query stringlengths 104 213 | metadata dict | prompting_information dict | path_prediction listlengths 0 0 | reasoning_summary stringclasses 10
values | cost_usd float64 0 0.01 | run_metadata stringclasses 10
values | retrieval_entity_a stringclasses 9
values | retrieval_entity_b stringclasses 9
values | retrieval_shared_pages stringclasses 6
values |
|---|---|---|---|---|---|---|---|---|---|
What are different ways of connecting Josefa Edralin Marcos, a notable figure in Philippine history, and someone who is a lawyer? | {
"triple1": [
"Q21207926",
"P40",
"Q1463"
],
"triple1_labels": [
"Josefa Edralin Marcos",
"child",
"Ferdinand Marcos"
],
"triple2": [
"Q2854731",
"P40",
"Q1463"
],
"triple2_labels": [
"Mariano Marcos",
"child",
"Ferdinand Marcos"
],
"triple3": [
"Q2... | {
"entity_a": "Josefa Edralin Marcos",
"entity_b": "lawyer",
"rel_b": "occupation"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting chlorpromazine, a medication used to treat various mental health conditions, and a substance that physically interacts with the cholinergic receptor nicotinic alpha 1 subunit? | {
"triple1": [
"Q407972",
"P2175",
"Q47790"
],
"triple1_labels": [
"chlorpromazine",
"medical condition treated",
"tetanus"
],
"triple2": [
"Q20817012",
"P2175",
"Q47790"
],
"triple2_labels": [
"metocurine iodide",
"medical condition treated",
"tetanus"
],... | {
"entity_a": "chlorpromazine",
"entity_b": "Cholinergic receptor nicotinic alpha 1 subunit",
"rel_b": "physically interacts with"
} | [] | I'll work through this systematically to find multi-hop paths connecting chlorpromazine to the cholinergic receptor nicotinic alpha 1 subunit via "physically interacts with" relationships.
## Initial Analysis
**What makes chlorpromazine unique:**
- Antipsychotic medication (phenothiazine class)
- Specific brand names... | 0.007478 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": true, "shared_pages_found": 1}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-h... | {"title": "chlorpromazine", "url": "https://en.wikipedia.org/wiki/chlorpromazine", "summary": "Chlorpromazine (CPZ), marketed under the brand names Thorazine and Largactil among others, is an antipsychotic medication. It is primarily used to treat psychotic disorders such as schizophrenia. Other uses include the treatm... | {"title": "Nicotinic acetylcholine receptor", "url": "https://en.wikipedia.org/wiki/Nicotinic_acetylcholine_receptor", "summary": "Nicotinic acetylcholine receptors, or nAChRs, are receptor polypeptides that respond to the neurotransmitter acetylcholine. Nicotinic receptors also respond to drugs such as the agonist ni... | [{"title": "Acetylcholine receptor", "url": "https://en.wikipedia.org/wiki/Acetylcholine_receptor", "snippet": "An acetylcholine receptor (abbreviated AChR) or a cholinergic receptor is an integral membrane protein that responds to the binding of acetylcholine, a neurotransmitter. Acetylcholine receptors play varying r... |
What are different ways of connecting Andrew Goodpaster, a notable military leader, and someone who is the parent of John Podhoretz? | {
"triple1": [
"Q505291",
"P166",
"Q17144"
],
"triple1_labels": [
"Andrew Goodpaster",
"award received",
"Presidential Medal of Freedom"
],
"triple2": [
"Q945011",
"P166",
"Q17144"
],
"triple2_labels": [
"Norman Podhoretz",
"award received",
"Presidential Me... | {
"entity_a": "Andrew Goodpaster",
"entity_b": "John Podhoretz",
"rel_b": "child"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting distigmine, a chemical compound, and a substance that physically interacts with Acetylcholinesterase? | {
"triple1": [
"Q27149809",
"P2175",
"Q8285"
],
"triple1_labels": [
"distigmine",
"medical condition treated",
"myasthenia gravis"
],
"triple2": [
"Q410546",
"P2175",
"Q8285"
],
"triple2_labels": [
"neostigmine",
"medical condition treated",
"myasthenia grav... | {
"entity_a": "distigmine",
"entity_b": "Acetylcholinesterase",
"rel_b": "physically interacts with"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting COL1A1, a gene associated with collagen production, and a substance that is located on human chromosome 3? | {
"triple1": [
"Q14881725",
"P2293",
"Q128581"
],
"triple1_labels": [
"COL1A1",
"genetic association",
"breast cancer"
],
"triple2": [
"Q14911585",
"P2293",
"Q128581"
],
"triple2_labels": [
"TGFBR2",
"genetic association",
"breast cancer"
],
"triple3": [... | {
"entity_a": "COL1A1",
"entity_b": "human chromosome 3",
"rel_b": "chromosome"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting Mariano Marcos, a notable figure, and someone who is the father of Josefa Edralin Marcos? | {
"triple1": [
"Q2854731",
"P40",
"Q1463"
],
"triple1_labels": [
"Mariano Marcos",
"child",
"Ferdinand Marcos"
],
"triple2": [
"Q21207926",
"P40",
"Q1463"
],
"triple2_labels": [
"Josefa Edralin Marcos",
"child",
"Ferdinand Marcos"
],
"triple3": [
"Q2... | {
"entity_a": "Mariano Marcos",
"entity_b": "Fructuoso Carpio Edralin",
"rel_b": "father"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting aripiprazole, a medication used to treat mental health conditions, and a substance that is found in the taxon Lycoris traubii? | {
"triple1": [
"Q411188",
"P2175",
"Q11081"
],
"triple1_labels": [
"aripiprazole",
"medical condition treated",
"Alzheimer's disease"
],
"triple2": [
"Q412690",
"P2175",
"Q11081"
],
"triple2_labels": [
"galantamine",
"medical condition treated",
"Alzheimer's... | {
"entity_a": "aripiprazole",
"entity_b": "Lycoris traubii",
"rel_b": "found in taxon"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting "How I Met Your Mother," the popular television series, and someone who is the spouse of Dan Levy? | {
"triple1": [
"Q50737044",
"P161",
"Q147235"
],
"triple1_labels": [
"Jude Will",
"cast member",
"How I Met Your Mother"
],
"triple2": [
"Q1976946",
"P161",
"Q147235"
],
"triple2_labels": [
"Rachel Specter",
"cast member",
"How I Met Your Mother"
],
"tri... | {
"entity_a": "How I Met Your Mother",
"entity_b": "Dan Levy",
"rel_b": "spouse"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting NFIA, a gene involved in neural development, and a substance that is expressed in the skin of the hip? | {
"triple1": [
"Q18030075",
"P2293",
"Q11088"
],
"triple1_labels": [
"NFIA",
"genetic association",
"coeliac disease"
],
"triple2": [
"Q18026947",
"P2293",
"Q11088"
],
"triple2_labels": [
"HLA-DQA1",
"genetic association",
"coeliac disease"
],
"triple3":... | {
"entity_a": "NFIA",
"entity_b": "skin of hip",
"rel_b": "expressed in"
} | [] | I need to find multi-hop paths connecting NFIA (a gene involved in neural development) to "skin of hip" via the relation "expressed in".
Let me first analyze what I know:
**About NFIA:**
- It's a gene encoding Nuclear factor 1 A-type protein
- Involved in neural development
- A transcription factor
**About skin of h... | 0.004483 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": true, "shared_pages_found": 0}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-h... | {"title": "NFIA", "url": "https://en.wikipedia.org/wiki/NFIA", "summary": "Nuclear factor 1 A-type is a protein that in humans is encoded by the NFIA gene.", "facts": ["Nuclear factor 1 A-type is a protein that in humans is encoded by the NFIA gene."], "found": true} | {"title": "Catalase", "url": "https://en.wikipedia.org/wiki/Catalase", "summary": "Catalase is a common enzyme found in nearly all living organisms exposed to oxygen which catalyzes the decomposition of hydrogen peroxide to water and oxygen. It is a very important enzyme in protecting the cell from oxidative damage by ... | [] |
What are different ways of connecting (R,R)-asenapine, a chemical compound, and a substance that is the active ingredient in Aripiprazole Sandoz? | {
"triple1": [
"Q50824517",
"P2175",
"Q41112"
],
"triple1_labels": [
"(R,R)-asenapine",
"medical condition treated",
"schizophrenia"
],
"triple2": [
"Q411188",
"P2175",
"Q41112"
],
"triple2_labels": [
"aripiprazole",
"medical condition treated",
"schizophren... | {
"entity_a": "(R,R)-asenapine",
"entity_b": "Aripiprazole Sandoz",
"rel_b": "active ingredient in"
} | [] | I need to find paths connecting (R,R)-asenapine to Aripiprazole Sandoz via "active ingredient in" relations.
Let me first analyze the retrieved context carefully:
**Key Issue:** The retrieved context describes Aripiprazole Sandoz but then provides information about Quetiapine (Seroquel), not Aripiprazole. This is a m... | 0.004804 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": true, "shared_pages_found": 3}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-h... | {"title": "Asenapine", "url": "https://en.wikipedia.org/wiki/Asenapine", "summary": "Asenapine, sold under the brand name Saphris among others, is an atypical antipsychotic medication used to treat schizophrenia and acute mania associated with bipolar disorder as well as the medium to long-term management of bipolar di... | {"title": "Quetiapine", "url": "https://en.wikipedia.org/wiki/Quetiapine", "summary": "Quetiapine ( kwi-TY-\u0259-peen), sold under the brand name Seroquel among others, is an atypical antipsychotic medication used in the treatment of schizophrenia, bipolar disorder, and major depressive disorder. Despite being widely ... | [{"title": "Antipsychotic", "url": "https://en.wikipedia.org/wiki/Antipsychotic", "snippet": ""}, {"title": "Quetiapine", "url": "https://en.wikipedia.org/wiki/Quetiapine", "snippet": ""}, {"title": "Propranolol", "url": "https://en.wikipedia.org/wiki/Propranolol", "snippet": ""}] |
What are different ways of connecting Janet Varney, an actress and voice artist, and someone who has worked on films that feature screenplays written by a notable screenwriter? | {
"triple1": [
"Q147235",
"P161",
"Q979679"
],
"triple1_labels": [
"How I Met Your Mother",
"cast member",
"Janet Varney"
],
"triple2": [
"Q147235",
"P161",
"Q784009"
],
"triple2_labels": [
"How I Met Your Mother",
"cast member",
"Danny Strong"
],
"tripl... | {
"entity_a": "Janet Varney",
"entity_b": "Category:Films with screenplays by Danny Strong",
"rel_b": "related category"
} | [] | I'll work through this systematically to find multi-hop paths connecting Janet Varney to Category:Films with screenplays by Danny Strong.
## Initial Analysis
**About Janet Varney (unique properties):**
- Voice actress for Korra in The Legend of Korra (Nickelodeon)
- Co-starred in Stan Against Evil as Sheriff Evie Bar... | 0.005582 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": false, "shared_pages_found": 3}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-... | {"title": "Janet Varney", "url": "https://en.wikipedia.org/wiki/Janet_Varney", "summary": "Janet Varney is an American actress, comedian, writer and producer. She is known for voicing the character of Korra in the Nickelodeon animated television series The Legend of Korra, co-starring as Sheriff Evie Barret in the tele... | {"title": "Category:Films with screenplays by Danny Strong", "url": "", "summary": "", "facts": [], "found": false} | [{"title": "List of American films of 1999", "url": "https://en.wikipedia.org/wiki/List_of_American_films_of_1999", "snippet": ""}, {"title": "List of American films of 1991", "url": "https://en.wikipedia.org/wiki/List_of_American_films_of_1991", "snippet": ""}, {"title": "List of American films of 2011", "url": "https... |
What are different ways of connecting David Duchovny, the American actor, and someone who holds Polish citizenship? | {
"triple1": [
"Q2085",
"P161",
"Q484365"
],
"triple1_labels": [
"Twin Peaks",
"cast member",
"David Duchovny"
],
"triple2": [
"Q2085",
"P161",
"Q440960"
],
"triple2_labels": [
"Twin Peaks",
"cast member",
"Karolina Wydra"
],
"triple3": [
"Q440960",
... | {
"entity_a": "David Duchovny",
"entity_b": "Poland",
"rel_b": "country of citizenship"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting LYZL2, a gene, and a substance that is expressed in the C1 segment of NT5DC1? | {
"triple1": [
"Q18049345",
"P2293",
"Q133772"
],
"triple1_labels": [
"LYZL2",
"genetic association",
"dental caries"
],
"triple2": [
"Q18053486",
"P2293",
"Q133772"
],
"triple2_labels": [
"NT5DC1",
"genetic association",
"dental caries"
],
"triple3": [
... | {
"entity_a": "LYZL2",
"entity_b": "C1 segment",
"rel_b": "expressed in"
} | [] | I need to carefully analyze this task. Let me start by understanding what we're looking for:
1. **LYZL2**: This is a gene (lysozyme-like 2)
2. **C1 segment**: The retrieved context describes this as an automotive classification (A-segment cars), but this seems like a mismatch. In biological/medical contexts, "C1 segme... | 0.004485 | {"steps": [{"step": "retrieval", "entity_a_found": false, "entity_b_found": true, "shared_pages_found": 0}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-... | {"title": "LYZL2", "url": "", "summary": "", "facts": [], "found": false} | {"title": "A-segment", "url": "https://en.wikipedia.org/wiki/A-segment", "summary": "The A-segment is the first category in the passenger car classification system defined by the European Commission. It is used for city cars, the smallest category of passenger cars defined. A-segment sales represented approximately 4.2... | [] |
What are different ways of connecting Shia LaBeouf, the American actor, and someone who was born in Baltimore? | {
"triple1": [
"Q2744",
"P161",
"Q180942"
],
"triple1_labels": [
"The X-Files",
"cast member",
"Shia LaBeouf"
],
"triple2": [
"Q2744",
"P161",
"Q239328"
],
"triple2_labels": [
"The X-Files",
"cast member",
"Penny Johnson Jerald"
],
"triple3": [
"Q239... | {
"entity_a": "Shia LaBeouf",
"entity_b": "Baltimore",
"rel_b": "place of birth"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting Michael Lanese, and someone who played as a quarterback on a team? | {
"triple1": [
"Q125650757",
"P54",
"Q7080909"
],
"triple1_labels": [
"Michael Lanese",
"member of sports team",
"Ohio State Buckeyes football"
],
"triple2": [
"Q73130120",
"P54",
"Q7080909"
],
"triple2_labels": [
"Rod Gerald",
"member of sports team",
"Ohio... | {
"entity_a": "Michael Lanese",
"entity_b": "quarterback",
"rel_b": "position played on team / speciality"
} | [] | I need to find multi-hop paths connecting Michael Lanese to someone who played quarterback.
Let me first analyze the retrieved context:
**About Michael Lanese:**
The context provided is actually about "Michael Thomas Osterholm" (born March 10, 1953), an epidemiologist at University of Minnesota. However, the task ask... | 0.003835 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": true, "shared_pages_found": 3}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-h... | {"title": "Michael Osterholm", "url": "https://en.wikipedia.org/wiki/Michael_Osterholm", "summary": "Michael Thomas Osterholm (born March 10, 1953) is an American epidemiologist, Regents Professor at the University of Minnesota School of Public Health, and director of the Center for Infectious Disease Research and Poli... | {"title": "quarterback", "url": "https://en.wikipedia.org/wiki/quarterback", "summary": "The quarterback (QB) is a position in gridiron football who is a member of the offensive side of the ball and usually lines up directly behind the offensive line. In modern American football, the quarterback is usually considered t... | [{"title": "Deaths in April 2024", "url": "https://en.wikipedia.org/wiki/Deaths_in_April_2024", "snippet": ""}, {"title": "2024 deaths in the United States", "url": "https://en.wikipedia.org/wiki/2024_deaths_in_the_United_States", "snippet": ""}, {"title": "Ohio State Buckeyes football", "url": "https://en.wikipedia.or... |
What are different ways of connecting amprenavir, a medication used in the treatment of HIV, and a substance that is found in the taxon Stachybotrys chartarum? | {
"triple1": [
"Q422198",
"P2175",
"Q12199"
],
"triple1_labels": [
"amprenavir",
"medical condition treated",
"HIV/AIDS"
],
"triple2": [
"Q263713",
"P2175",
"Q12199"
],
"triple2_labels": [
"nevirapine",
"medical condition treated",
"HIV/AIDS"
],
"triple3... | {
"entity_a": "amprenavir",
"entity_b": "Stachybotrys chartarum",
"rel_b": "found in taxon"
} | [] | I need to find multi-hop paths connecting amprenavir to Stachybotrys chartarum via "found in taxon" relationships.
Let me think through this carefully:
## Analysis
**About amprenavir:**
- Protease inhibitor for HIV treatment
- FDA approved April 15, 1999
- Discontinued December 31, 2004
- Prodrug version: fosamprena... | 0.00529 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": true, "shared_pages_found": 0}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-h... | {"title": "amprenavir", "url": "https://en.wikipedia.org/wiki/amprenavir", "summary": "Amprenavir is a protease inhibitor used to treat HIV infection. It was approved by the Food and Drug Administration on April 15, 1999, for twice-a-day dosing instead of needing to be taken every eight hours. The convenient dosing cam... | {"title": "Stachybotrys chartarum", "url": "https://en.wikipedia.org/wiki/Stachybotrys_chartarum", "summary": "Stachybotrys chartarum, also known as black mold is a species of microfungus that produces its conidia in slime heads.", "facts": ["Stachybotrys chartarum, also known as black mold is a species of microfungus ... | [] |
What are different ways of connecting PRRC2C, a gene, and a substance that is expressed in the spinal cord? | {
"triple1": [
"Q18037003",
"P2293",
"Q11081"
],
"triple1_labels": [
"PRRC2C",
"genetic association",
"Alzheimer's disease"
],
"triple2": [
"Q14914401",
"P2293",
"Q11081"
],
"triple2_labels": [
"GAB2",
"genetic association",
"Alzheimer's disease"
],
"tri... | {
"entity_a": "PRRC2C",
"entity_b": "spinal cord",
"rel_b": "expressed in"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting Sasha Vujačić, the professional basketball player, and someone who was born in Bainbridge? | {
"triple1": [
"Q318926",
"P54",
"Q131364"
],
"triple1_labels": [
"Sasha Vujačić",
"member of sports team",
"New York Knicks"
],
"triple2": [
"Q3840919",
"P54",
"Q131364"
],
"triple2_labels": [
"Luther Rackley",
"member of sports team",
"New York Knicks"
]... | {
"entity_a": "Sasha Vujačić",
"entity_b": "Bainbridge",
"rel_b": "place of birth"
} | [] | I'll work through this systematically to find multi-hop paths connecting Sasha Vujačić to someone born in Bainbridge.
## Initial Analysis
**About Sasha Vujačić (unique properties):**
- Slovenian former professional basketball player
- Selected by LA Lakers in 2004 NBA draft (27th pick)
- Set Lakers record for 3-point... | 0.004863 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": true, "shared_pages_found": 0}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-h... | {"title": "Sasha Vuja\u010di\u0107", "url": "https://en.wikipedia.org/wiki/Sasha_Vuja\u010di\u0107", "summary": "Aleksander \"Sasha\" Vuja\u010di\u0107 is a Slovenian former professional basketball player. He was selected by the Los Angeles Lakers in the first round of the 2004 NBA draft with the 27th overall pick. In ... | {"title": "Bainbridge", "url": "https://en.wikipedia.org/wiki/Bainbridge", "summary": "Bainbridge may refer to:", "facts": ["Bainbridge may refer to:"], "found": true} | [] |
What are different ways of connecting The Princess Diaries, a popular film, and someone who was born in Great Lakes? | {
"triple1": [
"Q24808698",
"P162",
"Q1046295"
],
"triple1_labels": [
"Mario Iscovich",
"producer",
"The Princess Diaries"
],
"triple2": [
"Q4282549",
"P162",
"Q1046295"
],
"triple2_labels": [
"Debra Martin Chase",
"producer",
"The Princess Diaries"
],
"... | {
"entity_a": "The Princess Diaries",
"entity_b": "Great Lakes",
"rel_b": "place of birth"
} | [] | 0 | {} | null | null | null | |
What are different ways of connecting Józef Wincenty Piłsudski, the Polish statesman, and someone who is the mother of Maria Piłsudska? | {
"triple1": [
"Q11731620",
"P40",
"Q885"
],
"triple1_labels": [
"Józef Wincenty Piłsudski",
"child",
"Józef Piłsudski"
],
"triple2": [
"Q11769095",
"P40",
"Q885"
],
"triple2_labels": [
"Maria Piłsudska",
"child",
"Józef Piłsudski"
],
"triple3": [
"Q... | {
"entity_a": "Józef Wincenty Piłsudski",
"entity_b": "Helena Michałowska",
"rel_b": "mother"
} | [] | I need to analyze this task carefully.
## Initial Analysis
**About Józef Wincenty Piłsudski:**
The retrieved context actually describes **Wincenty Witos**, not Józef Wincenty Piłsudski. These are two different Polish statesmen. Józef Wincenty Piłsudski (1867-1935) was a military leader and statesman who founded the S... | 0.004395 | {"steps": [{"step": "retrieval", "entity_a_found": true, "entity_b_found": true, "shared_pages_found": 1}, {"step": "generation", "model": "claude-haiku-4-5-20251001", "prompt": "You are an expert knowledge-graph reasoner with access to retrieved facts.\nYour task is to find as many FACTUAL, DIVERSE, and STRONG multi-h... | {"title": "Wincenty Witos", "url": "https://en.wikipedia.org/wiki/Wincenty_Witos", "summary": "Wincenty Witos was a Polish statesman, prominent member and leader of the Polish People's Party (PSL), who served three times as the Prime Minister of Poland in the 1920s. He was a member of the Polish People's Party from 18... | {"title": "Zalavas", "url": "https://en.wikipedia.org/wiki/Zalavas", "summary": "Zalavas is a small village in \u0160ven\u010dionys district municipality, Lithuania. It is located on the Mera River near the Lithuanian state border with Belarus. According to the Lithuanian census of 2011, it had 140 residents.", "facts"... | [{"title": "Zalavas", "url": "https://en.wikipedia.org/wiki/Zalavas", "snippet": ""}] |
rag-haiku-hard20
Run timestamp: 2026-03-18T15:02:38 Benchmark: CREATE — associative reasoning via knowledge-graph path generation
Run Parameters
| Parameter | Value |
|---|---|
| Mode | rag |
| Generator model | claude-haiku-4-5-20251001 |
| Scorer model | gpt-4.1-mini-2025-04-14 |
| Temperature | None |
| Max tokens | 4096 |
| verify_factuality | True |
Run Summary
| Metric | Value |
|---|---|
| Instances processed | 20 |
| Total paths generated | 0 |
| Avg paths / instance | 0.00 |
| Min paths / instance | 0 |
| Max paths / instance | 0 |
| Total cost (USD) | $0.0452 |
Dataset Format
Each row contains:
query— the original CREATE benchmark query stringpath_prediction— list of path strings, each a JSON array of[head, relation, tail]triplescost_usd— LLM API cost for this instance in USD- All original CREATE fields (metadata, prompting_information, etc.)
Prompt Strategy: RAG-Augmented (Mode A)
A single LLM call augmented with Wikipedia retrieval. Pipeline:
Entity grounding — Wikipedia summaries and key facts are retrieved for both
entity_aandentity_b, plus a shared-connections search for pages mentioning both.RAG-augmented generation — the retrieved context is prepended to the prompt. The model is instructed to prioritize paths grounded in retrieved facts, and to note which retrieved fact grounds each path in its thinking.
Factuality pre-filter — a cheap scorer model verifies each triple in each path. Paths with any hallucinated triple are discarded before output.
The same strength-first, diversity-structured, and confidence-floor instructions from the single-model prompt are included.
Generated by create_solver
- Downloads last month
- 16