Triple

T18086966
Position Surface form Disambiguated ID Type / Status
Subject Canal Bajo Carlos Hott Siebert Airport E432859 entity
Predicate alternativeName P39 FINISHED
Object Osorno 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: Osorno Airport | Statement: [Canal Bajo Carlos Hott Siebert Airport, alternativeName, Osorno Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osorno Airport
Context triple: [Canal Bajo Carlos Hott Siebert Airport, alternativeName, Osorno Airport]
  • A. Osorno Airport chosen
    Osorno Airport is a regional airport serving the city of Osorno in southern Chile’s Los Lagos Region, providing domestic air connections for the surrounding area.
  • B. Benito Salas Airport
    Benito Salas Airport is a regional public airport serving the city of Neiva in the Huila Department of Colombia.
  • C. Pichoy Airport
    Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
  • D. Albano Machado Airport
    Albano Machado Airport is the main public airport serving the city of Huambo in central Angola.
  • E. 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.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd150ab88190864be2a722d214b8 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.