Triple

T19262328
Position Surface form Disambiguated ID Type / Status
Subject SCCF E481678 entity
Predicate identifies P310 FINISHED
Object El Loa 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: El Loa Airport | Statement: [SCCF, identifies, El Loa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Loa Airport
Context triple: [SCCF, identifies, El Loa Airport]
  • A. El Loa Airport chosen
    El Loa Airport is a commercial airport in Calama, Chile, serving as the main air gateway to the Atacama Desert region and nearby tourist destinations such as San Pedro de Atacama.
  • B. La Paloma Airport
    La Paloma Airport is a small regional airport serving Ometepe Island in Lake Nicaragua, providing air access to this volcanic tourist destination.
  • C. Juan Mendoza Airport
    Juan Mendoza Airport is a regional public airport serving the city of Oruro in Bolivia, providing domestic air connections for passengers and cargo.
  • D. San Carlos Airport
    San Carlos Airport is a small public general aviation airport serving the city of San Carlos in San Mateo County, California.
  • E. Abel Santamaría Airport
    Abel Santamaría Airport is an international airport in Santa Clara, Cuba, serving as a key gateway for tourists visiting the central region and nearby resort 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8a022c8190b313e9d11d38e482 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:28 p.m.