Triple

T4316921
Position Surface form Disambiguated ID Type / Status
Subject Islip E96415 entity
Predicate contains P35 FINISHED
Object Ronkonkoma, New York (part) E104305 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: Ronkonkoma, New York (part) | Statement: [Islip, contains, Ronkonkoma, New York (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronkonkoma, New York (part)
Context triple: [Islip, contains, Ronkonkoma, New York (part)]
  • A. Rockland, New York
    Rockland, New York is a small town in Sullivan County known for its rural character and location in the Catskill region of southeastern New York State.
  • B. Ronkonkoma chosen
    Ronkonkoma is a hamlet in Suffolk County, New York, known as a major transportation hub on central Long Island.
  • C. Napeague, New York
    Napeague, New York is a sparsely populated coastal hamlet on the South Fork of Long Island known for its beaches, dunes, and Napeague State Park.
  • D. Napanoch, New York
    Napanoch, New York is a small hamlet in Ulster County’s Town of Wawarsing in the Catskills region, historically shaped by its rural setting and former correctional facilities.
  • E. Valhalla, New York
    Valhalla, New York is a hamlet in the town of Mount Pleasant in Westchester County, known for its suburban character and several notable cemeteries and memorial sites.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f733888190866611fcdea97a5f completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d085f78481909bb6dd55bf06d9d6 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:12 p.m.