Triple

T10506993
Position Surface form Disambiguated ID Type / Status
Subject Auburn, Massachusetts E247811 entity
Predicate namedAfter P63 FINISHED
Object Auburn, New York E68578 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: Auburn, New York | Statement: [Auburn, Massachusetts, namedAfter, Auburn, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, New York
Context triple: [Auburn, Massachusetts, namedAfter, Auburn, New York]
  • A. Auburn, New York chosen
    Auburn, New York is a small city in central New York State historically known as a 19th-century publishing center and the site of Auburn Prison.
  • B. Canastota, New York
    Canastota, New York is a small village in Madison County best known as the home of the International Boxing Hall of Fame.
  • C. Cambria, New York
    Cambria, New York is a rural town in Niagara County known for its agricultural landscape and small-community character in western New York State.
  • D. Shelby, New York
    Shelby, New York is a small rural town located in Orleans County in western New York State.
  • E. Clermont, New York
    Clermont, New York is a small historic town in Columbia County along the Hudson River, known for its rural character and the Clermont State Historic Site.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b17cd88190b37e41b3ce2b4b16 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5561714a081909cbf1cc7d5d0ac0a completed April 19, 2026, 10:24 p.m.
Created at: April 6, 2026, 12:26 p.m.