Triple

T6563690
Position Surface form Disambiguated ID Type / Status
Subject Hyundai Heavy Industries E153847 entity
Predicate foundedBy P104 FINISHED
Object Chung Ju-yung E416557 NE FINISHED

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: Chung Ju-yung | Statement: [Hyundai Heavy Industries, foundedBy, Chung Ju-yung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chung Ju-yung
Context triple: [Hyundai Heavy Industries, foundedBy, Chung Ju-yung]
  • A. Chung Ju-yung chosen
    Chung Ju-yung was a South Korean entrepreneur and industrialist who built the Hyundai conglomerate into one of the country’s largest and most influential business empires.
  • B. Paik Sun-yup
    Paik Sun-yup was a South Korean army general renowned for his pivotal leadership during the Korean War and for helping to modernize South Korea’s armed forces.
  • C. Jang Kum-song
    Jang Kum-song was the daughter of senior North Korean official Kim Kyong-hui and thus a member of North Korea’s ruling Kim family.
  • D. Kim Young Sook
    Kim Young Sook is a North Korean woman best known as one of the wives of former North Korean leader Kim Jong Il.
  • E. Shin Young-soo
    Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3a40488190892d20ca0d60b937 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5622e0481909b0ac0f4e06d19bc completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.