Triple

T20832056
Position Surface form Disambiguated ID Type / Status
Subject IrAero E512852 entity
Predicate fleetType P6198 FINISHED
Object Antonov An-26 — 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: Antonov An-26 | Statement: [IrAero, fleetType, Antonov An-26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antonov An-26
Context triple: [IrAero, fleetType, Antonov 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-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.
  • 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-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.
  • E. Antonov An-2
    The Antonov An-2 is a rugged Soviet-era single-engine biplane renowned for its short takeoff and landing capabilities and widespread use in both civilian and military roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3224e788190bfc4d3dcbaa674a7 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.