Triple

T36514437
Position Surface form Disambiguated ID Type / Status
Subject Soyuz 3 E899997 entity
Predicate designerBureau P25389 FINISHED
Object Sergei Korolev Design Bureau 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: Sergei Korolev Design Bureau | Statement: [Soyuz 3, designerBureau, Sergei Korolev Design Bureau]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designerBureau
Context triple: [Soyuz 3, designerBureau, Sergei Korolev Design Bureau]
  • A. designBureau chosen
    Indicates that an entity functions as a design bureau responsible for planning, developing, or engineering designs for another entity or project.
  • B. designBureauNamedAfter
    Indicates that a design bureau is named in honor of or after a particular person, organization, or entity.
  • C. designerAlias
    Indicates that one name or label is used as an alternative alias for a designer.
  • D. designerType
    Indicates the specific kind or category of designer role associated with an entity.
  • E. designerEmployer
    Indicates that one entity is the employer or employing organization of a designer in relation to a design activity or role.
  • F. None of above.

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_69f76e5dada881909da2d34bc7a9202a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff48199b1c8190bb05872f8a4f4673 completed May 9, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69ff4746b1cc8190854f70a124df7d04 completed May 9, 2026, 2:40 p.m.
Created at: May 3, 2026, 4:10 p.m.