Triple

T7389272
Position Surface form Disambiguated ID Type / Status
Subject East German Air Force E170458 entity
Predicate usedAircraft P1524 FINISHED
Object MiG-29UB E29099 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: MiG-29UB | Statement: [East German Air Force, usedAircraft, MiG-29UB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MiG-29UB
Context triple: [East German Air Force, usedAircraft, MiG-29UB]
  • A. 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.
  • B. MiG-29 chosen
    The MiG-29 is a Soviet-designed twin-engine multirole fighter aircraft known for its high maneuverability and widespread use by various air forces around the world.
  • C. MiG-35
    The MiG-35 is a Russian multirole fighter aircraft developed by Mikoyan as an advanced, modernized evolution of the MiG-29 with improved avionics, weapons systems, and combat capabilities.
  • D. Sukhoi Su-25
    The Sukhoi Su-25 is a Soviet-era, twin-engine, subsonic close air support aircraft designed for attacking ground targets in frontline combat.
  • E. 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.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f512d881908056bdb88a58bea4 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810ed3a00819088c6eee3d8b8a7e9 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:09 p.m.