Triple

T1361113
Position Surface form Disambiguated ID Type / Status
Subject MiG-29 E29099 entity
Predicate hasVariant P455 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: [MiG-29, hasVariant, MiG-29UB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MiG-29UB
Context triple: [MiG-29, hasVariant, 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. 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.
  • C. Panavia Tornado GR4
    The Panavia Tornado GR4 is a British multirole combat aircraft variant known for its precision strike, reconnaissance, and close air support capabilities in modern conflicts.
  • D. Su-22
    The Su-22 is a Soviet-designed variable-sweep wing fighter-bomber widely exported and used for ground-attack missions by several air forces, including Poland’s.
  • E. Alpha Jet
    The Alpha Jet is a light attack and advanced jet trainer aircraft developed jointly by France and Germany in the 1970s and widely used for pilot training and tactical support roles.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b2fb448190bef31375169b4666 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47d38388190856b4ae9de1e69d7 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:56 p.m.