Triple

T6774659
Position Surface form Disambiguated ID Type / Status
Subject Ulsan-gwangyeoksi E155125 entity
Predicate hasAdministrativeDistrictType P35772 FINISHED
Object Gu 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: Gu | Statement: [Ulsan-gwangyeoksi, hasAdministrativeDistrictType, Gu]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeDistrictType
Context triple: [Ulsan-gwangyeoksi, hasAdministrativeDistrictType, Gu]
  • A. hasAdministrativeArea
    Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
  • B. usesAdministrativeDivisionType chosen
    Indicates that one entity employs or applies a particular type of administrative division as part of its territorial or organizational structure.
  • C. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • D. administrativeDistricts
    Indicates that one entity serves as an administrative district or subdivision governed or managed by another entity.
  • E. containsAdministrativeTerritory
    Indicates that one administrative unit geographically or jurisdictionally includes another administrative territory within its boundaries.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24ddaf08190baffbff991eeb458 completed March 27, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69c6d094105881909c5806eb4afa6306 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:13 p.m.