Triple

T21999606
Position Surface form Disambiguated ID Type / Status
Subject Operation Safed Sagar E543289 entity
Predicate aircraftUsed P1524 FINISHED
Object An-32 — 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: An-32 | Statement: [Operation Safed Sagar, aircraftUsed, An-32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: An-32
Context triple: [Operation Safed Sagar, aircraftUsed, 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. An-24
    The An-24 is a twin-turboprop Soviet-built regional airliner and utility transport aircraft widely used for passenger, cargo, and military operations.
  • D. 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.
  • E. 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.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127699a7881908a80b6e9e33fcc0b completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:19 p.m.