Triple

T14886556
Position Surface form Disambiguated ID Type / Status
Subject Jongno District E350135 entity
Predicate contains P35 FINISHED
Object Cheongun-dong
Cheongun-dong is a neighborhood in central Seoul, South Korea, known for its proximity to historic sites such as Gyeongbokgung Palace and the Blue House.
 E1194676 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: Cheongun-dong | Statement: [Jongno District, contains, Cheongun-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cheongun-dong
Context triple: [Jongno District, contains, Cheongun-dong]
  • A. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • B. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • C. 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.
  • D. Gwangbok-dong
    Gwangbok-dong is a central commercial and cultural neighborhood in Busan, South Korea, known for its bustling shopping streets and proximity to major downtown attractions.
  • E. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of 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: Cheongun-dong
Triple: [Jongno District, contains, Cheongun-dong]
Generated description
Cheongun-dong is a neighborhood in central Seoul, South Korea, known for its proximity to historic sites such as Gyeongbokgung Palace and the Blue House.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cheongun-dong
Target entity description: Cheongun-dong is a neighborhood in central Seoul, South Korea, known for its proximity to historic sites such as Gyeongbokgung Palace and the Blue House.
  • A. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • B. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • C. 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.
  • D. Gwangbok-dong
    Gwangbok-dong is a central commercial and cultural neighborhood in Busan, South Korea, known for its bustling shopping streets and proximity to major downtown attractions.
  • E. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
NEDg Description generation batch_69ffec5cc1808190ae622027804b43f2 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffed56235c8190b2075cce605ecf03 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 1:56 a.m.