Triple

T21390704
Position Surface form Disambiguated ID Type / Status
Subject Richmond, New Hampshire E527639 entity
Predicate county P75 FINISHED
Object Cheshire County 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: Cheshire County | Statement: [Richmond, New Hampshire, county, Cheshire County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheshire County
Context triple: [Richmond, New Hampshire, county, Cheshire County]
  • A. Cheshire County chosen
    Cheshire County is a county in southwestern New Hampshire known for its historic towns, rural landscapes, and the city of Keene as its largest community and commercial center.
  • B. Cheshire
    Cheshire is a ceremonial and historic county in North West England known for its rural landscapes, affluent towns, and production of Cheshire cheese.
  • C. Cheshire
    Cheshire is a small rural town in Berkshire County, Massachusetts, known for its scenic setting in the Berkshire Hills and its historic New England character.
  • D. Cheshire
    Cheshire is a suburban town in New Haven County, Connecticut, known for its residential character, schools, and location along major regional routes.
  • E. Somerset County
    Somerset County is a suburban county in central New Jersey known for its residential communities, parks, and commuter access to the New York City metropolitan area.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b112a7808190ae4b180ce0d2b408 completed April 22, 2026, 11:29 a.m.
Created at: April 16, 2026, 5:13 p.m.