Triple

T14067033
Position Surface form Disambiguated ID Type / Status
Subject Woodland Hills, Los Angeles E338501 entity
Predicate borderedBy P224 FINISHED
Object Tarzana E317979 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: Tarzana | Statement: [Woodland Hills, Los Angeles, borderedBy, Tarzana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarzana
Context triple: [Woodland Hills, Los Angeles, borderedBy, Tarzana]
  • A. Tarzana chosen
    Tarzana is a residential neighborhood in the San Fernando Valley region of Los Angeles, California, named after the fictional character Tarzan and known for its suburban character and proximity to the Santa Monica Mountains.
  • B. La Crescenta
    La Crescenta is an unincorporated suburban community in Los Angeles County, California, nestled in the Crescenta Valley at the foothills of the San Gabriel Mountains.
  • C. Glendale
    Glendale is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • D. Glendale
    Glendale is a city in Arizona known for hosting major sporting and entertainment events, including NFL games and the Super Bowl.
  • E. Glendale
    Glendale is a city in Los Angeles County, California, known for its diverse communities, shopping districts like the Americana at Brand, and proximity to both urban Los Angeles and the Verdugo Mountains.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d027450819098f4f9be71451ec5 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 10:21 p.m.