Triple

T22034144
Position Surface form Disambiguated ID Type / Status
Subject Korean Central Television E544156 entity
Predicate usesScript P1587 FINISHED
Object Chosŏn’gŭl NE NERFINISHED

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: Chosŏn’gŭl | Statement: [Korean Central Television, usesScript, Chosŏn’gŭl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chosŏn’gŭl
Context triple: [Korean Central Television, usesScript, Chosŏn’gŭl]
  • A. Yi script
    Yi script is a traditional logographic and syllabic writing system used to represent the Yi languages of southwestern China.
  • B. Hanja
    Hanja is the set of traditional Chinese characters historically used to write Korean, especially for proper names, academic terms, and classical texts.
  • C. Hangul chosen
    Hangul is the native alphabetic writing system of the Korean language, renowned for its scientific design and ease of learning.
  • D. Hangul Jamo
    Hangul Jamo is a Unicode block that encodes the individual consonant and vowel letters used to write the Korean Hangul script.
  • E. Hunminjeongeum
    Hunminjeongeum is the 15th-century Korean document promulgated by King Sejong that introduced and explained the newly created Korean alphabet, now known as Hangul.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.