Triple

T23397051
Position Surface form Disambiguated ID Type / Status
Subject Claremont Helen Renwick Library E559387 entity
Predicate serves P98 FINISHED
Object city of 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: city of Claremont, California | Statement: [Claremont Helen Renwick Library, serves, city of Claremont, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Claremont, California
Context triple: [Claremont Helen Renwick Library, serves, city of 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 CBD
    Claremont CBD is a major commercial and retail hub in Cape Town’s Southern Suburbs, known for its shopping centers, offices, and transport links.
  • C. Claremont
    Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • D. Claremont
    Claremont is a historic country house and estate in Surrey, England, known for its landscaped gardens and royal connections.
  • E. Claremont
    Claremont is a residential neighborhood in the Bronx, New York City, known for its dense urban character and proximity to major subway lines.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dc48008190bdcf92f8d9a5232d completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.