Triple

T17017659
Position Surface form Disambiguated ID Type / Status
Subject 63 Building E412863 entity
Predicate hasKoreanName P17869 FINISHED
Object 63 스퀘어 E1245518 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: 63 스퀘어 | Statement: [63 Building, hasKoreanName, 63 스퀘어]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 63 스퀘어
Context triple: [63 Building, hasKoreanName, 63 스퀘어]
  • A. 63 Square chosen
    63 Square is a prominent skyscraper and landmark office building in Seoul, South Korea, known for its golden glass exterior and observation deck overlooking the Han River.
  • B. 63 City
    63 City is a prominent skyscraper in Seoul, South Korea, known for its golden glass exterior and observation deck overlooking the Han River.
  • C. 63빌딩
    63빌딩은 서울 여의도에 위치한 한강변의 대표적인 마천루이자 전망대·수족관·전시시설 등을 갖춘 복합 문화·업무 시설이다.
  • D. The Square
    The Square is an acclaimed 2013 documentary film that chronicles the Egyptian Revolution of 2011 through the experiences of activists in Cairo’s Tahrir Square.
  • E. The Square
    The Square is the central public park and civic hub of Palmerston North, New Zealand, known for its open green spaces, monuments, and surrounding shops and businesses.
  • 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_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_6a01233311648190b5f8a8e7c209d124 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.