Triple

T21538495
Position Surface form Disambiguated ID Type / Status
Subject Gumi E531414 entity
Predicate locatedNear P294 FINISHED
Object Chilgok 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: Chilgok County | Statement: [Gumi, locatedNear, Chilgok County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilgok County
Context triple: [Gumi, locatedNear, Chilgok County]
  • A. Chilgok County chosen
    Chilgok County is a rural administrative region in southeastern South Korea known for its agricultural landscape and historical sites, including locations from the Korean War.
  • B. Yangdok County
    Yangdok County is an administrative division in central North Korea known for its mountainous terrain and hot spring resort facilities.
  • C. Cheorwon County
    Cheorwon County is a rural county in Gangwon Province, South Korea, known for its location near the Korean Demilitarized Zone and its significant Korean War history and natural wetlands.
  • D. 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.
  • 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_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.