Triple

T21623013
Position Surface form Disambiguated ID Type / Status
Subject Seoul Jongno constituency E533624 entity
Predicate contains P35 FINISHED
Object Cheong Wa Dae area — NE NERFINISHED

How this triple was built (3 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: Cheong Wa Dae area | Statement: [Seoul Jongno constituency, contains, Cheong Wa Dae area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cheong Wa Dae area
Context triple: [Seoul Jongno constituency, contains, Cheong Wa Dae area]
  • A. Seoul City Hall area
    The Seoul City Hall area is a central district in downtown Seoul known for its modern government buildings, public squares, and proximity to historic sites like Deoksugung Palace.
  • B. Taewonjeon area
    The Taewonjeon area is a section of Seoul’s historic Gyeongbokgung Palace complex, traditionally associated with royal ancestral rites and related palace facilities.
  • C. Dongdaemun History & Culture Park area
    Dongdaemun History & Culture Park area is a major cultural and commercial district in central Seoul known for its historic sites, museums, and large fashion and shopping complexes.
  • D. Seoul Station area
    The Seoul Station area is a major transportation and commercial hub in central Seoul, centered around the city’s primary railway and subway station and surrounded by offices, shopping facilities, and hotels.
  • E. Namsan area
    The Namsan area is a popular district in central Seoul known for Namsan Mountain, N Seoul Tower, scenic walking trails, and panoramic city views.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cheong Wa Dae area
Target entity description: The Cheong Wa Dae area is the historic presidential compound and surrounding district in central Seoul that long served as the executive office and residence of South Korea’s president.
  • A. Seoul City Hall area
    The Seoul City Hall area is a central district in downtown Seoul known for its modern government buildings, public squares, and proximity to historic sites like Deoksugung Palace.
  • B. Taewonjeon area
    The Taewonjeon area is a section of Seoul’s historic Gyeongbokgung Palace complex, traditionally associated with royal ancestral rites and related palace facilities.
  • C. Dongdaemun History & Culture Park area
    Dongdaemun History & Culture Park area is a major cultural and commercial district in central Seoul known for its historic sites, museums, and large fashion and shopping complexes.
  • D. Seoul Station area
    The Seoul Station area is a major transportation and commercial hub in central Seoul, centered around the city’s primary railway and subway station and surrounded by offices, shopping facilities, and hotels.
  • E. Namsan area
    The Namsan area is a popular district in central Seoul known for Namsan Mountain, N Seoul Tower, scenic walking trails, and panoramic city views.
  • F. None of above. chosen

Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bb0c42c8190997fbeb7a764d60e completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.