Triple

T21538496
Position Surface form Disambiguated ID Type / Status
Subject Gumi E531414 entity
Predicate locatedNear P294 FINISHED
Object Uiseong 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: Uiseong County | Statement: [Gumi, locatedNear, Uiseong County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uiseong County
Context triple: [Gumi, locatedNear, Uiseong County]
  • A. Uiseong County chosen
    Uiseong County is a rural administrative region in southeastern South Korea known for its agricultural production and traditional Korean cultural heritage.
  • B. Eumseong County
    Eumseong County is a rural administrative region in North Chungcheong Province, South Korea, known as the birthplace of former UN Secretary-General Ban Ki-moon.
  • C. Yeoncheon County
    Yeoncheon County is a rural county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its historical military significance.
  • D. Dalseong County
    Dalseong County is a largely rural administrative district on the outskirts of Daegu in South Korea, known for its natural scenery, agricultural areas, and growing suburban developments.
  • E. Bonghwa County
    Bonghwa County is a rural administrative region in northeastern South Korea known for its mountainous landscapes, forests, and traditional cultural heritage.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d10a2888190bc4e502a829c76a4 completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.