Triple

T21584642
Position Surface form Disambiguated ID Type / Status
Subject Mapo District E532616 entity
Predicate hasNeighborhood P40 FINISHED
Object Seogyo-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: Seogyo-dong | Statement: [Mapo District, hasNeighborhood, Seogyo-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seogyo-dong
Context triple: [Mapo District, hasNeighborhood, Seogyo-dong]
  • A. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • B. Seongsu-dong
    Seongsu-dong is a trendy neighborhood in Seoul known for its converted industrial spaces, hip cafés, and vibrant arts and culture scene.
  • C. Wonseo-dong
    Wonseo-dong is a neighborhood in central Seoul, South Korea, known for its traditional streets and proximity to historic palaces and cultural sites.
  • D. Sageun-dong
    Sageun-dong is a neighborhood in Seoul, South Korea, located within the city's Seongdong District.
  • E. Nogosan-dong
    Nogosan-dong is a neighborhood in Seoul, South Korea, known for its proximity to the bustling Sinchon area and its mix of residential streets and urban amenities.
  • 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: Seogyo-dong
Target entity description: Seogyo-dong is a vibrant neighborhood in western Seoul known for its youthful atmosphere, indie culture, and proximity to the Hongdae area’s nightlife, arts, and entertainment.
  • A. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • B. Seongsu-dong
    Seongsu-dong is a trendy neighborhood in Seoul known for its converted industrial spaces, hip cafés, and vibrant arts and culture scene.
  • C. Wonseo-dong
    Wonseo-dong is a neighborhood in central Seoul, South Korea, known for its traditional streets and proximity to historic palaces and cultural sites.
  • D. Sageun-dong
    Sageun-dong is a neighborhood in Seoul, South Korea, located within the city's Seongdong District.
  • E. Nogosan-dong
    Nogosan-dong is a neighborhood in Seoul, South Korea, known for its proximity to the bustling Sinchon area and its mix of residential streets and urban amenities.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.