Triple

T3653838
Position Surface form Disambiguated ID Type / Status
Subject Gateway Cities E77482 entity
Predicate hasCity P316 FINISHED
Object Montebello E269133 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: Montebello | Statement: [Gateway Cities, hasCity, Montebello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montebello
Context triple: [Gateway Cities, hasCity, Montebello]
  • A. Montebello chosen
    Montebello is a suburban city in Los Angeles County, California, known for its residential communities, commercial centers, and proximity to downtown Los Angeles.
  • B. Marble Hill
    Marble Hill is a small New York City neighborhood that, while politically part of Manhattan, is physically attached to the Bronx on the mainland.
  • C. Murray Hill
    Murray Hill is a residential neighborhood on Manhattan’s East Side in New York City, known for its historic brownstones, proximity to Midtown, and mix of young professionals and long-time residents.
  • D. Colma
    Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
  • E. Welhaven
    Welhaven is a Norwegian surname most notably associated with the 19th-century poet and critic Johan Sebastian Welhaven.
  • 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.