Triple

T8968623
Position Surface form Disambiguated ID Type / Status
Subject Province of Copiapó E214204 entity
Predicate transportInfrastructure P1777 FINISHED
Object Copiapó Airport E255732 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: Copiapó Airport | Statement: [Province of Copiapó, transportInfrastructure, Copiapó Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copiapó Airport
Context triple: [Province of Copiapó, transportInfrastructure, Copiapó Airport]
  • A. Copiapó Airport chosen
    Copiapó Airport is a regional airport serving the city of Copiapó and the surrounding Atacama Region in northern Chile.
  • B. Benito Salas Airport
    Benito Salas Airport is a regional public airport serving the city of Neiva in the Huila Department of Colombia.
  • C. 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.
  • D. Hermanos Serdán International Airport
    Hermanos Serdán International Airport is a commercial and cargo airport serving the city of Puebla and the surrounding region in central Mexico.
  • E. Chacalluta International Airport
    Chacalluta International Airport is the main commercial airport serving the city of Arica in northern Chile, near the border with Peru.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6764aca48190a5e472d1b6841886 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a753f8819084b952f20997c8d6 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:01 p.m.