Triple

T4888667
Position Surface form Disambiguated ID Type / Status
Subject San Diego metropolitan area E109503 entity
Predicate hasCity P316 FINISHED
Object Poway E148167 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: Poway | Statement: [San Diego metropolitan area, hasCity, Poway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poway
Context triple: [San Diego metropolitan area, hasCity, Poway]
  • A. Poway chosen
    Poway is a suburban city in Southern California known for its residential communities, parks, and location inland from the San Diego coast.
  • B. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • C. Pooncarie
    Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
  • D. Pawley
    Pawley is a surname and variant spelling of Pauley, borne by various individuals and families.
  • E. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e053db8819087828e753c78d341 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681704f08190938aec498d7d4662 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:28 p.m.