Triple

T6784306
Position Surface form Disambiguated ID Type / Status
Subject Klimov RD-33 E155761 entity
Predicate usedOnAircraft P10706 FINISHED
Object Mikoyan 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: Mikoyan MiG-29UB | Statement: [Klimov RD-33, usedOnAircraft, Mikoyan MiG-29UB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikoyan MiG-29UB
Context triple: [Klimov RD-33, usedOnAircraft, Mikoyan MiG-29UB]
  • 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. 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.
  • C. 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.
  • 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. 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.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cbb542f08190bfea892ea90390b3 completed March 28, 2026, 12:38 p.m.
Created at: March 27, 2026, 2:14 p.m.