Triple

T22405872
Position Surface form Disambiguated ID Type / Status
Subject A Coruña Airport E553878 entity
Predicate partOf P40 FINISHED
Object Spanish airport network NE NERFINISHED

How this triple was built (3 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: Spanish airport network | Statement: [A Coruña Airport, partOf, Spanish airport network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish airport network
Context triple: [A Coruña Airport, partOf, Spanish airport network]
  • A. Canary Islands airport network
    The Canary Islands airport network is the integrated system of airports serving Spain’s Canary Islands, facilitating domestic and international air travel and tourism across the archipelago.
  • B. Iberia’s Latin American network
    Iberia’s Latin American network is the airline’s extensive set of routes linking Spain with major destinations across Latin America, centered on long-haul operations from Madrid.
  • C. European airport network
    The European airport network is a coordinated system of airports across Europe that facilitates regional and international air transport, connectivity, and logistics.
  • D. airport network of Portugal
    The airport network of Portugal is the nationwide system of commercial and regional airports that connects mainland Portugal, the Azores, and Madeira to each other and to international destinations.
  • E. Aena
    Aena is the Spanish state-owned company that manages and operates the majority of airports in Spain and is one of the world’s largest airport operators by passenger traffic.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spanish airport network
Target entity description: The Spanish airport network is the nationwide system of airports in Spain managed primarily by Aena, facilitating domestic and international air transport across the country and its territories.
  • A. Canary Islands airport network
    The Canary Islands airport network is the integrated system of airports serving Spain’s Canary Islands, facilitating domestic and international air travel and tourism across the archipelago.
  • B. Iberia’s Latin American network
    Iberia’s Latin American network is the airline’s extensive set of routes linking Spain with major destinations across Latin America, centered on long-haul operations from Madrid.
  • C. European airport network
    The European airport network is a coordinated system of airports across Europe that facilitates regional and international air transport, connectivity, and logistics.
  • D. airport network of Portugal
    The airport network of Portugal is the nationwide system of commercial and regional airports that connects mainland Portugal, the Azores, and Madeira to each other and to international destinations.
  • E. Aena
    Aena is the Spanish state-owned company that manages and operates the majority of airports in Spain and is one of the world’s largest airport operators by passenger traffic.
  • F. None of above. chosen

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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b835e88190a388e19577df771e completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.