Triple

T4752591
Position Surface form Disambiguated ID Type / Status
Subject Bangladesh Air Force E105511 entity
Predicate transportModel P36833 FINISHED
Object An-32 E140323 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-32 | Statement: [Bangladesh Air Force, transportModel, An-32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An-32
Context triple: [Bangladesh Air Force, transportModel, An-32]
  • A. Antonov An-32 chosen
    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.
  • B. FA-50
    The FA-50 is a South Korean light combat and trainer aircraft developed from the T-50 Golden Eagle, used for both advanced pilot training and multirole combat 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. Aero L-159 ALCA
    The Aero L-159 ALCA is a Czech-built light combat and advanced jet trainer aircraft designed for close air support, reconnaissance, and pilot training roles.
  • E. Antonov An-26
    The Antonov An-26 is a twin-engine Soviet-era turboprop transport aircraft widely used for military and cargo operations around the world.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e5fba88190b1f28d1b0eed3f8e completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a5ddf088190892d31275adb39ba completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.