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 9 16 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.32k | query stringlengths 99 187 | entity_a stringlengths 4 23 | entity_b stringlengths 7 58 | rel_b stringlengths 5 28 | index int64 20 49 | prompt stringlengths 3.64k 3.79k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | usage listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q484048",
"P58",
"Q217324"
] | [
"Q484048",
"P58",
"Q1915951"
] | [
"Q1915951",
"P1411",
"Q1377745"
] | [
"Amélie",
"screenwriter",
"Jean-Pierre Jeunet"
] | [
"Amélie",
"screenwriter",
"Guillaume Laurant"
] | [
"Guillaume Laurant",
"nominated for",
"European Film Award for Best Animated Feature Film"
] | Q484048__P58 | 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 Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film? | Jean-Pierre Jeunet | European Film Award for Best Animated Feature Film | nominated for | 20 | Query: What are different ways of connecting Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequenc... | [
"<answer>{\n \"1\": [\n [\"Jean-Pierre Jeunet\", \"co-wrote with\", \"Guillaume Laurant\"],\n [\"Guillaume Laurant\", \"wrote\", \"I Lost My Body\"],\n [\"I Lost My Body\", \"directed by\", \"Jérémy Clapin\"],\n [\"Jérémy Clapin\", \"nominated for\", \"European Film Award for Best Animated Feature Film... | [
"Query: What are different ways of connecting Jean-Pierre Jeunet, the French film director, and someone who was nominated for the European Film Award for Best Animated Feature Film?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a ... | [
{
"completion_tokens": 33544,
"prompt_tokens": 787,
"total_tokens": 34331
}
] |
[
"Q46551",
"P58",
"Q25191"
] | [
"Q46551",
"P58",
"Q372788"
] | [
"Q372788",
"P26",
"Q27663202"
] | [
"The Prestige",
"screenwriter",
"Christopher Nolan"
] | [
"The Prestige",
"screenwriter",
"Jonathan Nolan"
] | [
"Jonathan Nolan",
"spouse",
"Lisa Joy"
] | Q46551__P58 | 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 Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy? | Christopher Nolan | Lisa Joy | spouse | 21 | Query: What are different ways of connecting Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy?
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 cont... | [
"<answer>{\n \"1\": [\n [\"Christopher Nolan\", \"sibling\", \"Jonathan Nolan\"],\n [\"Jonathan Nolan\", \"spouse\", \"Lisa Joy\"]\n ],\n \"2\": [\n [\"Christopher Nolan\", \"directed\", \"Memento (film)\"],\n [\"Memento (film)\", \"based on\", \"Memento Mori (short story)\"],\n [\"Memento Mori (s... | [
"Query: What are different ways of connecting Christopher Nolan, the filmmaker, and someone who is married to Lisa Joy?\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... | [
{
"completion_tokens": 5463,
"prompt_tokens": 762,
"total_tokens": 6225
}
] |
[
"Q381845",
"P39",
"Q62070236"
] | [
"Q16196017",
"P39",
"Q62070236"
] | [
"Q16196017",
"P69",
"Q1126189"
] | [
"Lee Jong-wook",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"position held",
"Director-General of the World Health Organization"
] | [
"Tedros Adhanom Ghebreyesus",
"educated at",
"London School of Hygiene & Tropical Medicine"
] | Q62070236__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 Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine? | Lee Jong-wook | London School of Hygiene & Tropical Medicine | educated at | 22 | Query: What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence ... | [
"<answer>\n{\n \"1\": [\n \"(Lee Jong-wook, position held, Director-General of the World Health Organization)\",\n \"(Director-General of the World Health Organization, office holder, Tedros Adhanom Ghebreyesus)\",\n \"(Tedros Adhanom Ghebreyesus, educated at, London School of Hygiene & Tropical Medicine)... | [
"Query: What are different ways of connecting Lee Jong-wook, a prominent figure in global health, and someone who was educated at the London School of Hygiene & Tropical Medicine?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a se... | [
{
"completion_tokens": 17051,
"prompt_tokens": 783,
"total_tokens": 17834
}
] |
[
"Q32488",
"P161",
"Q264306"
] | [
"Q32488",
"P161",
"Q434825"
] | [
"Q434825",
"P19",
"Q12439"
] | [
"2 Broke Girls",
"cast member",
"Beth Behrs"
] | [
"2 Broke Girls",
"cast member",
"Mary Scheer"
] | [
"Mary Scheer",
"place of birth",
"Detroit"
] | Q32488__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 Beth Behrs, the actress, and someone who was born in Detroit? | Beth Behrs | Detroit | place of birth | 23 | Query: What are different ways of connecting Beth Behrs, the actress, and someone who was born in Detroit?
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 \"1\": [\n [\"Beth Behrs\", \"educated at\", \"UCLA School of Theater, Film and Television\"],\n [\"UCLA School of Theater, Film and Television\", \"alumni includes\", \"Francis Ford Coppola\"],\n [\"Francis Ford Coppola\", \"place of birth\", \"Detroit\"]\n ],\n \"2\": [\n [\"Beth Behrs... | [
"Query: What are different ways of connecting Beth Behrs, the actress, and someone who was born in Detroit?\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 continuou... | [
{
"completion_tokens": 17950,
"prompt_tokens": 764,
"total_tokens": 18714
}
] |
[
"Q17035754",
"P54",
"Q219602"
] | [
"Q3128846",
"P54",
"Q219602"
] | [
"Q3128846",
"P69",
"Q613736"
] | [
"Trey Gilleo",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"member of sports team",
"New York Jets"
] | [
"Hayden Smith",
"educated at",
"Metropolitan State University of Denver"
] | Q219602__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 Trey Gilleo and someone who was educated at Metropolitan State University of Denver? | Trey Gilleo | Metropolitan State University of Denver | educated at | 24 | Query: What are different ways of connecting Trey Gilleo and someone who was educated at Metropolitan State University of Denver?
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) for... | [
"<answer>\n{\n \"1\": [\n [\"Trey Gilleo\", \"shares surname with\", \"Margaret Gilleo\"],\n [\"Margaret Gilleo\", \"plaintiff in\", \"City of Ladue v. Gilleo\"],\n [\"City of Ladue v. Gilleo\", \"decided by\", \"Supreme Court of the United States\"],\n [\"Supreme Court of the United States\", \"part o... | [
"Query: What are different ways of connecting Trey Gilleo and someone who was educated at Metropolitan State University of Denver?\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, ta... | [
{
"completion_tokens": 18273,
"prompt_tokens": 773,
"total_tokens": 19046
}
] |
[
"Q425137",
"P2175",
"Q8277"
] | [
"Q73972",
"P2175",
"Q8277"
] | [
"Q73972",
"P2868",
"Q35456"
] | [
"fingolimod",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"medical condition treated",
"multiple sclerosis"
] | [
"hydroxocobalamin",
"subject has role",
"essential medicine"
] | Q8277__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 fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role? | fingolimod | essential medicine | subject has role | 25 | Query: What are different ways of connecting fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role?
Task: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a se... | [
"<answer>\n{\n \"1\": [\n [\"fingolimod\", \"adverse effect\", \"bradycardia\"],\n [\"bradycardia\", \"treated with\", \"atropine\"],\n [\"atropine\", \"subject has role\", \"essential medicine\"]\n ],\n \"2\": [\n [\"fingolimod\", \"increases risk\", \"herpes zoster\"],\n [\"herpes zoster\", \"tr... | [
"Query: What are different ways of connecting fingolimod, a medication used to treat multiple sclerosis, and a substance that is considered an essential medicine and has a specific role?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path ... | [
{
"completion_tokens": 8507,
"prompt_tokens": 779,
"total_tokens": 9286
}
] |
[
"Q155794",
"P166",
"Q38104"
] | [
"Q156286",
"P166",
"Q38104"
] | [
"Q156286",
"P463",
"Q40358"
] | [
"Hans Bethe",
"award received",
"Nobel Prize in Physics"
] | [
"Russell Alan Hulse",
"award received",
"Nobel Prize in Physics"
] | [
"Russell Alan Hulse",
"member of",
"American Association for the Advancement of Science"
] | 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 Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science? | Hans Bethe | American Association for the Advancement of Science | member of | 26 | Query: What are different ways of connecting Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science?
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>{\"1\": [[\"Hans Bethe\", \"member of\", \"National Academy of Sciences\"], [\"National Academy of Sciences\", \"has member\", \"John P. Holdren\"], [\"John P. Holdren\", \"member of\", \"American Association for the Advancement of Science\"]], \"2\": [[\"Hans Bethe\", \"member of\", \"American Philosophic... | [
"Query: What are different ways of connecting Hans Bethe, the renowned physicist, and someone who is a member of the American Association for the Advancement of Science?\n\nTask: Identify how two real-world entities are connected by producing exactly 10 distinct connection paths. A connection path is a sequence of ... | [
{
"completion_tokens": 17068,
"prompt_tokens": 779,
"total_tokens": 17847
}
] |
[
"Q312648",
"P54",
"Q157376"
] | [
"Q63119820",
"P54",
"Q157376"
] | [
"Q63119820",
"P69",
"Q49118"
] | [
"Jason Terry",
"member of sports team",
"Golden State Warriors"
] | [
"Ky Bowman",
"member of sports team",
"Golden State Warriors"
] | [
"Ky Bowman",
"educated at",
"Boston College"
] | Q157376__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 Jason Terry, the former professional basketball player, and someone who was educated at Boston College? | Jason Terry | Boston College | educated at | 27 | Query: What are different ways of connecting Jason Terry, the former professional basketball player, and someone who was educated at Boston College?
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, rela... | [
"<answer>\n{\n \"1\": [\n [\"Jason Terry\", \"played for\", \"Boston Celtics\"],\n [\"Boston Celtics\", \"employs\", \"Dana Barros\"],\n [\"Dana Barros\", \"educated at\", \"Boston College\"]\n ],\n \"2\": [\n [\"Jason Terry\", \"played for\", \"Boston Celtics\"],\n [\"Boston Celtics\", \"employs\... | [
"Query: What are different ways of connecting Jason Terry, the former professional basketball player, and someone who was educated at Boston College?\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 (hea... | [
{
"completion_tokens": 9964,
"prompt_tokens": 765,
"total_tokens": 10729
}
] |
[
"Q101005247",
"P162",
"Q82090205"
] | [
"Q101005247",
"P162",
"Q87141"
] | [
"Q87141",
"P3373",
"Q28064800"
] | [
"Fox in a Hole",
"producer",
"Karin C. Berger"
] | [
"Fox in a Hole",
"producer",
"Arash T. Riahi"
] | [
"Arash T. Riahi",
"sibling",
"Arman T. Riahi"
] | Q101005247__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 Karin C. Berger and someone who is the sibling of Arash T. Riahi? | Karin C. Berger | Arman T. Riahi | sibling | 28 | Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?
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 c... | [
"<answer>\n{\n \"1\": [\n [\"Karin C. Berger\", \"edited\", \"Exile Family Movie\"],\n [\"Exile Family Movie\", \"directed by\", \"Arash T. Riahi\"],\n [\"Arash T. Riahi\", \"sibling\", \"Arman T. Riahi\"]\n ],\n \"2\": [\n [\"Karin C. Berger\", \"edited\", \"Exile Family Movie\"],\n [\"Exile Fami... | [
"Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?\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 conti... | [
{
"completion_tokens": 14923,
"prompt_tokens": 777,
"total_tokens": 15700
}
] |
[
"Q32450",
"P161",
"Q5343929"
] | [
"Q32450",
"P161",
"Q267243"
] | [
"Q267243",
"P69",
"Q389336"
] | [
"Pretty Little Liars",
"cast member",
"Edward Kerr"
] | [
"Pretty Little Liars",
"cast member",
"Melanie Mayron"
] | [
"Melanie Mayron",
"educated at",
"American Academy of Dramatic Arts"
] | Q32450__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 Edward Kerr and someone who was educated at the American Academy of Dramatic Arts? | Edward Kerr | American Academy of Dramatic Arts | educated at | 29 | Query: What are different ways of connecting Edward Kerr and someone who was educated at the American Academy of Dramatic 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, relationship, tail) formi... | [
"<answer>{\"1\": [[\"Edward Kerr\", \"cast member of\", \"seaQuest DSV\"], [\"seaQuest DSV\", \"executive producer\", \"Steven Spielberg\"], [\"Steven Spielberg\", \"director of\", \"1941 (film)\"], [\"1941 (film)\", \"cast member\", \"Don Rickles\"], [\"Don Rickles\", \"educated at\", \"American Academy of Dramati... | [
"Query: What are different ways of connecting Edward Kerr and someone who was educated at the American Academy of Dramatic 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, relationship, tail... | [
{
"completion_tokens": 18814,
"prompt_tokens": 767,
"total_tokens": 19581
}
] |
[
"Q132689",
"P161",
"Q93467"
] | [
"Q132689",
"P161",
"Q3103904"
] | [
"Q3103904",
"P27",
"Q145"
] | [
"Casablanca",
"cast member",
"Paul Henreid"
] | [
"Casablanca",
"cast member",
"Gerald Oliver Smith"
] | [
"Gerald Oliver Smith",
"country of citizenship",
"United Kingdom"
] | Q132689__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 Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom? | Paul Henreid | United Kingdom | country of citizenship | 30 | Query: What are different ways of connecting Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom?
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, relation... | [
"<answer>{\n 1: [\n [\"Paul Henreid\", \"cast member of\", \"Casablanca (1942 film)\"],\n [\"Casablanca (1942 film)\", \"cast member\", \"Claude Rains\"],\n [\"Claude Rains\", \"country of citizenship\", \"United Kingdom\"]\n ],\n 2: [\n [\"Paul Henreid\", \"cast member of\", \"Casablanca (1942 film)... | [
"Query: What are different ways of connecting Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom?\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, r... | [
{
"completion_tokens": 9115,
"prompt_tokens": 772,
"total_tokens": 9887
}
] |
[
"Q189267",
"P161",
"Q374065"
] | [
"Q189267",
"P161",
"Q498820"
] | [
"Q498820",
"P54",
"Q3418614"
] | [
"Two and a Half Men",
"cast member",
"Patton Oswalt"
] | [
"Two and a Half Men",
"cast member",
"John Amos"
] | [
"John Amos",
"member of sports team",
"Colorado State Rams"
] | Q189267__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 Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team? | Patton Oswalt | Colorado State Rams | member of sports team | 31 | Query: What are different ways of connecting Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team?
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, r... | [
"<answer>\n{\n \"1\": [\n [\"Patton Oswalt\", \"educated at\", \"College of William & Mary\"],\n [\"College of William & Mary\", \"notable alumni\", \"Mike Tomlin\"],\n [\"Mike Tomlin\", \"coached\", \"Pittsburgh Steelers\"],\n [\"Pittsburgh Steelers\", \"had player\", \"Joey Porter\"],\n [\"Joey Po... | [
"Query: What are different ways of connecting Patton Oswalt, the comedian and actor, and someone who is a member of the Colorado State Rams sports team?\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": 18841,
"prompt_tokens": 781,
"total_tokens": 19622
}
] |
[
"Q17927578",
"P2293",
"Q131755"
] | [
"Q18045774",
"P2293",
"Q131755"
] | [
"Q18045774",
"P5572",
"Q975459"
] | [
"FBLN1",
"genetic association",
"bipolar disorder"
] | [
"FBXL17",
"genetic association",
"bipolar disorder"
] | [
"FBXL17",
"expressed in",
"vastus lateralis muscle"
] | 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 FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle? | FBLN1 | vastus lateralis muscle | expressed in | 32 | Query: What are different ways of connecting FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle?
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) form... | [
"<answer>\n{\n \"1\": [\n [\"FBLN1\", \"encoded by\", \"FBLN1 (gene)\"],\n [\"FBLN1 (gene)\", \"expressed in\", \"vastus lateralis muscle\"]\n ],\n \"2\": [\n [\"FBLN1\", \"binds\", \"Fibronectin (FN1)\"],\n [\"Fibronectin (FN1)\", \"expressed in\", \"vastus lateralis muscle\"]\n ],\n \"3\": [\n ... | [
"Query: What are different ways of connecting FBLN1, a protein, and a substance that is expressed in the vastus lateralis muscle?\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, tai... | [
{
"completion_tokens": 9024,
"prompt_tokens": 777,
"total_tokens": 9801
}
] |
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:
20 - End Index:
50
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
30 - Output Filename:
connection_queries_jan12__natural__s20__e50__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_s20_e50_n_paths_1_reasoning_medium_0.7_16384_gpt-5-2025-08-07_n10")
Generation Details
This dataset was generated on 2026-03-28 18:16:30 using the inference pipeline with the above configuration.
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