Triple

T8101106
Position Surface form Disambiguated ID Type / Status
Subject Vigo E189114 entity
Predicate hasAirport P105 FINISHED
Object Vigo–Peinador Airport E581229 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: Vigo–Peinador Airport | Statement: [Vigo, hasAirport, Vigo–Peinador Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vigo–Peinador Airport
Context triple: [Vigo, hasAirport, Vigo–Peinador Airport]
  • A. Vigo Airport chosen
    Vigo Airport is a regional Spanish airport in Galicia that serves the city of Vigo and surrounding areas with domestic and limited international flights.
  • B. Santiago–Rosalía de Castro Airport
    Santiago–Rosalía de Castro Airport is the main international airport serving the city of Santiago de Compostela and the surrounding Galicia region in northwestern Spain.
  • C. Asturias Airport
    Asturias Airport is a regional international airport in northern Spain serving the Asturias region with domestic and limited international flights.
  • D. Logroño–Agoncillo Airport
    Logroño–Agoncillo Airport is a small regional airport in Spain serving the city of Logroño and the surrounding La Rioja region with domestic flights.
  • E. A Coruña Airport
    A Coruña Airport is a regional airport in northwestern Spain serving the city of A Coruña and the surrounding Galicia area with domestic and limited international flights.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bbf20c8190aa8c272b5c39002d completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc641d96e88190adee974b79d5fc05 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:31 p.m.