Triple

T20660667
Position Surface form Disambiguated ID Type / Status
Subject Ralph Waldo Trine E507750 entity
Predicate placeOfDeath P21 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: [Ralph Waldo Trine, placeOfDeath, Claremont, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claremont, California
Context triple: [Ralph Waldo Trine, placeOfDeath, 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 small town located in the rural interior of Saint Ann Parish on Jamaica’s north coast.
  • D. Claremont
    Claremont is a suburb of Hobart in Tasmania, Australia, known for its residential character and proximity to the Derwent River.
  • E. Claremont
    Claremont is a historic country house and estate in Surrey, England, known for its landscaped gardens and royal connections.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f16adc8190b2b9a69586fa7444 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.