Triple

T20258047
Position Surface form Disambiguated ID Type / Status
Subject South Chungcheong Province E498754 entity
Predicate contains P35 FINISHED
Object Gyeryongsan National Park NE NERFINISHED

How this triple was built (3 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: Gyeryongsan National Park | Statement: [South Chungcheong Province, contains, Gyeryongsan National Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyeryongsan National Park
Context triple: [South Chungcheong Province, contains, Gyeryongsan National Park]
  • A. Naejangsan National Park
    Naejangsan National Park is a scenic mountainous park in South Korea renowned for its spectacular autumn foliage, waterfalls, and historic temples.
  • B. Geumjeongsan Provincial Park
    Geumjeongsan Provincial Park is a protected natural area in Busan, South Korea, known for its forested mountain landscapes, hiking trails, and historic fortress walls.
  • C. Seoraksan National Park
    Seoraksan National Park is a renowned mountainous national park in northeastern South Korea, famous for its dramatic granite peaks, dense forests, and rich biodiversity.
  • D. Odaesan National Park
    Odaesan National Park is a mountainous national park in northeastern South Korea, renowned for its dense forests, Buddhist temples, and rich biodiversity within the Taebaek mountain range.
  • E. Dadohaehaesang National Park
    Dadohaehaesang National Park is South Korea’s largest national park, renowned for its scenic archipelago of islands, rugged coastlines, and rich marine ecosystems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gyeryongsan National Park
Target entity description: Gyeryongsan National Park is a mountainous protected area in central South Korea known for its scenic peaks, dense forests, and significant Buddhist temples and cultural sites.
  • A. Naejangsan National Park
    Naejangsan National Park is a scenic mountainous park in South Korea renowned for its spectacular autumn foliage, waterfalls, and historic temples.
  • B. Geumjeongsan Provincial Park
    Geumjeongsan Provincial Park is a protected natural area in Busan, South Korea, known for its forested mountain landscapes, hiking trails, and historic fortress walls.
  • C. Seoraksan National Park
    Seoraksan National Park is a renowned mountainous national park in northeastern South Korea, famous for its dramatic granite peaks, dense forests, and rich biodiversity.
  • D. Odaesan National Park
    Odaesan National Park is a mountainous national park in northeastern South Korea, renowned for its dense forests, Buddhist temples, and rich biodiversity within the Taebaek mountain range.
  • E. Dadohaehaesang National Park
    Dadohaehaesang National Park is South Korea’s largest national park, renowned for its scenic archipelago of islands, rugged coastlines, and rich marine ecosystems.
  • F. None of above. chosen

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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c7296c819092860942de8f28d5 completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.