Triple

T11754362
Position Surface form Disambiguated ID Type / Status
Subject Slaughterhouse-Five E279486 entity
Predicate setting P1957 FINISHED
Object Ilium, New York
Ilium, New York is a fictional upstate New York city created by Kurt Vonnegut that recurs as a central location in several of his novels.
 E642454 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ilium, New York | Statement: [Slaughterhouse-Five, setting, Ilium, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilium, New York
Context triple: [Slaughterhouse-Five, setting, Ilium, New York]
  • A. Ilion, New York
    Ilion, New York is a village in Herkimer County best known as the longtime home of the Remington Arms firearms manufacturing company.
  • B. Lumberland, New York
    Lumberland, New York is a small rural town in western Sullivan County known for its forested landscapes and proximity to the Delaware River.
  • C. Le Roy, New York
    Le Roy, New York is a small village in Genesee County best known as the birthplace of the Jell-O dessert brand.
  • D. Wawayanda, New York
    Wawayanda, New York is a rural town in Orange County known for its agricultural character and proximity to the city of Middletown.
  • E. Elma, New York
    Elma, New York is a suburban town in Erie County, near Buffalo, known for its residential communities and semi-rural character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ilium, New York
Triple: [Slaughterhouse-Five, setting, Ilium, New York]
Generated description
Ilium, New York is a fictional upstate New York city created by Kurt Vonnegut that recurs as a central location in several of his novels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilium, New York
Target entity description: Ilium, New York is a fictional upstate New York city created by Kurt Vonnegut that recurs as a central location in several of his novels.
  • A. Ilion, New York chosen
    Ilion, New York is a village in Herkimer County best known as the longtime home of the Remington Arms firearms manufacturing company.
  • B. Lumberland, New York
    Lumberland, New York is a small rural town in western Sullivan County known for its forested landscapes and proximity to the Delaware River.
  • C. Le Roy, New York
    Le Roy, New York is a small village in Genesee County best known as the birthplace of the Jell-O dessert brand.
  • D. Wawayanda, New York
    Wawayanda, New York is a rural town in Orange County known for its agricultural character and proximity to the city of Middletown.
  • E. Elma, New York
    Elma, New York is a suburban town in Erie County, near Buffalo, known for its residential communities and semi-rural character.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50b8a14819092a7397d73f0a8e3 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a21559c819097d0287dd8e2f411 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05ad36e4c8190b7239e5b33713369 completed April 28, 2026, 6:59 a.m.
Created at: April 8, 2026, 9:41 p.m.