Triple

T27337728
Position Surface form Disambiguated ID Type / Status
Subject Daemyeong-dong E690000 entity
Predicate isAdministrativeArea P156955 FINISHED
Object true 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: true | Statement: [Daemyeong-dong, isAdministrativeArea, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isAdministrativeArea
Context triple: [Daemyeong-dong, isAdministrativeArea, true]
  • A. hasAdministrativeArea
    Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
  • B. isLocatedInAdministrativeArea
    Indicates that one entity is situated within the geographic or jurisdictional boundaries of a specified administrative area (such as a city, county, state, or region).
  • C. isAdministrativeDivision chosen
    Indicates that one entity functions as an official administrative subdivision or jurisdiction within the governance structure of another entity.
  • D. denotesAdministrativeArea
    Indicates that one entity designates or specifies another entity as its relevant administrative area or jurisdiction.
  • E. representsAdministrativeRegion
    Indicates that one entity serves as the administrative region or jurisdiction within which the other entity is governed or managed.
  • 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_69ef355e5b388190a8fc1eba9b4a6656 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62ad0b7b88190a69f8e8b2fc9fe3e completed May 2, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69f620e4b1c88190a17940251abc68fd completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 11:41 a.m.