Triple

T1327305
Position Surface form Disambiguated ID Type / Status
Subject East Fishkill E28357 entity
Predicate adjacentTo P224 FINISHED
Object Fishkill E32854 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: Fishkill | Statement: [East Fishkill, adjacentTo, Fishkill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fishkill
Context triple: [East Fishkill, adjacentTo, Fishkill]
  • A. Fishkill chosen
    Fishkill is a historic town and village in New York’s Hudson Valley, known for its colonial-era sites and role in the American Revolutionary War.
  • B. Wappingers Falls
    Wappingers Falls is a small village in New York’s Hudson Valley known for its historic mill sites and location along Wappinger Creek.
  • C. Hoosick Falls, New York
    Hoosick Falls, New York is a small village in eastern New York State known for its historic mill industry and location near the Vermont border.
  • D. Watervliet, New York
    Watervliet, New York is a small industrial city in Albany County along the Hudson River, historically known for the Watervliet Arsenal and its role in U.S. military manufacturing.
  • E. 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.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c0a22881909eff0fc6c91a5f41 completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3ae387c8190b72ca26ab81a53b6 completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:55 p.m.