Triple

T21538608
Position Surface form Disambiguated ID Type / Status
Subject Upo Wetland E531416 entity
Predicate nearestCity P350 FINISHED
Object Changnyeong 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: Changnyeong | Statement: [Upo Wetland, nearestCity, Changnyeong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Changnyeong
Context triple: [Upo Wetland, nearestCity, Changnyeong]
  • A. Jeongeup
    Jeongeup is a city in South Korea known for its location in North Jeolla Province and its cultural and historical heritage.
  • B. Gwangyang
    Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
  • C. Changnyeong County chosen
    Changnyeong County is a rural administrative region in South Gyeongsang Province, South Korea, known for its agricultural landscape and historical sites.
  • D. Suncheon
    Suncheon is a city in South Jeolla Province, South Korea, known for its ecological attractions such as the Suncheon Bay Wetland Reserve and its role as a regional administrative and cultural center.
  • E. Seongsan-eup
    Seongsan-eup is a coastal town on South Korea’s Jeju Island known for its scenic landscapes and proximity to the volcanic tuff cone Seongsan Ilchulbong, a UNESCO World Heritage site.
  • 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.