Triple

T4130940
Position Surface form Disambiguated ID Type / Status
Subject Kim Chaek E85039 entity
Predicate nativeName P15 FINISHED
Object 김책
김책은 일제강점기와 한국전쟁 시기에 활동한 북한의 혁명가이자 군사 지휘관으로, 북한 초기 정권 수립에 기여한 인물이다.
E414736 NE FINISHED

How this triple was built (4 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: 김책 | Statement: [Kim Chaek, nativeName, 김책]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 김책
Context triple: [Kim Chaek, nativeName, 김책]
  • A. Bucheon
    Bucheon is a major satellite city of Seoul in South Korea, known for its dense urban environment and cultural attractions such as the Bucheon International Fantastic Film Festival.
  • B. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • C. Anseong
    Anseong is a city in Gyeonggi Province, South Korea, known for its traditional culture, agricultural heritage, and annual Baudeogi Festival.
  • D. Dangjin
    Dangjin is a coastal city in South Chungcheong Province, South Korea, known for its heavy industry, steel production, and port facilities on the Yellow Sea.
  • E. Hwaseong
    Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 김책
Triple: [Kim Chaek, nativeName, 김책]
Generated description
김책은 일제강점기와 한국전쟁 시기에 활동한 북한의 혁명가이자 군사 지휘관으로, 북한 초기 정권 수립에 기여한 인물이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 김책
Target entity description: 김책은 일제강점기와 한국전쟁 시기에 활동한 북한의 혁명가이자 군사 지휘관으로, 북한 초기 정권 수립에 기여한 인물이다.
  • A. Bucheon
    Bucheon is a major satellite city of Seoul in South Korea, known for its dense urban environment and cultural attractions such as the Bucheon International Fantastic Film Festival.
  • B. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • C. Anseong
    Anseong is a city in Gyeonggi Province, South Korea, known for its traditional culture, agricultural heritage, and annual Baudeogi Festival.
  • D. Dangjin
    Dangjin is a coastal city in South Chungcheong Province, South Korea, known for its heavy industry, steel production, and port facilities on the Yellow Sea.
  • E. Hwaseong
    Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
  • F. None of above. chosen

Provenance (5 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af021f6a508190b8ac1e0d8b859f74 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c26d4c81909b8be74855cbd03f completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577c2b784819096d8218dd1c1478d completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5782cc448819080e306952da24ac0 completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:42 p.m.