Triple

T8386833
Position Surface form Disambiguated ID Type / Status
Subject Cuban Air Force E197836 entity
Predicate usedAircraft P1524 FINISHED
Object An-26 E342121 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: An-26 | Statement: [Cuban Air Force, usedAircraft, An-26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: An-26
Context triple: [Cuban Air Force, usedAircraft, An-26]
  • A. Antonov An-26 chosen
    The Antonov An-26 is a twin-engine Soviet-era turboprop transport aircraft widely used for military and cargo operations around the world.
  • B. Antonov An-12
    The Antonov An-12 is a Soviet-era four-engine turboprop military transport aircraft widely used for cargo and troop transport by numerous air forces and civilian operators around the world.
  • C. Antonov An-72
    The Antonov An-72 is a Soviet-designed short takeoff and landing (STOL) transport aircraft known for its distinctive overwing engine configuration and use in both military and civilian roles.
  • D. Antonov An-32
    The Antonov An-32 is a twin-engine turboprop military transport aircraft designed for hot-and-high operations, widely used for tactical airlift and cargo missions.
  • E. Antonov An-10
    The Antonov An-10 is a Soviet-era four-engine turboprop airliner that was also adapted for military transport roles.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81076eac8190893813628cacc1aa completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde83aac448190b74f65507170a8f7 completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.