Triple

T22945723
Position Surface form Disambiguated ID Type / Status
Subject Mission Hills E569859 entity
Predicate borderedBy P224 FINISHED
Object Sylmar 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: Sylmar | Statement: [Mission Hills, borderedBy, Sylmar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylmar
Context triple: [Mission Hills, borderedBy, Sylmar]
  • A. Sylmar chosen
    Sylmar is a suburban neighborhood in the northern San Fernando Valley region of Los Angeles, known for its residential character and proximity to the San Gabriel Mountains.
  • B. Artesia
    Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
  • C. Artesia
    Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
  • D. Shafter
    Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
  • E. Shafter
    Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819d2d7881909e6390717ff79df0 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:45 p.m.