Triple

T5011496
Position Surface form Disambiguated ID Type / Status
Subject Gabrielle Starr E112630 entity
Predicate residence P75 FINISHED
Object Claremont, California E132792 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: Claremont, California | Statement: [Gabrielle Starr, residence, Claremont, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claremont, California
Context triple: [Gabrielle Starr, residence, 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 residential neighbourhood within the city of Pickering in Ontario, Canada.
  • C. Claremont
    Claremont is a suburb of Hobart in Tasmania, Australia, known for its residential character and proximity to the Derwent River.
  • D. Claremont Village
    Claremont Village is a residential neighborhood in the South Bronx of New York City known for its dense housing developments and proximity to Crotona Park.
  • E. La Verne, California
    La Verne, California is a suburban city in Los Angeles County known for its residential character and as the home of the University of La Verne.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730d70ac8190a1818d628e95ab04 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c5b09688190a0bc602396042e3f completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:35 p.m.