Triple

T31664908
Position Surface form Disambiguated ID Type / Status
Subject Munhwaŏ E808098 entity
Predicate hasOrthographicDifferencesWith P52133 FINISHED
Object Standard Korean of South Korea 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: Standard Korean of South Korea | Statement: [Munhwaŏ, hasOrthographicDifferencesWith, Standard Korean of South Korea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrthographicDifferencesWith
Context triple: [Munhwaŏ, hasOrthographicDifferencesWith, Standard Korean of South Korea]
  • A. hasDistinctOrthographyFrom chosen
    Indicates that two written forms are orthographically different from each other, even if they may represent the same or related linguistic content.
  • B. hasOrthographicReform
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • C. orthographicIndependence
    Indicates that one writing system or orthographic form functions independently of, and is not derived from or constrained by, another.
  • D. hasOrthographicConvention
    Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
  • E. orthographicVariant
    Indicates that two written forms are different spellings or orthographic representations of the same linguistic item.
  • 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_69fd7e364a648190a1e9e1d9fc76e99e completed May 8, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69fd7bb547608190a3b04dddbca6b8bc completed May 8, 2026, 5:59 a.m.
Created at: April 30, 2026, 10:58 p.m.