Triple

T4026951
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian Air Force E83613 entity
Predicate usesAircraftModel 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: [Ukrainian Air Force, usesAircraftModel, An-26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An-26
Context triple: [Ukrainian Air Force, usesAircraftModel, 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaed37e48190844032e7e77163e0 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556325c48819099d4cb5c2049d7e7 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.