Triple

T22315377
Position Surface form Disambiguated ID Type / Status
Subject Lee Chang-dong E551626 entity
Predicate birthPlace P1 FINISHED
Object Daegu, South Korea 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: Daegu, South Korea | Statement: [Lee Chang-dong, birthPlace, Daegu, South Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daegu, South Korea
Context triple: [Lee Chang-dong, birthPlace, Daegu, South Korea]
  • A. Daegu, South Korea chosen
    Daegu, South Korea is a major city in the southeastern part of the country known for its role as an industrial, cultural, and educational center.
  • B. Daejeon, South Korea
    Daejeon, South Korea is a major inland city known as a national hub for science, technology, and research, home to numerous universities, government research institutes, and high-tech industries.
  • C. Pohang, South Korea
    Pohang, South Korea is a coastal industrial city in North Gyeongsang Province known for its major steel industry and as the home of POSCO.
  • D. Gwangju, South Korea
    Gwangju, South Korea is a major southwestern city known for its pivotal role in the country’s pro-democracy movement and its vibrant cultural and artistic scene.
  • E. Suwon, South Korea
    Suwon, South Korea is a major city just south of Seoul known for its high-tech industry and the UNESCO-listed Hwaseong Fortress.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1575287688190aa642bb49b24f5a1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.