Triple

T22940294
Position Surface form Disambiguated ID Type / Status
Subject Gahoe-dong E569706 entity
Predicate partOf P40 FINISHED
Object Bukchon area NE NERFINISHED

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: Bukchon area | Statement: [Gahoe-dong, partOf, Bukchon area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukchon area
Context triple: [Gahoe-dong, partOf, Bukchon area]
  • A. Bukchon Hanok Village chosen
    Bukchon Hanok Village is a historic neighborhood in central Seoul known for its well-preserved traditional Korean hanok houses and scenic alleyways.
  • B. Dongdaemun area
    The Dongdaemun area is a major commercial and cultural district in central Seoul, known for its large fashion markets, shopping complexes, and modern landmarks.
  • C. Jongno District
    Jongno District is a central historic and administrative area of Seoul, South Korea, known for its government institutions, cultural landmarks, and traditional neighborhoods.
  • D. Seomyeon commercial district
    Seomyeon commercial district is one of Busan’s busiest downtown areas, known for its dense concentration of shops, restaurants, nightlife, and entertainment venues.
  • E. Chungmuro area
    The Chungmuro area is a historic neighborhood in central Seoul renowned as the traditional heart of the Korean film industry and printing culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813844b88190b05d3829b0c423c4 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.