Triple

T17017658
Position Surface form Disambiguated ID Type / Status
Subject 63 Building E412863 entity
Predicate hasKoreanName P17869 FINISHED
Object 63빌딩
63빌딩은 서울 여의도에 위치한 한강변의 대표적인 마천루이자 전망대·수족관·전시시설 등을 갖춘 복합 문화·업무 시설이다.
 E1245521 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: 63빌딩 | Statement: [63 Building, hasKoreanName, 63빌딩]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 63빌딩
Context triple: [63 Building, hasKoreanName, 63빌딩]
  • A. Hanbit Tower
    Hanbit Tower is a prominent landmark and observation tower in Daejeon, South Korea, originally built for the Daejeon Expo and now serving as a symbol of science and technology in the city.
  • B. Mirae Asset Tower
    Mirae Asset Tower is a prominent modern skyscraper in Shanghai’s Pudong financial district, contributing to the iconic skyline along the Huangpu River.
  • C. KL Tower
    KL Tower is a prominent telecommunications and observation tower in Kuala Lumpur, Malaysia, known for its panoramic city views and iconic skyline presence.
  • D. Posco Tower Seoul
    Posco Tower Seoul is a prominent skyscraper and corporate office building in Seoul, South Korea, serving as a major landmark and business hub in the city.
  • E. BBS Tower
    BBS Tower is a prominent telecommunications and broadcasting tower in Thimphu, Bhutan, known for its panoramic views of the city and surrounding mountains.
  • 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: 63빌딩
Triple: [63 Building, hasKoreanName, 63빌딩]
Generated description
63빌딩은 서울 여의도에 위치한 한강변의 대표적인 마천루이자 전망대·수족관·전시시설 등을 갖춘 복합 문화·업무 시설이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 63빌딩
Target entity description: 63빌딩은 서울 여의도에 위치한 한강변의 대표적인 마천루이자 전망대·수족관·전시시설 등을 갖춘 복합 문화·업무 시설이다.
  • A. Hanbit Tower
    Hanbit Tower is a prominent landmark and observation tower in Daejeon, South Korea, originally built for the Daejeon Expo and now serving as a symbol of science and technology in the city.
  • B. Mirae Asset Tower
    Mirae Asset Tower is a prominent modern skyscraper in Shanghai’s Pudong financial district, contributing to the iconic skyline along the Huangpu River.
  • C. KL Tower
    KL Tower is a prominent telecommunications and observation tower in Kuala Lumpur, Malaysia, known for its panoramic city views and iconic skyline presence.
  • D. Posco Tower Seoul
    Posco Tower Seoul is a prominent skyscraper and corporate office building in Seoul, South Korea, serving as a major landmark and business hub in the city.
  • E. BBS Tower
    BBS Tower is a prominent telecommunications and broadcasting tower in Thimphu, Bhutan, known for its panoramic views of the city and surrounding mountains.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4d6cb881909b64b4368fd97fa9 completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011bc4617081908ad2d4c0d35fe98a completed May 10, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a011c76d5b88190b5cda571231f5c7e completed May 11, 2026, 12:01 a.m.
Created at: April 10, 2026, 5:33 a.m.