Triple

T19881155
Position Surface form Disambiguated ID Type / Status
Subject Bash Bish Falls E477774 entity
Predicate near P350 FINISHED
Object Copake, New York NE NERFINISHED

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: Copake, New York | Statement: [Bash Bish Falls, near, Copake, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copake, New York
Context triple: [Bash Bish Falls, near, Copake, New York]
  • A. Copake, New York chosen
    Copake, New York is a small rural town in southeastern Columbia County known for its scenic landscapes, farms, and proximity to the Taconic Mountains and Copake Lake.
  • B. Waccabuc, New York
    Waccabuc, New York is a small, affluent hamlet in northern Westchester County known for its scenic lakes, large estates, and rural, secluded character.
  • C. 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.
  • D. Fonda, New York
    Fonda, New York is a small village in the Mohawk Valley that serves as the administrative and governmental center of Montgomery County.
  • E. Marcellus, New York
    Marcellus, New York is a small town in Onondaga County known for its rural character and proximity to the city of Syracuse.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.