Triple

T1609032
Position Surface form Disambiguated ID Type / Status
Subject Calama E34573 entity
Predicate hasAirport P105 FINISHED
Object El Loa Airport E110843 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: El Loa Airport | Statement: [Calama, hasAirport, El Loa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Loa Airport
Context triple: [Calama, hasAirport, 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. San Carlos Airport
    San Carlos Airport is a small public general aviation airport serving the city of San Carlos in San Mateo County, California.
  • 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. La Aurora International Airport
    La Aurora International Airport is the main international gateway to Guatemala, serving as the primary airport for Guatemala City and one of the busiest airports in Central America.
  • E. Olaya Herrera Airport
    Olaya Herrera Airport is a major domestic airport serving the city of Medellín in Colombia’s Antioquia Department.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9096e45408190b99e51df5b4a1cee completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ed8b7a08190a39f4b90fbf68cd9 completed March 9, 2026, 8:03 a.m.
Created at: March 4, 2026, 7:28 p.m.