Triple

T23833527
Position Surface form Disambiguated ID Type / Status
Subject Kameoka City Government E589577 entity
Predicate governsAsMunicipalityType P10835 FINISHED
Object city 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: city | Statement: [Kameoka City Government, governsAsMunicipalityType, city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsAsMunicipalityType
Context triple: [Kameoka City Government, governsAsMunicipalityType, city]
  • A. isPartOfMunicipalityType
    Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
  • B. hasMunicipalityType chosen
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • C. servesAsMunicipalAuthorityFor
    Indicates that an entity functions as the official municipal governing or administrative authority for a specified locality or jurisdiction.
  • D. hasCityGovernmentType
    Indicates the specific form or structure of municipal governance that administers a city.
  • E. governedCityStateType
    Indicates that a city is governed under a particular type or form of state-level governance.
  • 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_69e25d1922d481909cab567c06a802ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c7f7aa488190b1bc5cab77a11123 completed April 29, 2026, 8:57 a.m.
PD Predicate disambiguation batch_69f156036ad48190bc2ffdaf39218bcb completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 8:06 p.m.