Triple

T22278464
Position Surface form Disambiguated ID Type / Status
Subject City of Valdivia E550667 entity
Predicate transport P230 FINISHED
Object Pichoy 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: Pichoy Airport | Statement: [City of Valdivia, transport, Pichoy Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pichoy Airport
Context triple: [City of Valdivia, transport, Pichoy Airport]
  • A. Pichoy Airport chosen
    Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
  • B. Evelio Javier Airport
    Evelio Javier Airport is a small domestic airport in Antique province, Philippines, serving as an air gateway to Panay Island.
  • C. Guayaramerín Airport
    Guayaramerín Airport is a public airport serving the town of Guayaramerín in the Beni Department of northeastern Bolivia, near the border with Brazil.
  • 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. Villamontes Airport
    Villamontes Airport is a public airport serving the town of Villamontes in Bolivia, providing regional air transport connections.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea96948819081c1ae6c7b11ab62 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.