Triple

T6281152
Position Surface form Disambiguated ID Type / Status
Subject LEMD E140783 entity
Predicate partOfNationalAviationSystem P57717 FINISHED
Object Spanish airport network E140786 NE FINISHED

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: [LEMD, partOfNationalAviationSystem, Spanish airport network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish airport network
Context triple: [LEMD, partOfNationalAviationSystem, Spanish airport network]
  • A. 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.
  • B. Aena chosen
    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.
  • C. Seville Airport
    Seville Airport is a major international and military aviation hub in southern Spain that serves the city of Seville and hosts significant aircraft manufacturing and testing activities.
  • D. Zaragoza Airport
    Zaragoza Airport is an international airport in northeastern Spain that serves the city of Zaragoza and functions as both a civilian and important military and cargo hub.
  • E. Badajoz Airport
    Badajoz Airport is a regional Spanish airport serving the autonomous community of Extremadura with domestic commercial flights and military operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfNationalAviationSystem
Context triple: [LEMD, partOfNationalAviationSystem, Spanish airport network]
  • A. FAAcode
    Indicates that an entity (such as an airport or facility) is associated with a specific identifying code assigned by the Federal Aviation Administration (FAA).
  • B. isPartOfAviationSystem chosen
    Indicates that something functions as a component or subsystem within a broader aviation system or infrastructure.
  • C. partOfLandingSector
    Indicates that one entity constitutes a component or subdivision within a larger landing sector.
  • D. appliesToAirspaceOf
    Indicates that a rule, restriction, or condition is specifically relevant to, or in effect within, a particular airspace.
  • E. isCivilAirport
    Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
  • F. None of above.

Provenance (4 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_69c063dee62881908347283f16dcbe68 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51962132881909a2eccd1203e03c1 completed March 26, 2026, 11:32 a.m.
PD Predicate disambiguation batch_69c05608a5608190b22a1fdc4060470d completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:26 p.m.