Triple

T21257873
Position Surface form Disambiguated ID Type / Status
Subject Namgang River E523915 entity
Predicate flowsThrough P225 FINISHED
Object Uiryeong County 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: Uiryeong County | Statement: [Namgang River, flowsThrough, Uiryeong County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uiryeong County
Context triple: [Namgang River, flowsThrough, Uiryeong County]
  • A. Uiryeong County chosen
    Uiryeong County is a rural county in South Gyeongsang Province, South Korea, known as the birthplace of Samsung founder Lee Byung-chul.
  • B. Hoechang County
    Hoechang County is a county in South Pyongan Province, North Korea, historically noted as the burial site of Mao Anying, son of Chinese leader Mao Zedong.
  • C. Yeongwol County
    Yeongwol County is a rural county in Gangwon Province, South Korea, known for its scenic river valleys, historical sites, and cultural heritage.
  • D. Seongju County
    Seongju County is a rural administrative region in southeastern South Korea known for its melon farming and traditional cultural heritage.
  • E. Yecheon County
    Yecheon County is a rural administrative region in eastern South Korea known for its traditional culture, agriculture, and location within North Gyeongsang Province.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e2f1d48190b566ab4d736fdbc4 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:58 p.m.