Triple

T22649310
Position Surface form Disambiguated ID Type / Status
Subject Taco Bell E559052 entity
Predicate headquartersLocation P62 FINISHED
Object Irvine, California 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: Irvine, California | Statement: [Taco Bell, headquartersLocation, Irvine, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irvine, California
Context triple: [Taco Bell, headquartersLocation, Irvine, California]
  • A. Irvine chosen
    Irvine is a master-planned city in Orange County, California, known for its affluent residential communities, strong public schools, and concentration of technology and education industries.
  • B. Irvine
    Irvine is a coastal town in North Ayrshire, Scotland, known historically as a royal burgh and port on the Firth of Clyde.
  • C. Irvine
    Irvine is a small hamlet in southeastern Alberta, Canada, situated along the Trans-Canada Highway east of Medicine Hat.
  • D. Mission Viejo, California
    Mission Viejo, California is a master-planned suburban city in southern Orange County known for its residential communities, lake, and family-oriented environment.
  • E. Aliso Viejo, California
    Aliso Viejo, California is a master-planned suburban city in southern Orange County known for its residential communities, business parks, and proximity to coastal areas.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703a84b081909a683f8c850dcbf9 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.