Triple

T18216260
Position Surface form Disambiguated ID Type / Status
Subject I-990 E436166 entity
Predicate servesCity P82 FINISHED
Object Buffalo, New York NE NERFINISHED

How this triple was built (2 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: Buffalo, New York | Statement: [I-990, servesCity, Buffalo, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buffalo, New York
Context triple: [I-990, servesCity, Buffalo, New York]
  • A. Buffalo chosen
    Buffalo is a major city in western New York State known for its industrial history, proximity to Niagara Falls, and namesake Buffalo-style chicken wings.
  • B. Hamilton, New York
    Hamilton, New York is a small village in Madison County best known as the home of Colgate University.
  • C. Downtown Buffalo
    Downtown Buffalo is the central business and cultural district of Buffalo, New York, known for its historic architecture, waterfront access, and role as the region’s commercial hub.
  • D. Rochester, New York
    Rochester, New York is a major city in western New York State known for its industrial history, universities, and cultural institutions along the Genesee River.
  • E. Jackson, New York
    Jackson, New York is a small rural town in Washington County known for its agricultural landscape and historic countryside in eastern upstate New York.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47765a081908d0bbca1245f89ba completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.