Triple

T6864370
Position Surface form Disambiguated ID Type / Status
Subject Taikō E158360 entity
Predicate typeOfRegencyTitle P6489 FINISHED
Object post-retirement title LITERAL 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: post-retirement title | Statement: [Taikō, typeOfRegencyTitle, post-retirement title]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfRegencyTitle
Context triple: [Taikō, typeOfRegencyTitle, post-retirement title]
  • A. titleType chosen
    Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
  • B. traditionalTitleGivenBy
    Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
  • C. cultTitleOf
    Indicates that the subject holds a religious or cultic title or honorific associated with the object.
  • D. titleVariant
    Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
  • E. laterTitleOfPatron
    Indicates that one title held by a patron chronologically succeeds another title previously held by the same patron.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6da3ce95081909a424ac04bc7fa07 completed March 27, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69c6d7b168908190b2f7c724b1bc7fc9 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:21 p.m.