Triple

T16139650
Position Surface form Disambiguated ID Type / Status
Subject Ala 31 E391618 entity
Predicate nativeLabel P657 FINISHED
Object Ala 31 E94592 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 31 | Statement: [Ala 31, nativeLabel, Ala 31]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ala 31
Context triple: [Ala 31, nativeLabel, Ala 31]
  • A. Ala 31 chosen
    Ala 31 is a transport wing of the Spanish Air Force, primarily responsible for strategic and tactical airlift missions.
  • B. Ala 35
    Ala 35 is a transport wing of the Spanish Air Force, primarily responsible for tactical and logistical airlift 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 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.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a07b7908190b4e1ec57f60a9274 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b75988819094baaff8f53f48ce completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.