Triple

T24814757
Position Surface form Disambiguated ID Type / Status
Subject Albacete Airport E620887 entity
Predicate hasMilitaryOperator P55335 FINISHED
Object Spanish Air and Space Force 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: Spanish Air and Space Force | Statement: [Albacete Airport, hasMilitaryOperator, Spanish Air and Space Force]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMilitaryOperator
Context triple: [Albacete Airport, hasMilitaryOperator, Spanish Air and Space Force]
  • A. hasMilitaryOperators chosen
    Indicates that a military force or organization operates, controls, or makes active use of the referenced asset, system, or equipment.
  • B. hasMilitaryType
    Indicates that an entity is associated with or classified under a specific military category, role, or type.
  • C. hasMilitaryAssociation
    Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
  • D. hasMilitaryAuthority
    Indicates that one entity possesses formal power or command to direct, control, or make decisions over the military activities or forces of another entity.
  • E. isMilitaryCommand
    Indicates that one entity holds formal military authority or command over another entity or group.
  • F. None of above.

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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 5:02 a.m.