Triple

T21383841
Position Surface form Disambiguated ID Type / Status
Subject Caroline, New York E527437 entity
Predicate adjacentTo P224 FINISHED
Object Dryden, 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: Dryden, New York | Statement: [Caroline, New York, adjacentTo, Dryden, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dryden, New York
Context triple: [Caroline, New York, adjacentTo, Dryden, New York]
  • A. Dryden, New York chosen
    Dryden, New York is a rural town in Tompkins County known for its agricultural landscape, small communities, and proximity to the city of Ithaca and Cornell University.
  • B. Depew, New York
    Depew, New York is a suburban village in Erie County near Buffalo, known as a residential and commercial community within the Buffalo–Niagara Falls metropolitan area.
  • C. 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.
  • D. Colden, New York
    Colden, New York is a small rural town in Erie County, New York, known for its scenic countryside and proximity to the Buffalo metropolitan area.
  • E. Le Ray, New York
    Le Ray, New York is a town in northern New York State known for its proximity to Fort Drum and its location within Jefferson County near the Canadian border.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f164d08190a7df85451c082f53 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.