{\n \"1\": [\n [\"Aaron Burckhard\", \"member of\", \"Nirvana (band)\"],\n [\"Nirvana (band)\", \"has member\", \"Krist Novoselic\"],\n [\"Krist Novoselic\", \"ethnic group\", \"Croats\"]\n ],\n \"2\": [\n [\"Aaron Burckhard\", \"performed with\", \"Kurt Cobain\"],\n [\"Kurt Cobain\", \... | [
"Query: What are different ways of connecting Aaron Burckhard, a musician, and someone who is associated with the Croats, an ethnic group?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relation... | [
{
"completion_tokens": 9265,
"prompt_tokens": 774,
"total_tokens": 10039
}
] |
[
"Q47300912",
"P161",
"Q508795"
] | [
"Q47300912",
"P161",
"Q234566"
] | [
"Q234566",
"P69",
"Q6047120"
] | [
"Once Upon a Time in Hollywood",
"cast member",
"Martin Kove"
] | [
"Once Upon a Time in Hollywood",
"cast member",
"Rumer Willis"
] | [
"Rumer Willis",
"educated at",
"Interlochen Center for the Arts"
] | Q47300912__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Martin Kove, the American actor, and someone who was educated at the Interlochen Center for the Arts? | Martin Kove | Interlochen Center for the Arts | educated at | 58 | Query: What are different ways of connecting Martin Kove, the American actor, and someone who was educated at the Interlochen Center for the Arts?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relati... | [
"<answer>\n{\n \"1\": [\n [\"Martin Kove\", \"cast member of\", \"Hard Time on Planet Earth\"],\n [\"Hard Time on Planet Earth\", \"original network\", \"CBS\"],\n [\"NCIS: Los Angeles\", \"original network\", \"CBS\"],\n [\"NCIS: Los Angeles\", \"cast member\", \"Linda Hunt\"],\n [\"Linda Hunt\", \... | [
"Query: What are different ways of connecting Martin Kove, the American actor, and someone who was educated at the Interlochen Center for the Arts?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head,... | [
{
"completion_tokens": 18830,
"prompt_tokens": 777,
"total_tokens": 19607
}
] |
[
"Q894611",
"P2175",
"Q29496"
] | [
"Q412327",
"P2175",
"Q29496"
] | [
"Q412327",
"P2868",
"Q427492"
] | [
"bosutinib",
"medical condition treated",
"leukemia"
] | [
"nilotinib",
"medical condition treated",
"leukemia"
] | [
"nilotinib",
"subject has role",
"enzyme inhibitor"
] | Q29496__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting bosutinib, a chemical compound, and a substance that acts as an enzyme inhibitor with a specific role? | bosutinib | enzyme inhibitor | subject has role | 59 | Query: What are different ways of connecting bosutinib, a chemical compound, and a substance that acts as an enzyme inhibitor with a specific role?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relat... | [
"<answer>\n{\n \"1\": [\n [\"bosutinib\", \"subject has role\", \"enzyme inhibitor\"]\n ],\n \"2\": [\n [\"bosutinib\", \"has synonym\", \"SKI-606\"],\n [\"SKI-606\", \"subject has role\", \"enzyme inhibitor\"]\n ],\n \"3\": [\n [\"bosutinib\", \"trade name\", \"Bosulif\"],\n [\"Bosulif\", \"sub... | [
"Query: What are different ways of connecting bosutinib, a chemical compound, and a substance that acts as an enzyme inhibitor with a specific role?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head... | [
{
"completion_tokens": 9209,
"prompt_tokens": 772,
"total_tokens": 9981
}
] |
[
"Q19958463",
"P57",
"Q100145643"
] | [
"Q19955595",
"P57",
"Q100145643"
] | [
"Q100145643",
"P106",
"Q1235146"
] | [
"Olivier Higgins",
"director",
"Wandering, A Rohingya Story"
] | [
"Mélanie Carrier",
"director",
"Wandering, A Rohingya Story"
] | [
"Wandering, A Rohingya Story",
"occupation",
"documentary filmmaker"
] | Q100145643__P57 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Olivier Higgins, a notable figure, and someone who works as a documentary filmmaker for "Wandering, A Rohingya Story"? | Olivier Higgins | documentary filmmaker | occupation | 60 | Query: What are different ways of connecting Olivier Higgins, a notable figure, and someone who works as a documentary filmmaker for "Wandering, A Rohingya Story"?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual trip... | [
"<answer>{\n \"1\": [\n [\"Olivier Higgins\", \"occupation\", \"documentary filmmaker\"]\n ],\n \"2\": [\n [\"Olivier Higgins\", \"directed\", \"Wandering: A Rohingya Story\"],\n [\"Wandering: A Rohingya Story\", \"directed by\", \"Olivier Higgins\"],\n [\"Olivier Higgins\", \"occupation\", \"documen... | [
"Query: What are different ways of connecting Olivier Higgins, a notable figure, and someone who works as a documentary filmmaker for \"Wandering, A Rohingya Story\"?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of fac... | [
{
"completion_tokens": 9298,
"prompt_tokens": 777,
"total_tokens": 10075
}
] |
[
"Q18035155",
"P2293",
"Q131755"
] | [
"Q18033185",
"P2293",
"Q131755"
] | [
"Q18033185",
"P684",
"Q18252750"
] | [
"KCNMB2",
"genetic association",
"bipolar disorder"
] | [
"NUMB",
"genetic association",
"bipolar disorder"
] | [
"NUMB",
"ortholog",
"Numb"
] | Q131755__P2293 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting KCNMB2, a gene, and a substance that is an ortholog of NUMB? | KCNMB2 | Numb | ortholog | 61 | Query: What are different ways of connecting KCNMB2, a gene, and a substance that is an ortholog of NUMB?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain ... | [
"<answer>\n{\n \"1\": [\n [\"KCNMB2\", \"ortholog\", \"Kcnmb2 (mouse)\"],\n [\"Kcnmb2 (mouse)\", \"in taxon\", \"Mus musculus\"],\n [\"Mus musculus\", \"has gene\", \"Numb (mouse)\"],\n [\"Numb (mouse)\", \"ortholog\", \"Numb\"]\n ],\n \"2\": [\n [\"KCNMB2\", \"ortholog\", \"Kcnmb2 (rat)\"],\n ... | [
"Query: What are different ways of connecting KCNMB2, a gene, and a substance that is an ortholog of NUMB?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous... | [
{
"completion_tokens": 11745,
"prompt_tokens": 771,
"total_tokens": 12516
}
] |
[
"Q62003273",
"P162",
"Q105044259"
] | [
"Q7807248",
"P162",
"Q105044259"
] | [
"Q105044259",
"P69",
"Q640652"
] | [
"Daniela Taplin Lundberg",
"producer",
"Together Together"
] | [
"Timothy Headington",
"producer",
"Together Together"
] | [
"Together Together",
"educated at",
"University of Oklahoma"
] | Q105044259__P162 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting "Together Together," the film, and someone who was educated at the University of Oklahoma? | Together Together | University of Oklahoma | educated at | 62 | Query: What are different ways of connecting "Together Together," the film, and someone who was educated at the University of Oklahoma?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relationship, tai... | [
"<answer>\n{\n \"1\": [\n [\"Together Together\", \"stars\", \"Ed Helms\"],\n [\"Ed Helms\", \"cast in\", \"Office Christmas Party\"],\n [\"Office Christmas Party\", \"stars\", \"Olivia Munn\"],\n [\"Olivia Munn\", \"educated at\", \"University of Oklahoma\"]\n ],\n \"2\": [\n [\"Together Togeth... | [
"Query: What are different ways of connecting \"Together Together,\" the film, and someone who was educated at the University of Oklahoma?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of factual triples (head, relation... | [
{
"completion_tokens": 18268,
"prompt_tokens": 766,
"total_tokens": 19034
}
] |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gpt-5-2025-08-07 - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
600 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
n_paths
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
True - No Curator:
False - Index Filter:
None (all samples) - Start Index:
50 - End Index:
200
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
150 - Output Filename:
connection_queries_jan12__natural__s50__e200__n_paths__1__reasoning__medium__0.7__16384__gpt-5-2025-08-07.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("connections-dev/rebuttal_s50_e200_n_paths_1_reasoning_medium_0.7_16384_gpt-5-2025-08-07_n10")
Generation Details
This dataset was generated on 2026-03-28 18:33:45 using the inference pipeline with the above configuration.
- Downloads last month
- 25