Triple

T20484099
Position Surface form Disambiguated ID Type / Status
Subject 91/PV Line E502539 entity
Predicate regionServed P82 FINISHED
Object Orange County 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: Orange County | Statement: [91/PV Line, regionServed, Orange County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange County
Context triple: [91/PV Line, regionServed, Orange County]
  • A. 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.
  • B. Orange County
    Orange County is a central Florida county best known for encompassing the city of Orlando and major attractions like Walt Disney World and Universal Orlando Resort.
  • C. Orange County
    Orange County is a county in southeastern New York State, known for its mix of suburban communities, historic sites, and rural landscapes within the Hudson Valley region.
  • 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. Los Angeles County
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b59ae2c8190bfa26a3f1e59b8d1 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.