Triple

T22703196
Position Surface form Disambiguated ID Type / Status
Subject Pyeongchang County E561376 entity
Predicate locatedNear P294 FINISHED
Object Hoengseong 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: Hoengseong County | Statement: [Pyeongchang County, locatedNear, Hoengseong County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoengseong County
Context triple: [Pyeongchang County, locatedNear, Hoengseong County]
  • A. Hoengseong County chosen
    Hoengseong County is a rural administrative region in northeastern South Korea known for its mountainous landscapes and premium Korean beef (Hoengseong hanwoo).
  • B. Hongseong County
    Hongseong County is a county in South Chungcheong Province, South Korea, known as the provincial capital and an administrative and cultural center of the region.
  • C. Jeongseon County
    Jeongseon County is a mountainous rural county in eastern South Korea known for its traditional culture, scenic landscapes, and coal-mining history.
  • D. Bonghwa County
    Bonghwa County is a rural administrative region in northeastern South Korea known for its mountainous landscapes, forests, and traditional cultural heritage.
  • E. Hongcheon County
    Hongcheon County is a largely rural administrative region in northeastern South Korea known for its natural scenery, forests, and outdoor recreational activities.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.