Triple

T23014247
Position Surface form Disambiguated ID Type / Status
Subject Bel Air, Los Angeles E572987 entity
Predicate hasSubdivision P747 FINISHED
Object Upper Bel Air 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: Upper Bel Air | Statement: [Bel Air, Los Angeles, hasSubdivision, Upper Bel Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Bel Air
Context triple: [Bel Air, Los Angeles, hasSubdivision, Upper Bel Air]
  • A. Upper Bel Air chosen
    Upper Bel Air is an affluent residential neighborhood forming the higher-elevation portion of the exclusive Bel Air community in Los Angeles.
  • B. Highland Heights
    Highland Heights is a suburban city located in northeastern Ohio, United States, known for its residential neighborhoods and proximity to Cleveland.
  • C. East Highland
    East Highland is the fictional suburban California town that serves as the primary setting of the television series "Euphoria."
  • D. Upper Fort
    Upper Fort is the elevated hilltop section of Bellary Fort in Karnataka, India, known for its defensive ramparts and panoramic views of the surrounding region.
  • E. Beaver Hills
    Beaver Hills is a region of rolling, forested terrain in central Alberta, Canada, known for its rich wildlife habitat and protected natural areas.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.