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 3.24k 3.36k | query stringlengths 85 206 | entity_a stringlengths 4 55 | entity_b stringlengths 4 66 | rel_b stringclasses 50
values | index int64 2 930 | prompt stringlengths 4.43k 4.62k | 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 \"path_probability\": 0.30,\n \"path\": [\n [\"David Koechner\", \"acted in\", \"Anchorman: The Legend of Ron Burgundy\"],\n [\"Anchorman: The Legend of Ron Burgundy\", \"co-starred\", \"Will Ferrell\"],\n [\"Will Ferrell\", \"place of birth\", \"Irvine\"]\n ]\n},\n2: {\n \"path_prob... | [
"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... | [
3532
] | [
3520
] | [
{
"completion_tokens": 3947,
"prompt_tokens": 926,
"total_tokens": 4873
}
] |
[
"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 \"path_probability\": 0.25,\n \"path\": [\n [\n \"Kun Nong\",\n \"collaborated with\",\n \"Cloris Leachman\"\n ],\n [\n \"Cloris Leachman\",\n \"place of birth\",\n \"Des Moines\"\n ]\n ]\n},\n\"2\": {\n \"path_probability\": 0.20,\n \"path\": [\... | [
"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... | [
460
] | [
448
] | [
{
"completion_tokens": 4825,
"prompt_tokens": 915,
"total_tokens": 5740
}
] |
[
"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 \"path_probability\": 0.30,\n \"path\": [\n (\"Nicolas Chopin\", \"father\", \"Jakub Krzyżanowski\")\n ]\n},\n\"2\": {\n \"path_probability\": 0.18,\n \"path\": [\n (\"Nicolas Chopin\", \"spouse\", \"Justyna Krzyżanowska\"),\n (\"Justyna Krzyżanowska\", \"spouse_of\", \"Nicolas ... | [
"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 ... | [
716
] | [
704
] | [
{
"completion_tokens": 6258,
"prompt_tokens": 930,
"total_tokens": 7188
}
] |
[
"Q47703",
"P161",
"Q960676"
] | [
"Q47703",
"P161",
"Q786720"
] | [
"Q786720",
"P19",
"Q18419"
] | [
"The Godfather",
"cast member",
"Joe Spinell"
] | [
"The Godfather",
"cast member",
"Richard Bright"
] | [
"Richard Bright",
"place of birth",
"Brooklyn"
] | Q47703__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 Joe Spinell, the American actor, and someone who was born in Brooklyn? | Joe Spinell | Brooklyn | place of birth | 10 | Query: What are different ways of connecting Joe Spinell, the American actor, and someone who was born in Brooklyn?
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 ... | [
"<answer>{\n\"1\": {\n \"path_probability\": 0.22,\n \"path\": [\n [\"Joe Spinell\", \"acted in\", \"The Godfather\"],\n [\"The Godfather\", \"has actor\", \"Abe Vigoda\"],\n [\"Abe Vigoda\", \"place of birth\", \"Brooklyn\"]\n ]\n},\n\"2\": {\n \"path_probability\": 0.18,\n \"path\": [\n [\"Joe Sp... | [
"Query: What are different ways of connecting Joe Spinell, the American actor, and someone who was born in Brooklyn?\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 chai... | [
6412
] | [
6400
] | [
{
"completion_tokens": 8253,
"prompt_tokens": 922,
"total_tokens": 9175
}
] |
[
"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 \"path_probability\": 0.15,\n \"path\": [\n [\"Job Römer\", \"born in\", \"Amsterdam\"],\n [\"Amsterdam\", \"birthplace of\", \"Carice van Houten\"],\n [\"Carice van Houten\", \"occupation\", \"actor\"]\n ]\n },\n \"2\": {\n \"path_probability\": 0.12,\n \"pa... | [
"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... | [
524
] | [
512
] | [
{
"completion_tokens": 4951,
"prompt_tokens": 918,
"total_tokens": 5869
}
] |
[
"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 \"path_probability\": 0.20,\n \"path\": [\n (\"Trey Gilleo\", \"educated at\", \"Metropolitan State University of Denver\")\n ]\n},\n\"2\": {\n \"path_probability\": 0.17,\n \"path\": [\n (\"Trey Gilleo\", \"worked with\", \"Michael Hancock (politician)\"),\n (\"Michael Hancock ... | [
"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... | [
716
] | [
704
] | [
{
"completion_tokens": 3323,
"prompt_tokens": 929,
"total_tokens": 4252
}
] |
[
"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 \"path_probability\": 0.18,\n \"path\": [\n [\"Karin C. Berger\", \"juror_at\", \"Viennale (Vienna International Film Festival)\"],\n [\"Viennale (Vienna International Film Festival)\", \"screened\", \"film_by Arash T. Riahi\"],\n [\"Arash T. Riahi\", \"sibling\", \"Arm... | [
"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... | [
588
] | [
576
] | [
{
"completion_tokens": 4751,
"prompt_tokens": 933,
"total_tokens": 5684
}
] |
[
"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>{\n \"1\": {\n \"path_probability\": 0.15,\n \"path\": [\n (\"Edward Kerr\", \"co-starred with\", \"Alec Baldwin (actor)\"),\n (\"Alec Baldwin (actor)\", \"educated at\", \"American Academy of Dramatic Arts\")\n ]\n },\n \"2\": {\n \"path_probability\": 0.13,\n \"path\": [\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... | [
2060
] | [
2048
] | [
{
"completion_tokens": 3999,
"prompt_tokens": 923,
"total_tokens": 4922
}
] |
[
"Q101094804",
"P58",
"Q2542089"
] | [
"Q101094804",
"P58",
"Q616756"
] | [
"Q616756",
"P106",
"Q3282637"
] | [
"Vain neljä kertaa",
"screenwriter",
"Walentin Chorell"
] | [
"Vain neljä kertaa",
"screenwriter",
"Aito Mäkinen"
] | [
"Aito Mäkinen",
"occupation",
"film producer"
] | Q101094804__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 Walentin Chorell, a notable figure in literature, and someone who works as a film producer? | Walentin Chorell | film producer | occupation | 34 | Query: What are different ways of connecting Walentin Chorell, a notable figure in literature, and someone who works as a film producer?
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>{\n \"1\": {\n \"path_probability\": 0.20,\n \"path\": [\n [\"Walentin Chorell\", \"authored\", \"A Storm of Silence\"],\n [\"A Storm of Silence\", \"adapted into\", \"A Storm of Silence (film)\"],\n [\"A Storm of Silence (film)\", \"produced by\", \"Kathleen Kennedy\"],\n [\"Kat... | [
"Query: What are different ways of connecting Walentin Chorell, a notable figure in literature, and someone who works as a film producer?\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... | [
460
] | [
448
] | [
{
"completion_tokens": 4952,
"prompt_tokens": 929,
"total_tokens": 5881
}
] |
[
"Q201646",
"P39",
"Q11699"
] | [
"Q24313",
"P39",
"Q11699"
] | [
"Q24313",
"P69",
"Q5150087"
] | [
"George Clinton",
"position held",
"Vice President of the United States"
] | [
"Mike Pence",
"position held",
"Vice President of the United States"
] | [
"Mike Pence",
"educated at",
"Columbus North High School"
] | Q11699__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 George Clinton, the influential musician, and someone who was educated at Columbus North High School? | George Clinton | Columbus North High School | educated at | 37 | Query: What are different ways of connecting George Clinton, the influential musician, and someone who was educated at Columbus North High School?
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) f... | [
"<answer>{\n \"1\": {\n \"path_probability\": 0.20,\n \"path\": [\n [\"George Clinton\", \"member of\", \"Parliament-Funkadelic\"],\n [\"Parliament-Funkadelic\", \"performed in\", \"Columbus, Indiana\"],\n [\"Columbus, Indiana\", \"hometown of\", \"J. Irwin Miller\"],\n [\"J. Irwin Miller... | [
"Query: What are different ways of connecting George Clinton, the influential musician, and someone who was educated at Columbus North High School?\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, ... | [
3276
] | [
3264
] | [
{
"completion_tokens": 5197,
"prompt_tokens": 924,
"total_tokens": 6121
}
] |
[
"Q189267",
"P161",
"Q240436"
] | [
"Q189267",
"P161",
"Q122020"
] | [
"Q122020",
"P264",
"Q387539"
] | [
"Two and a Half Men",
"cast member",
"Krista Allen"
] | [
"Two and a Half Men",
"cast member",
"Hilary Duff"
] | [
"Hilary Duff",
"record label",
"Hollywood Records"
] | 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 Krista Allen, the actress, and someone who is associated with Hollywood Records, a well-known record label? | Krista Allen | Hollywood Records | record label | 38 | Query: What are different ways of connecting Krista Allen, the actress, and someone who is associated with Hollywood Records, a well-known record label?
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, t... | [
"<answer>{\n1: {\n \"path_probability\": 0.16,\n \"path\": [\n [\"Krista Allen\", \"co-star\", \"Hilary Duff\"],\n [\"Hilary Duff\", \"record label\", \"Hollywood Records\"]\n ]\n},\n2: {\n \"path_probability\": 0.14,\n \"path\": [\n [\"Krista Allen\", \"appeared with\", \"Demi Lovato\"],\n [\"Demi... | [
"Query: What are different ways of connecting Krista Allen, the actress, and someone who is associated with Hollywood Records, a well-known record label?\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, relation... | [
2764
] | [
2752
] | [
{
"completion_tokens": 3968,
"prompt_tokens": 927,
"total_tokens": 4895
}
] |
[
"Q2158789",
"P166",
"Q17144"
] | [
"Q179051",
"P166",
"Q17144"
] | [
"Q179051",
"P106",
"Q28389"
] | [
"Robert S. Strauss",
"award received",
"Presidential Medal of Freedom"
] | [
"Kareem Abdul-Jabbar",
"award received",
"Presidential Medal of Freedom"
] | [
"Kareem Abdul-Jabbar",
"occupation",
"screenwriter"
] | Q17144__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 Robert S. Strauss, a notable figure in American politics, and someone who is known for their work as a screenwriter? | Robert S. Strauss | screenwriter | occupation | 43 | Query: What are different ways of connecting Robert S. Strauss, a notable figure in American politics, and someone who is known for their work as a screenwriter?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relati... | [
"<answer>{\n\"1\": {\n \"path_probability\": 0.18,\n \"path\": [\n [\"Robert S. Strauss\", \"co-founder\", \"Akin Gump Strauss Hauer & Feld\"],\n [\"Akin Gump Strauss Hauer & Feld\", \"represented\", \"20th Century Fox\"],\n [\"20th Century Fox\", \"employed\", \"William Goldman (screenwriter)\"],\n [... | [
"Query: What are different ways of connecting Robert S. Strauss, a notable figure in American politics, and someone who is known for their work as a screenwriter?\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,... | [
4236
] | [
4224
] | [
{
"completion_tokens": 4535,
"prompt_tokens": 931,
"total_tokens": 5466
}
] |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12_natural_verbalized_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:
verbalized
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_verbalized_1_medium_0.7_4096_gpt-5-mini-2025-08-07 - Number of Samples:
338 - Output Filename:
connection_queries_jan12_natural_verbalized_1_medium_0__natural__verbalized__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_verbalized_1_medium_0.7_4096_gpt-5-mini-2025-08-07_v2")
Generation Details
This dataset was generated on 2026-01-25 23:34:11 using the inference pipeline with the above configuration.
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