Triple

T27320418
Position Surface form Disambiguated ID Type / Status
Subject Kitaiōjima E689476 entity
Predicate formerAdministrativeName P171724 FINISHED
Object Kita Iōjima 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: Kita Iōjima | Statement: [Kitaiōjima, formerAdministrativeName, Kita Iōjima]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerAdministrativeName
Context triple: [Kitaiōjima, formerAdministrativeName, Kita Iōjima]
  • A. formerNameOfRegion chosen
    Indicates that one name was previously used for a region that is now known by a different name.
  • B. formerNameOfProvince
    Indicates that one name was previously used as the official name of a province before being replaced by another name.
  • C. formerNameOfDistrict
    Indicates that one district previously had a different official name, which is the value linked by this predicate.
  • D. formerAdministrativeTerritory
    Indicates that one entity was previously an official administrative territory of another entity but no longer holds that status.
  • E. formerMunicipalityOf
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • 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_69ef355c53a08190a8a92e355a7ce115 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
Created at: April 27, 2026, 11:32 a.m.