Triple

T15803297
Position Surface form Disambiguated ID Type / Status
Subject E383147 entity
Predicate hasKoreanReading P52969 FINISHED
Object 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: 애 | Statement: [艾, hasKoreanReading, 애]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKoreanReading
Context triple: [艾, hasKoreanReading, 애]
  • A. hasHokkienReading
    Indicates that an entity is associated with a specific reading or pronunciation in the Hokkien language.
  • B. hasMandarinReading
    Indicates that an entity is associated with a specific reading or pronunciation in Mandarin Chinese.
  • C. koreanReadingHangul chosen
    Indicates that an entity’s Korean reading is represented in Hangul script.
  • D. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • E. hasKoreanVersion
    Indicates that something has a corresponding version or counterpart that is in the Korean language.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b524835c8190ae286b2562f07756 completed April 16, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69e0053b847c8190945726c3ddac21cc completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:48 a.m.