Triple

T15015174
Position Surface form Disambiguated ID Type / Status
Subject Line 950 E377939 entity
Predicate serviceArea P82 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: [Line 950, serviceArea, Los Angeles County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Angeles County
Context triple: [Line 950, serviceArea, 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968a17188190bced83ed1006e020 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.