Triple

T20051553
Position Surface form Disambiguated ID Type / Status
Subject Seongdong District E499210 entity
Predicate containsNeighborhood P4813 FINISHED
Object Doseon-dong 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: Doseon-dong | Statement: [Seongdong District, containsNeighborhood, Doseon-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doseon-dong
Context triple: [Seongdong District, containsNeighborhood, Doseon-dong]
  • A. Sogyeok-dong
    Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
  • B. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • C. Sogong-dong
    Sogong-dong is a central neighborhood in Seoul known for its major hotels, shopping areas, and proximity to key business and cultural sites.
  • D. Deungchon-dong
    Deungchon-dong is a neighborhood in Seoul, South Korea, known for its residential areas, local markets, and convenient urban amenities.
  • E. Seongsu-dong
    Seongsu-dong is a trendy neighborhood in Seoul known for its converted industrial spaces, hip cafés, and vibrant arts and culture scene.
  • 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: Doseon-dong
Target entity description: Doseon-dong is a neighborhood located within Seongdong District in Seoul, South Korea.
  • A. Sogyeok-dong
    Sogyeok-dong is a neighborhood in central Seoul, South Korea, known for its traditional Korean houses (hanok), art galleries, and proximity to historic palaces.
  • B. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • C. Sogong-dong
    Sogong-dong is a central neighborhood in Seoul known for its major hotels, shopping areas, and proximity to key business and cultural sites.
  • D. Deungchon-dong
    Deungchon-dong is a neighborhood in Seoul, South Korea, known for its residential areas, local markets, and convenient urban amenities.
  • E. Seongsu-dong
    Seongsu-dong is a trendy neighborhood in Seoul known for its converted industrial spaces, hip cafés, and vibrant arts and culture scene.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.