Triple

T21713225
Position Surface form Disambiguated ID Type / Status
Subject Santa Rosa, La Pampa E535956 entity
Predicate hasTransport P1298 FINISHED
Object Santa Rosa 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: Santa Rosa Airport | Statement: [Santa Rosa, La Pampa, hasTransport, Santa Rosa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Rosa Airport
Context triple: [Santa Rosa, La Pampa, hasTransport, Santa Rosa Airport]
  • A. Santa Rosa Airport chosen
    Santa Rosa Airport is a regional public airport serving the city of Santa Rosa in La Pampa Province, Argentina.
  • B. Santa Rosa Municipal Airport
    Santa Rosa Municipal Airport is a public-use airport serving the city of Santa Rosa in Guadalupe County, New Mexico, primarily accommodating general aviation traffic.
  • C. San Rafael Airport
    San Rafael Airport is a regional public airport serving the city of San Rafael in Mendoza Province, Argentina.
  • D. Sonoma County Airport
    Sonoma County Airport is a regional public airport in Northern California serving Santa Rosa and the surrounding Sonoma County area with commercial and general aviation services.
  • E. Monterey Regional Airport
    Monterey Regional Airport is a public airport on California’s central coast that provides commercial air service to the Monterey Bay area and surrounding 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb53573a08190ad73576d27e8094f completed April 27, 2026, 7:12 p.m.
Created at: April 16, 2026, 6:47 p.m.