Triple

T13514528
Position Surface form Disambiguated ID Type / Status
Subject Valentin Glushko E322724 entity
Predicate employer P7 FINISHED
Object NPO Energomash E273644 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: NPO Energomash | Statement: [Valentin Glushko, employer, NPO Energomash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NPO Energomash
Context triple: [Valentin Glushko, employer, NPO Energomash]
  • A. NPO Energomash chosen
    NPO Energomash is a leading Russian rocket engine design and manufacturing company renowned for producing powerful liquid-fueled engines used in launch vehicles worldwide.
  • B. Rostec
    Rostec is a Russian state-owned conglomerate that unites numerous defense, aviation, and high-tech enterprises under government control.
  • C. Transmashholding
    Transmashholding is a major Russian engineering company and one of the country’s largest manufacturers of railway and urban rail rolling stock.
  • D. Izhevsk Mechanical Plant
    Izhevsk Mechanical Plant is a major Russian arms manufacturer known for producing a wide range of firearms and military equipment.
  • E. Klimov Design Bureau
    Klimov Design Bureau is a Russian aerospace engineering company best known for designing and producing military aircraft engines, including those used in MiG fighter jets.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75494642881909f33962afe26f427 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.