Triple

T6447814
Position Surface form Disambiguated ID Type / Status
Subject Belz E139785 entity
Predicate hasCenter P35 FINISHED
Object Monsey, New York E580263 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: Monsey, New York | Statement: [Belz, hasCenter, Monsey, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monsey, New York
Context triple: [Belz, hasCenter, Monsey, New York]
  • A. Monsey, New York chosen
    Monsey, New York is a hamlet in Rockland County known for its large Orthodox Jewish community and significant Hasidic presence.
  • B. Morris, New York
    Morris, New York is a small rural village in Otsego County known for its historic character and agricultural surroundings in central New York State.
  • C. Ossining, New York
    Ossining, New York is a historic Hudson River village and town in Westchester County known for its riverfront, diverse community, and the Sing Sing Correctional Facility.
  • D. Murray, New York
    Murray, New York is a small rural town located in Orleans County in western New York State.
  • E. Nyack, New York
    Nyack, New York is a historic Hudson River village in Rockland County known for its arts scene, riverfront views, and proximity to the Tappan Zee Bridge.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069afd8c48190b3cab580c813ecab completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcfc7388190877ad702ea44802d completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:47 p.m.