Triple

T15852600
Position Surface form Disambiguated ID Type / Status
Subject Sudanese Air Force E384376 entity
Predicate notableAircraft P1524 FINISHED
Object MiG-29 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-29 | Statement: [Sudanese Air Force, notableAircraft, MiG-29]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MiG-29
Context triple: [Sudanese Air Force, notableAircraft, MiG-29]
  • A. 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.
  • B. Sukhoi Su-27
    The Sukhoi Su-27 is a Soviet-era twin-engine air superiority fighter aircraft renowned for its agility, long-range capability, and role as the basis for numerous advanced Russian fighter variants.
  • C. MiG-31
    The MiG-31 is a long-range, high-speed Soviet/Russian interceptor aircraft designed to engage airborne targets at high altitudes and in all weather conditions.
  • D. Sukhoi Su-29
    The Sukhoi Su-29 is a Russian two-seat aerobatic training aircraft derived from the Su-26, widely used for advanced pilot instruction and competitive aerobatics.
  • E. MiG-27
    The MiG-27 is a Soviet-era, variable-sweep wing ground-attack aircraft derived from the MiG-23 and optimized for low-level strike 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14caddd2c8190859b2926b0e1ad35 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa147bce481909fb6f6ef2793a5a8 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.