Triple

T21253250
Position Surface form Disambiguated ID Type / Status
Subject Hinckley Dam E523797 entity
Predicate locatedNear P294 FINISHED
Object Hinckley, 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: Hinckley, New York | Statement: [Hinckley Dam, locatedNear, Hinckley, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinckley, New York
Context triple: [Hinckley Dam, locatedNear, Hinckley, New York]
  • A. Hinckley, New York chosen
    Hinckley, New York is a small hamlet in Oneida County known for its proximity to the Hinckley Reservoir and its rural, scenic setting in upstate New York.
  • B. Holley, New York
    Holley, New York is a small village in western New York State known for its historic canal-side setting along the Erie Canal in Orleans County.
  • C. Houghton, New York
    Houghton, New York is a small hamlet in Allegany County best known as the home of Houghton University, a private Christian liberal arts college.
  • D. Williamson, New York
    Williamson, New York is a small town in Wayne County along the southern shore of Lake Ontario, known for its apple orchards and agricultural heritage.
  • E. Hewlett, New York
    Hewlett, New York is a suburban hamlet on Long Island’s South Shore known for its residential neighborhoods and proximity to New York City.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0391881908e45909e939415a5 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.