Triple

T12158294
Position Surface form Disambiguated ID Type / Status
Subject Kangseo-gu E289635 entity
Predicate hasNotableArea P494 FINISHED
Object Deungchon-dong
Deungchon-dong is a neighborhood in Seoul, South Korea, known for its residential areas, local markets, and convenient urban amenities.
E1031864 NE FINISHED

How this triple was built (4 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: Deungchon-dong | Statement: [Kangseo-gu, hasNotableArea, Deungchon-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deungchon-dong
Context triple: [Kangseo-gu, hasNotableArea, Deungchon-dong]
  • A. Daechi-dong
    Daechi-dong is a wealthy neighborhood in Seoul renowned for its dense concentration of private academies and highly competitive educational culture.
  • B. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • C. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • D. Daecheong-dong
    Daecheong-dong is a neighborhood in central Busan, South Korea, known for its urban setting within the city's Jung District.
  • E. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deungchon-dong
Triple: [Kangseo-gu, hasNotableArea, Deungchon-dong]
Generated description
Deungchon-dong is a neighborhood in Seoul, South Korea, known for its residential areas, local markets, and convenient urban amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deungchon-dong
Target entity description: Deungchon-dong is a neighborhood in Seoul, South Korea, known for its residential areas, local markets, and convenient urban amenities.
  • A. Daechi-dong
    Daechi-dong is a wealthy neighborhood in Seoul renowned for its dense concentration of private academies and highly competitive educational culture.
  • B. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • C. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • D. Daecheong-dong
    Daecheong-dong is a neighborhood in central Busan, South Korea, known for its urban setting within the city's Jung District.
  • E. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
  • F. None of above. chosen

Provenance (5 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716afa8008190b4c518dd6004d87a completed May 3, 2026, 9:34 a.m.
NEDg Description generation batch_69f7179da5488190a10acadbf60ea470 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f71847e7308190ac6f59a7dcafa452 completed May 3, 2026, 9:41 a.m.
Created at: April 8, 2026, 9:50 p.m.