Triple

T6289037
Position Surface form Disambiguated ID Type / Status
Subject Talca E140968 entity
Predicate hasAirport P105 FINISHED
Object Panguilemo Airport E102397 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: Panguilemo Airport | Statement: [Talca, hasAirport, Panguilemo Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panguilemo Airport
Context triple: [Talca, hasAirport, Panguilemo Airport]
  • A. Panguilemo Airport chosen
    Panguilemo Airport is a regional public airport serving the city of Talca and the surrounding Maule Region in central Chile.
  • B. Pichoy Airport
    Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
  • C. Evelio Javier Airport
    Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
  • D. Vilo Acuña Airport
    Vilo Acuña Airport is the main airport serving the resort island of Cayo Largo del Sur in Cuba, handling domestic and international tourist flights.
  • E. Barra Airport
    Barra Airport is a unique Scottish airport on the island of Barra, famous for its tidal beach runway where scheduled flights land directly on the sand.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0641a6ecc8190a63be0e3f0344a3f completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d25ff1081908d07c649555f17c4 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:26 p.m.