Triple

T21519969
Position Surface form Disambiguated ID Type / Status
Subject 都筑郡 E530945 entity
Predicate 関連行政区画の変遷 P124980 FINISHED
Object 横浜市への編入により消滅した郡の一つ 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: 横浜市への編入により消滅した郡の一つ | Statement: [都筑郡, 関連行政区画の変遷, 横浜市への編入により消滅した郡の一つ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 関連行政区画の変遷
Context triple: [都筑郡, 関連行政区画の変遷, 横浜市への編入により消滅した郡の一つ]
  • A. partOfAdministrativeDivisionReform
    Indicates that an entity is involved in, or results from, a reorganization or restructuring of administrative divisions.
  • B. hasTerritoryReorganizedInto chosen
    Indicates that an entity’s territorial boundaries or administrative divisions have been restructured to form another specified territory.
  • C. territorialChange
    Indicates a change in control or ownership of geographic territory from one entity to another, often as a result of political, legal, or military events.
  • D. regionTransformed
    Indicates that one region has been changed or converted into another region through some transformation process.
  • E. urbanDivisionRelation
    Indicates a relationship where one urban area, zone, or administrative unit is divided into, or associated with, specific sub-areas or subdivisions within a city or metropolitan region.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884af0f08190bc1f3d70e57a325d completed April 26, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:26 p.m.