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 19 | keep_triple bool 1
class | query_prompt stringlengths 3.25k 3.36k | query stringlengths 85 186 | entity_a stringlengths 4 55 | entity_b stringlengths 4 66 | rel_b stringclasses 46
values | index int64 2 928 | prompt stringlengths 3.76k 3.94k | path_prediction listlengths 1 1 | prompt_for_path listlengths 1 1 | all_response_tokens listlengths 1 1 | all_reasoning_tokens listlengths 1 1 | usage listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q2085",
"P161",
"Q164328"
] | [
"Q2085",
"P161",
"Q174263"
] | [
"Q174263",
"P19",
"Q268873"
] | [
"Twin Peaks",
"cast member",
"David Koechner"
] | [
"Twin Peaks",
"cast member",
"Rodney Rowland"
] | [
"Rodney Rowland",
"place of birth",
"Newport Beach"
] | Q2085__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 David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | David Koechner | Newport Beach | place of birth | 2 | Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | [
"<answer>{\n1: [\n [\"David Koechner\", \"acted with\", \"Will Ferrell\"],\n [\"Will Ferrell\", \"co-founded\", \"Funny or Die\"],\n [\"Funny or Die\", \"employed\", \"Jason Sudeikis\"],\n [\"Jason Sudeikis\", \"place of birth\", \"Newport Beach\"]\n],\n2: [\n [\"David Koechner\", \"co-starred in\", \"Anchorma... | [
"Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | [
5132
] | [
5120
] | [
{
"completion_tokens": 5092,
"prompt_tokens": 786,
"total_tokens": 5878
}
] |
[
"Q283572",
"P463",
"Q254138"
] | [
"Q316136",
"P463",
"Q254138"
] | [
"Q316136",
"P19",
"Q39709"
] | [
"Kun Nong",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"member of",
"Slipknot"
] | [
"Chris Fehn",
"place of birth",
"Des Moines"
] | Q254138__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 Kun Nong and someone who was born in Des Moines? | Kun Nong | Des Moines | place of birth | 4 | Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with one entity... | [
"<answer>{\n \"1\": [\n [\"Kun Nong\", \"directed\", \"The Last Harvest\"],\n [\"The Last Harvest\", \"starred\", \"Cloris Leachman\"],\n [\"Cloris Leachman\", \"place of birth\", \"Des Moines\"]\n ],\n \"2\": [\n [\"Kun Nong\", \"coauthored\", \"Midwest Memoirs\"],\n [\"Midwest Memoirs\", \"autho... | [
"Query: What are different ways of connecting Kun Nong and someone who was born in Des Moines?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with one... | [
588
] | [
576
] | [
{
"completion_tokens": 6755,
"prompt_tokens": 775,
"total_tokens": 7530
}
] |
[
"Q651253",
"P40",
"Q1268"
] | [
"Q9356382",
"P40",
"Q1268"
] | [
"Q9356382",
"P22",
"Q11716498"
] | [
"Nicolas Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"child",
"Frédéric Chopin"
] | [
"Tekla Justyna Chopin",
"father",
"Jakub Krzyżanowski"
] | Q1268__P40 | 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 Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski? | Nicolas Chopin | Jakub Krzyżanowski | father | 7 | Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that be... | [
"<answer>{\n \"1\": [\n [\"Nicolas Chopin\", \"married\", \"Justyna Krzyżanowska\"],\n [\"Justyna Krzyżanowska\", \"daughter of\", \"Jakub Krzyżanowski\"],\n [\"Jan Krzyżanowski\", \"father\", \"Jakub Krzyżanowski\"]\n ],\n \"2\": [\n [\"Nicolas Chopin\", \"father of\", \"Frédéric Chopin\"],\n [\"... | [
"Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain ... | [
1356
] | [
1344
] | [
{
"completion_tokens": 5218,
"prompt_tokens": 790,
"total_tokens": 6008
}
] |
[
"Q104776463",
"P58",
"Q107809789"
] | [
"Q104776463",
"P58",
"Q1904757"
] | [
"Q1904757",
"P106",
"Q33999"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Job Römer"
] | [
"The Expedition of the Family Fox",
"screenwriter",
"Nienke Römer"
] | [
"Nienke Römer",
"occupation",
"actor"
] | Q104776463__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 Job Römer, a notable figure, and someone who is an actor? | Job Römer | actor | occupation | 18 | Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an actor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with o... | [
"<answer>{\n\"1\": [\n[\"Job Römer\", \"founded\", \"Toneelgroep Amsterdam\"],\n[\"Toneelgroep Amsterdam\", \"employed\", \"Carice van Houten\"],\n[\"Carice van Houten\", \"occupation\", \"actor\"]\n],\n\"2\": [\n[\"Job Römer\", \"produced\", \"Black Book (film)\"],\n[\"Black Book (film)\", \"starred\", \"Carice va... | [
"Query: What are different ways of connecting Job Römer, a notable figure, and someone who is an actor?\n\nTask: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins... | [
460
] | [
448
] | [
{
"completion_tokens": 4168,
"prompt_tokens": 778,
"total_tokens": 4946
}
] |
[
"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 MANY connection paths. A connection path is a sequence of factual tr... | [
"<answer>{\n\"1\": [\n [\"Jean-Pierre Jeunet\", \"collaborated with\", \"Marc Caro\"],\n [\"Marc Caro\", \"collaborated with\", \"Sylvain Chomet\"],\n [\"Sylvain Chomet\", \"directed\", \"The Triplets of Belleville (2003 film)\"],\n [\"The Triplets of Belleville (2003 film)\", \"nominated for\", \"European 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 MANY connection paths. A connection path is a sequence of fac... | [
3468
] | [
3456
] | [
{
"completion_tokens": 5283,
"prompt_tokens": 803,
"total_tokens": 6086
}
] |
[
"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 MANY connection paths. A connection path is a sequence of factual trip... | [
"<answer>{\n\"1\": [\n[\"Lee Jong-wook\", \"served as\", \"Director-General of the World Health Organization\"],\n[\"Director-General of the World Health Organization\", \"succeeded by\", \"Margaret Chan\"],\n[\"Margaret Chan\", \"educated at\", \"London School of Hygiene & Tropical Medicine\"]\n],\n\"2\": [\n[\"Le... | [
"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 MANY connection paths. A connection path is a sequence of factu... | [
2764
] | [
2752
] | [
{
"completion_tokens": 5012,
"prompt_tokens": 799,
"total_tokens": 5811
}
] |
[
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuo... | [
"<answer>{\n \"1\": [\n [\"Trey Gilleo\", \"teammate of\", \"Alex Martinez\"],\n [\"Alex Martinez\", \"played for\", \"Denver United FC\"],\n [\"Alex Martinez\", \"educated at\", \"Metropolitan State University of Denver\"]\n ],\n \"2\": [\n [\"Trey Gilleo\", \"coached by\", \"Maria Chavez\"],\n [... | [
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | [
908
] | [
896
] | [
{
"completion_tokens": 3174,
"prompt_tokens": 789,
"total_tokens": 3963
}
] |
[
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begin... | [
"<answer>{\n \"1\": [\n [\"Karin C. Berger\", \"spouse\", \"Arash T. Riahi\"],\n [\"Arash T. Riahi\", \"sibling\", \"Arman T. Riahi\"]\n ],\n \"2\": [\n [\"Karin C. Berger\", \"parent\", \"Arash T. Riahi\"],\n [\"Arash T. Riahi\", \"sibling\", \"Arman T. Riahi\"]\n ],\n \"3\": [\n [\"Karin C. Be... | [
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain tha... | [
524
] | [
512
] | [
{
"completion_tokens": 6610,
"prompt_tokens": 793,
"total_tokens": 7403
}
] |
[
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous... | [
"<answer>{\n1: [\n [\"Edward Kerr\", \"acted with\", \"Robert Redford\"],\n [\"Robert Redford\", \"educated at\", \"American Academy of Dramatic Arts\"]\n],\n2: [\n [\"Edward Kerr\", \"co-starred with\", \"Grace Kelly\"],\n [\"Grace Kelly\", \"educated at\", \"American Academy of Dramatic Arts\"]\n],\n3: [\n [... | [
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a con... | [
2444
] | [
2432
] | [
{
"completion_tokens": 3256,
"prompt_tokens": 783,
"total_tokens": 4039
}
] |
[
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) for... | [
"<answer>{\n1: [[\"Paul Henreid\",\"co-starred with\",\"Claude Rains\"],[\"Claude Rains\",\"country of citizenship\",\"United Kingdom\"]],\n2: [[\"Paul Henreid\",\"co-starred with\",\"Gladys Cooper\"],[\"Gladys Cooper\",\"country of citizenship\",\"United Kingdom\"]],\n3: [[\"Paul Henreid\",\"starred in\",\"Now, Vo... | [
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ta... | [
4236
] | [
4224
] | [
{
"completion_tokens": 5500,
"prompt_tokens": 788,
"total_tokens": 6288
}
] |
[
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ta... | [
"<answer>{\n1: [\n[\"Patton Oswalt\", \"performed at\", \"Colorado State University\"],\n[\"Colorado State University\", \"alma mater of\", \"Michael Gallup\"],\n[\"Michael Gallup\", \"member of sports team\", \"Colorado State Rams\"]\n],\n2: [\n[\"Patton Oswalt\", \"performed at\", \"Colorado State University\"],\... | [
"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 MANY connection paths. A connection path is a sequence of factual triples (head, relations... | [
5004
] | [
4992
] | [
{
"completion_tokens": 4422,
"prompt_tokens": 797,
"total_tokens": 5219
}
] |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12_natural_creative_1_medium_0.7_4096_gpt-5-mini-2025-08-07
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gpt-5-mini-2025-08-07 - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
300 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
creative
Generation Parameters
- Temperature:
0.7 - Max Tokens:
1024 - 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:
None - End Index:
None
Data Information
- Input File:
connections-dev/connection_queries_jan12_natural_creative_1_medium_0.7_4096_gpt-5-mini-2025-08-07 - Number of Samples:
299 - Output Filename:
connection_queries_jan12_natural_creative_1_medium_0__natural__creative__1__reasoning__medium__0.7__1024__gpt-5-mini-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/connection_queries_jan12_natural_creative_1_medium_0.7_4096_gpt-5-mini-2025-08-07_v2")
Generation Details
This dataset was generated on 2026-01-25 23:23:18 using the inference pipeline with the above configuration.
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