Triple

T32423361
Position Surface form Disambiguated ID Type / Status
Subject Bungeishunjū E828512 entity
Predicate hasSubsidiaryOrImprint P81839 FINISHED
Object Bunshun Bunko 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: Bunshun Bunko | Statement: [Bungeishunjū, hasSubsidiaryOrImprint, Bunshun Bunko]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubsidiaryOrImprint
Context triple: [Bungeishunjū, hasSubsidiaryOrImprint, Bunshun Bunko]
  • A. hasParentImprint
    Indicates that one publishing imprint is the parent or controlling imprint of another imprint.
  • B. hasSubsidiaryLabel
    Indicates that one entity is identified as a subsidiary or subordinate organization of another entity.
  • C. hasSubsidiariesIn
    Indicates that an entity has subsidiary companies or organizations operating or registered in a specified location or jurisdiction.
  • D. hasSubsidiaryTitle
    Indicates that an entity has an additional or secondary title formally associated with its main title.
  • E. hasSubImprint chosen
    Indicates that one imprint functions as a subordinate or subsidiary imprint under another imprint.
  • 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_69f3491b28bc8190b75cea7a507f337b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff0491409c8190be40f633a58da0b1 completed May 9, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69ff040bb5cc81909534c7eee85d5e90 completed May 9, 2026, 9:53 a.m.
Created at: May 1, 2026, 12:54 a.m.