Triple

T18951940
Position Surface form Disambiguated ID Type / Status
Subject Suh E463676 entity
Predicate hasHanjaForms P27905 FINISHED
Object yes 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: yes | Statement: [Suh, hasHanjaForms, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHanjaForms
Context triple: [Suh, hasHanjaForms, yes]
  • A. usesHanjaVariants
    Indicates that one entity employs or incorporates alternative Hanja (Chinese character) forms corresponding to another entity.
  • B. hanjaName chosen
    Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
  • C. hasHalfwidthForms
    Indicates that an entity has corresponding halfwidth character forms representing it.
  • D. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • E. hasKanjiReading
    Indicates that a written kanji character is associated with a specific reading or pronunciation.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d54385e08190903a054681352d11 completed April 20, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69e4a2efec5c8190840704016bf547a1 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, noon