Triple

T31664831
Position Surface form Disambiguated ID Type / Status
Subject Northwest South Korea E808096 entity
Predicate administrativeLanguageStandard P13499 FINISHED
Object Pyojun-eo (Standard Korean) 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: Pyojun-eo (Standard Korean) | Statement: [Northwest South Korea, administrativeLanguageStandard, Pyojun-eo (Standard Korean)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeLanguageStandard
Context triple: [Northwest South Korea, administrativeLanguageStandard, Pyojun-eo (Standard Korean)]
  • A. administrativeLanguageAuthority
    Indicates that an entity has official authority or responsibility over the regulation, standardization, or governance of a particular administrative language.
  • B. standardLanguageOf chosen
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • C. nationalLanguageStandardizedIn
    Indicates that a national language has been formally standardized or codified within a particular country or jurisdiction.
  • D. languageOfCurrentAdministration
    Indicates the language currently used by the governing or administrative authority in charge.
  • E. languageCodeStandard
    Indicates that a language code conforms to a specific standardized coding scheme (such as ISO language code standards).
  • 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_69f348dbeef4819080b446a7feb6340b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
Created at: April 30, 2026, 10:58 p.m.