Triple

T11138091
Position Surface form Disambiguated ID Type / Status
Subject Santa Clara, Cuba E263465 entity
Predicate hasAirport P105 FINISHED
Object Abel Santamaría Airport E180151 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: Abel Santamaría Airport | Statement: [Santa Clara, Cuba, hasAirport, Abel Santamaría Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abel Santamaría Airport
Context triple: [Santa Clara, Cuba, hasAirport, Abel Santamaría Airport]
  • A. Abel Santamaría Airport chosen
    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.
  • B. Benito Salas Airport
    Benito Salas Airport is a regional public airport serving the city of Neiva in the Huila Department of Colombia.
  • C. Antonio Roldán Betancourt Airport
    Antonio Roldán Betancourt Airport is a regional airport in Colombia that serves the town of Apartadó and the surrounding Urabá region.
  • D. 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.
  • E. Amado Nervo National Airport
    Amado Nervo National Airport is a regional commercial airport serving the city of Tepic in the Mexican state of Nayarit.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85f2ea48190bf1ff63af1d7d236 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509cd971c8190bdaa7b3c8a1f32f2 completed April 19, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:28 p.m.