Triple

T4539254
Position Surface form Disambiguated ID Type / Status
Subject Sagehens E107486 entity
Predicate locatedIn P40 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: [Sagehens, locatedIn, Claremont, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claremont, California
Context triple: [Sagehens, 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 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57ba327c8190a7f12e14077b1fa7 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacfff41481908a5c97ab4fcb9259 completed March 20, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:04 p.m.