Triple

T13514529
Position Surface form Disambiguated ID Type / Status
Subject Valentin Glushko E322724 entity
Predicate employer P7 FINISHED
Object Energia design bureau E1033128 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: Energia design bureau | Statement: [Valentin Glushko, employer, Energia design bureau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Energia design bureau
Context triple: [Valentin Glushko, employer, Energia design bureau]
  • A. Energia design bureau chosen
    Energia design bureau is a leading Soviet and Russian aerospace and rocket engineering organization best known for developing spacecraft and launch vehicles, including those for the Soyuz and Mir programs.
  • B. Energodar
    Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
  • C. Utva design bureau
    Utva design bureau is a Serbian aircraft design organization known for developing light training and utility aircraft.
  • D. Energetica
    Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
  • E. Mikulin Design Bureau
    Mikulin Design Bureau was a Soviet aircraft engine design organization known for developing powerful turbojet and piston engines for military and civilian aviation.
  • 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.