Triple

T14679558
Position Surface form Disambiguated ID Type / Status
Subject Richford, New York E344741 entity
Predicate borders P224 FINISHED
Object Berkshire, New York E217899 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: Berkshire, New York | Statement: [Richford, New York, borders, Berkshire, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkshire, New York
Context triple: [Richford, New York, borders, Berkshire, New York]
  • A. Berkshire, New York chosen
    Berkshire, New York is a small rural town located in Tioga County in the Southern Tier region of the state.
  • B. 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.
  • C. Putnam, New York
    Putnam, New York is a small rural town in northeastern Washington County known for its location between Lake George and the Vermont border.
  • D. Sparkill, New York
    Sparkill, New York is a small hamlet in Rockland County known for its residential character and proximity to the New Jersey border and the Hudson River.
  • E. Shirley, New York
    Shirley, New York is a suburban hamlet on Long Island known for its residential communities and proximity to both Atlantic Ocean beaches and major transportation routes.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07e355881908a2e75ccff4f0590 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.