Triple

T15830688
Position Surface form Disambiguated ID Type / Status
Subject North Fork, Long Island E383859 entity
Predicate hasHamlet P12354 FINISHED
Object Laurel, New York E654776 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: Laurel, New York | Statement: [North Fork, Long Island, hasHamlet, Laurel, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurel, New York
Context triple: [North Fork, Long Island, hasHamlet, Laurel, New York]
  • A. Laurel, New York chosen
    Laurel, New York is a small hamlet on the North Fork of Long Island known for its rural character, vineyards, and waterfront along Peconic Bay.
  • B. Laurens, New York
    Laurens, New York is a small village in central New York State that serves as a local residential and community hub within Otsego County.
  • C. Lancaster, New York
    Lancaster, New York is a suburban town and village community located just east of Buffalo in western New York State.
  • D. Scio, New York
    Scio, New York is a small rural town in Allegany County known as the birthplace of Medal of Honor recipient Jason Dunham.
  • E. Ripley, New York
    Ripley, New York is a small town in Chautauqua County near the western edge of the state, known for its rural character and location along Lake Erie.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e636bb48190a6b39feb550aaa3d completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d447f5cc81908757869f2d1e94a1 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:49 a.m.