Triple

T4213381
Position Surface form Disambiguated ID Type / Status
Subject Albacete Air Base E93956 entity
Predicate basedUnit P25188 FINISHED
Object Ala 14 E92682 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: Ala 14 | Statement: [Albacete Air Base, basedUnit, Ala 14]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ala 14
Context triple: [Albacete Air Base, basedUnit, Ala 14]
  • A. Ala 14 chosen
    Ala 14 is a fighter wing of the Spanish Air Force known for operating advanced combat aircraft in air defense and tactical missions.
  • B. Ala 15
    Ala 15 is a fighter wing of the Spanish Air Force known for operating modern combat aircraft and conducting air defense and tactical missions.
  • C. Ala 11
    Ala 11 is a fighter wing of the Spanish Air Force known for operating modern combat aircraft and contributing to Spain’s air defense and tactical operations.
  • D. Ala 12
    Ala 12 is a fighter wing of the Spanish Air Force known for operating modern combat aircraft and participating in national and international air defense missions.
  • E. Ala 31
    Ala 31 is a transport wing of the Spanish Air Force, primarily responsible for strategic and tactical airlift missions.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be700908190a8cf5e3a27dad5bf completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b59634e52c81908cb967f124a96950 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.