Triple

T23434014
Position Surface form Disambiguated ID Type / Status
Subject Silverado Canyon E563406 entity
Predicate governingBody P46 FINISHED
Object County of Orange 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: County of Orange | Statement: [Silverado Canyon, governingBody, County of Orange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County of Orange
Context triple: [Silverado Canyon, governingBody, County of Orange]
  • A. County of Orange chosen
    The County of Orange is a local government jurisdiction in Southern California that administers numerous public services and facilities for its residents.
  • B. County of Nassau-Orange
    The County of Nassau-Orange was a small early modern German territory ruled by a branch of the House of Nassau that later evolved into the Principality of Nassau-Orange-Fulda.
  • C. Union County
    Union County is a suburban county in North Carolina that forms part of the greater Charlotte metropolitan area.
  • D. Union County
    Union County is a county in northern Georgia known for its mountainous terrain, outdoor recreation areas, and historic ties to the region’s gold-mining heritage.
  • E. Union County
    Union County is a rural county in northern South Carolina known for its historic textile mill heritage and small-town communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d9f0d48190903f43d044bcf2dd completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.