Triple

T13260912
Position Surface form Disambiguated ID Type / Status
Subject Koreatown E315789 entity
Predicate locatedIn P40 FINISHED
Object Los Angeles County E23731 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: Los Angeles County | Statement: [Koreatown, locatedIn, Los Angeles County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Angeles County
Context triple: [Koreatown, locatedIn, Los Angeles County]
  • A. Los Angeles County chosen
    Los Angeles County is the most populous county in the United States, encompassing the city of Los Angeles and numerous other municipalities across Southern California.
  • B. Riverside County
    Riverside County is a large, populous county in inland Southern California known for its desert landscapes, fast-growing suburban communities, and cities such as Riverside and Palm Springs.
  • C. San Diego County
    San Diego County is a large coastal county in Southern California known for the city of San Diego, its beaches, military presence, and proximity to the Mexican border.
  • D. Orange County, California
    Orange County, California is a populous coastal county in Southern California known for its affluent suburbs, beaches, and attractions like Disneyland.
  • E. Orange County
    Orange County is a county in North Carolina that includes the university town of Chapel Hill and forms part of the state’s Research Triangle region.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7305c5f8081908bbe19f2a644acc5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:25 p.m.