Triple

T11363056
Position Surface form Disambiguated ID Type / Status
Subject Cerritos E269132 entity
Predicate neighboringCity P988 FINISHED
Object Artesia E382193 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: Artesia | Statement: [Cerritos, neighboringCity, Artesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artesia
Context triple: [Cerritos, neighboringCity, Artesia]
  • A. Artesia chosen
    Artesia is a small suburban city in southeast Los Angeles County, California, known for its diverse community and the Little India commercial district along Pioneer Boulevard.
  • B. Artesia
    Artesia is a small city in southeastern New Mexico known for its oil and gas industry and agricultural roots.
  • C. Sylmar
    Sylmar is a suburban neighborhood in the northern San Fernando Valley region of Los Angeles, known for its residential character and proximity to the San Gabriel Mountains.
  • D. Barstow
    Barstow is a small city in Southern California known as a major transportation hub and gateway between Los Angeles, Las Vegas, and the Mojave Desert.
  • E. Barstow
    Barstow is a small town in Ward County, Texas, known for its rural character and historical roots in West Texas.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea442e5c8190babfde25540b27e9 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5565df5508190aeda7d064bceb157 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.