Triple

T21458798
Position Surface form Disambiguated ID Type / Status
Subject CIC E529413 entity
Predicate represents P129 FINISHED
Object Chico Municipal Airport 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: Chico Municipal Airport | Statement: [CIC, represents, Chico Municipal Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chico Municipal Airport
Context triple: [CIC, represents, Chico Municipal Airport]
  • A. Chico Municipal Airport chosen
    Chico Municipal Airport is a public airport serving the city of Chico and the surrounding region in Butte County, California.
  • B. Merced Regional Airport
    Merced Regional Airport is a public airport in Merced, California, providing commercial and general aviation services to the surrounding region.
  • C. Clovis Municipal Airport
    Clovis Municipal Airport is a public airport serving the city of Clovis and surrounding areas in Curry County, New Mexico, providing general aviation and limited commercial services.
  • D. Santa Rosa Airport
    Santa Rosa Airport is a regional public airport serving the city of Santa Rosa in La Pampa Province, Argentina.
  • E. Madera Municipal Airport
    Madera Municipal Airport is a public general aviation airport serving the Madera County region in California, United States.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:08 p.m.