Triple

T13946032
Position Surface form Disambiguated ID Type / Status
Subject GSh-30-2 E335386 entity
Predicate usedOnAircraft P10706 FINISHED
Object Su-22M4 E29661 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: Su-22M4 | Statement: [GSh-30-2, usedOnAircraft, Su-22M4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Su-22M4
Context triple: [GSh-30-2, usedOnAircraft, Su-22M4]
  • A. Su-22 chosen
    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.
  • B. Su-39
    The Su-39 is a modernized Russian close air support and anti-tank aircraft developed from the Su-25, featuring enhanced avionics and weapon systems for improved battlefield effectiveness.
  • C. Sukhoi Su-26
    The Sukhoi Su-26 is a Soviet/Russian single-seat aerobatic aircraft renowned for its exceptional maneuverability and success in international aerobatic competitions.
  • D. Sukhoi Su‑34
    The Sukhoi Su‑34 is a Russian twin-engine, twin-seat fighter-bomber designed for long-range precision strike missions with advanced avionics and all-weather capability.
  • E. Sukhoi Su-31
    The Sukhoi Su-31 is a Russian single-seat aerobatic aircraft renowned for its high maneuverability and use in advanced competition flying.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e10f60c81908ee9636e85c070ff completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9db6187c8190969b035bc2813413 completed May 9, 2026, 2:36 a.m.
Created at: April 9, 2026, 10:17 p.m.