Triple

T6784152
Position Surface form Disambiguated ID Type / Status
Subject 부산광역시 북구 E155757 entity
Predicate hasEducationalInstitution P113 FINISHED
Object 부산과학기술대학교
부산과학기술대학교는 부산광역시 북구에 위치한 공학·보건·서비스 분야 중심의 전문 인력을 양성하는 전문대학이다.
E617786 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: 부산과학기술대학교 | Statement: [부산광역시 북구, hasEducationalInstitution, 부산과학기술대학교]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 부산과학기술대학교
Context triple: [부산광역시 북구, hasEducationalInstitution, 부산과학기술대학교]
  • A. National University of Busan
    National University of Busan is a major public research university in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • B. Busan Campus
    Busan Campus is the main campus of Pusan National University, a leading national research university located in the city of Busan, South Korea.
  • C. Daegu University
    Daegu University is a South Korean higher education institution known for its comprehensive academic programs and strong emphasis on social welfare and special education.
  • D. Busan Catholic University
    Busan Catholic University is a private Catholic higher education institution located in Busan, South Korea.
  • E. Pusan National University
    Pusan National University is a major national research university in South Korea known for its comprehensive academic programs and strong regional influence in the city of Busan.
  • 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: 부산과학기술대학교
Triple: [부산광역시 북구, hasEducationalInstitution, 부산과학기술대학교]
Generated description
부산과학기술대학교는 부산광역시 북구에 위치한 공학·보건·서비스 분야 중심의 전문 인력을 양성하는 전문대학이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 부산과학기술대학교
Target entity description: 부산과학기술대학교는 부산광역시 북구에 위치한 공학·보건·서비스 분야 중심의 전문 인력을 양성하는 전문대학이다.
  • A. National University of Busan
    National University of Busan is a major public research university in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
  • B. Busan Campus
    Busan Campus is the main campus of Pusan National University, a leading national research university located in the city of Busan, South Korea.
  • C. Daegu University
    Daegu University is a South Korean higher education institution known for its comprehensive academic programs and strong emphasis on social welfare and special education.
  • D. Busan Catholic University
    Busan Catholic University is a private Catholic higher education institution located in Busan, South Korea.
  • E. Pusan National University
    Pusan National University is a major national research university in South Korea known for its comprehensive academic programs and strong regional influence in the city of Busan.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28bdc3c8190aa60616d89db66ed completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d5557881909614819deb335534 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713c89a748190bd7bf280b82317f0 completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c714697330819082be2c9a871703f5 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:14 p.m.