Triple

T6248076
Position Surface form Disambiguated ID Type / Status
Subject Seocho District E139771 entity
Predicate contains P35 FINISHED
Object Seocho-dong
Seocho-dong is a neighborhood in southern Seoul, South Korea, known for its affluent residential areas, major cultural venues, and proximity to key business districts.
 E617845 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: Seocho-dong | Statement: [Seocho District, contains, Seocho-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seocho-dong
Context triple: [Seocho District, contains, Seocho-dong]
  • A. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
  • B. Suyeong-dong
    Suyeong-dong is a neighborhood in Busan, South Korea, known as part of the urban area within Suyeong District.
  • C. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • D. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • E. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • 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: Seocho-dong
Triple: [Seocho District, contains, Seocho-dong]
Generated description
Seocho-dong is a neighborhood in southern Seoul, South Korea, known for its affluent residential areas, major cultural venues, and proximity to key business districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seocho-dong
Target entity description: Seocho-dong is a neighborhood in southern Seoul, South Korea, known for its affluent residential areas, major cultural venues, and proximity to key business districts.
  • A. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
  • B. Suyeong-dong
    Suyeong-dong is a neighborhood in Busan, South Korea, known as part of the urban area within Suyeong District.
  • C. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • D. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • E. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633a9a048190856d5247d3b28a2e completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7127641d08190821e7c3fbc5c3ff9 completed March 27, 2026, 11:27 p.m.
NEDg Description generation batch_69c71396f1f88190b3316e694424a2fe completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7146413748190b844d9422dce42c2 completed March 27, 2026, 11:36 p.m.
Created at: March 22, 2026, 4:23 p.m.