Triple

T20219023
Position Surface form Disambiguated ID Type / Status
Subject Sukhoi Su-30SM E495200 entity
Predicate engineModel P2092 FINISHED
Object Saturn AL-31FP NE NERFINISHED

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: Saturn AL-31FP | Statement: [Sukhoi Su-30SM, engineModel, Saturn AL-31FP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saturn AL-31FP
Context triple: [Sukhoi Su-30SM, engineModel, Saturn AL-31FP]
  • A. Saturn AL-31F chosen
    The Saturn AL-31F is a Russian afterburning turbofan jet engine widely used to power modern Sukhoi fighter aircraft.
  • B. Lyulka AL-31F
    The Lyulka AL-31F is a Soviet/Russian afterburning turbofan jet engine best known for powering the Sukhoi Su-27 family of fighter aircraft and their derivatives.
  • C. Kuznetsov NK-32 turbofan engine
    The Kuznetsov NK-32 is a powerful afterburning turbofan jet engine developed in the Soviet Union, best known for propelling the Tu-160 strategic bomber at supersonic speeds.
  • D. Kuznetsov NK-144 turbofan engine
    The Kuznetsov NK-144 is a low-bypass afterburning turbofan engine developed in the Soviet Union to power the Tu-144 supersonic transport airliner.
  • E. Kuznetsov NK-86
    The Kuznetsov NK-86 is a Soviet low-bypass turbofan jet engine developed in the 1970s to power wide-body airliners.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edbb67081909c7359ff27205b5f completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.