Triple

T16628198
Position Surface form Disambiguated ID Type / Status
Subject Interstate 605 E404005 entity
Predicate regionServed P82 FINISHED
Object Orange County E26134 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: Orange County | Statement: [Interstate 605, regionServed, Orange County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange County
Context triple: [Interstate 605, regionServed, Orange County]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Orange County, California chosen
    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.

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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e399988190904e56eb3c490eed completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2d802881909abd846cc54f04fc completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:17 a.m.