Triple

T14407035
Position Surface form Disambiguated ID Type / Status
Subject WES E357225 entity
Predicate shortName P43 FINISHED
Object Westchester E671612 NE FINISHED

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: Westchester | Statement: [WES, shortName, Westchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westchester
Context triple: [WES, shortName, Westchester]
  • A. Westchester chosen
    Westchester is a residential neighborhood in the Westside region of Los Angeles, California, known for housing Los Angeles International Airport (LAX) and the campus of Loyola Marymount University.
  • B. Westchester County, New York
    Westchester County, New York is a suburban county just north of New York City, known for its affluent communities, historic Hudson River towns, and significant role in American colonial and Revolutionary War history.
  • C. Pelham-Clinton
    Pelham-Clinton is a variant of the British aristocratic surname associated with the dukes of Newcastle-under-Lyne.
  • D. Nassau County
    Nassau County is a county in the northeastern corner of Florida, known for its coastal communities and proximity to the Georgia border.
  • E. Dutchess County
    Dutchess County is a county in New York State’s Hudson Valley region, known for its historic estates, scenic landscapes, and towns such as Hyde Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908804048190a4fe58afc2e0a5b6 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5be63848190aa71f009ceaea1b3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:17 a.m.