Triple

T27387332
Position Surface form Disambiguated ID Type / Status
Subject Hiyoshi E691416 entity
Predicate hadLocalGovernmentForm P162378 FINISHED
Object town government 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: town government | Statement: [Hiyoshi, hadLocalGovernmentForm, town government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadLocalGovernmentForm
Context triple: [Hiyoshi, hadLocalGovernmentForm, town government]
  • A. hadLocalGovernmentFunction
    Indicates that an entity previously exercised responsibilities or powers as a local governing authority within a specific area or jurisdiction.
  • B. hasLocalGovernmentStatusSinceCountryFormation
    Indicates that an entity has held local government status continuously since the time its country was formed.
  • C. hasLocalGovernmentHistory
    Indicates that an entity has a documented history or record of its local governmental structure, activities, or developments.
  • D. hasMunicipalFormation
    Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
  • E. hasLocalGovernmentSystem
    Indicates that an entity possesses or operates under a particular system or structure of local government.
  • F. None of above. chosen

Provenance (4 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_69ef520386788190bc92cfcd97ebb67a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c8bd8508190b865c41da9f37d28 completed May 2, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69f623aaf40081909f947431424a1d55 completed May 2, 2026, 4:17 p.m.
PDg Predicate description generation batch_69f624c006788190a2f4d5015c96463f completed May 2, 2026, 4:22 p.m.
Created at: April 27, 2026, 12:24 p.m.