Triple

T19578473
Position Surface form Disambiguated ID Type / Status
Subject Bak Hyeokgeose E489922 entity
Predicate associatedWith P37 FINISHED
Object Gyeongju 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: Gyeongju region | Statement: [Bak Hyeokgeose, associatedWith, Gyeongju region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gyeongju region
Context triple: [Bak Hyeokgeose, associatedWith, Gyeongju region]
  • A. 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.
  • B. Honam region
    The Honam region is a southwestern area of South Korea traditionally encompassing the provinces of Jeolla and the city of Gwangju, known for its rich agriculture, distinct culture, and strong democratic activism.
  • C. Yeongju
    Yeongju is a city in eastern South Korea known for its historic temples, Confucian academies, and scenic mountainous landscapes.
  • D. 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.
  • E. Sudogwon region
    The Sudogwon region is the densely populated metropolitan area surrounding Seoul in northwestern South Korea, encompassing the capital and its major satellite cities.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402693d88190a828c0e136895783 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.