Triple

T23579126
Position Surface form Disambiguated ID Type / Status
Subject Korea E582149 entity
Predicate traditionalScriptReform P10346 FINISHED
Object Hangul promulgation in 15th century 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: Hangul promulgation in 15th century | Statement: [Korea, traditionalScriptReform, Hangul promulgation in 15th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalScriptReform
Context triple: [Korea, traditionalScriptReform, Hangul promulgation in 15th century]
  • A. formerTransliteration
    Indicates that one transliteration was previously used for an entity but has since been replaced by a different transliteration.
  • B. languageReform
    Indicates efforts or actions aimed at changing, standardizing, or improving aspects of a language, such as its spelling, grammar, or usage rules.
  • C. romanizationStandardReplacedBy
    Indicates that one system or convention for romanization has been superseded and replaced by another romanization standard.
  • D. standardTransliteration
    Indicates that one representation of text is a transliteration of another according to a recognized standard or convention.
  • E. hasOrthographicReform chosen
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • 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_69e248f8d8248190acd5aee77f0d1709 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1afd7dbe88190b05ff03f952bf7c3 completed April 29, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69f118bcc0b08190b25a8dddfd461a0e completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:39 p.m.