Triple

T21106575
Position Surface form Disambiguated ID Type / Status
Subject Chokseoknu Pavilion E520060 entity
Predicate region P40 FINISHED
Object Yeongnam region 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: Yeongnam region | Statement: [Chokseoknu Pavilion, region, Yeongnam region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeongnam region
Context triple: [Chokseoknu Pavilion, region, Yeongnam region]
  • A. Yeongnam region chosen
    The Yeongnam region is a major southeastern area of South Korea encompassing key cities such as Busan and Daegu, known for its dense population, industry, and distinct cultural identity.
  • B. Yeongdong region
    The Yeongdong region is an area on the eastern side of the Korean Peninsula, particularly in Gangwon Province, known for its coastal geography and distinct local culture.
  • C. Chungcheong region
    The Chungcheong region is a central area of South Korea known for its mix of agricultural plains, growing urban centers, and administrative significance.
  • D. Yeongseo region
    The Yeongseo region is a western inland area of Gangwon Province in South Korea, known for its mountainous terrain and distinct local culture.
  • E. Minho region
    The Minho region is a historic and culturally rich area in northwest Portugal, known for its lush green landscapes, traditional cuisine, and production of Vinho Verde wine.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b62301c819082cfc6cb3cd11c8c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.