Triple

T3653820
Position Surface form Disambiguated ID Type / Status
Subject Gateway Cities E77482 entity
Predicate hasCity P316 FINISHED
Object Downey E148122 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: Downey | Statement: [Gateway Cities, hasCity, Downey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downey
Context triple: [Gateway Cities, hasCity, Downey]
  • A. Downey
    Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
  • B. Downey chosen
    Downey is a suburban city in southeastern Los Angeles County, California, known historically for its aerospace industry and as the birthplace of the Apollo space program.
  • C. Norwood
    Norwood is the surname of American singer, songwriter, and actress Brandy, known for her influential R&B music career and roles in film and television.
  • D. Norwood
    Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
  • E. Avondale
    Avondale is a well-known residential and commercial suburb of Harare, Zimbabwe, noted for its shopping centers and relatively affluent character.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b9164c81908938a4338430d193 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4883bb50c8190bd383b21ac748a2e completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.