Triple

T19689313
Position Surface form Disambiguated ID Type / Status
Subject Claremont Colleges Library E472792 entity
Predicate locatedIn P40 FINISHED
Object Claremont, California 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: Claremont, California | Statement: [Claremont Colleges Library, locatedIn, Claremont, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claremont, California
Context triple: [Claremont Colleges Library, locatedIn, Claremont, California]
  • A. Claremont, California chosen
    Claremont, California is a suburban city in eastern Los Angeles County known for its consortium of prestigious colleges, tree-lined streets, and vibrant academic community.
  • B. Claremont
    Claremont is a historic country house and estate in Surrey, England, known for its landscaped gardens and royal connections.
  • C. Claremont
    Claremont is a residential neighborhood in the Bronx, New York City, known for its dense urban character and proximity to major subway lines.
  • D. Claremont
    Claremont is a small town located in the rural interior of Saint Ann Parish on Jamaica’s north coast.
  • E. Claremont
    Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420e5b788190a63ff6b83383b0e8 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:45 p.m.