Triple

T4839117
Position Surface form Disambiguated ID Type / Status
Subject Gangnam District E108134 entity
Predicate contains P35 FINISHED
Object Cheongdam-dong
Cheongdam-dong is an affluent neighborhood in Seoul known for its luxury boutiques, high-end residences, and trendy cafes and galleries.
 E486431 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: Cheongdam-dong | Statement: [Gangnam District, contains, Cheongdam-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cheongdam-dong
Context triple: [Gangnam District, contains, Cheongdam-dong]
  • A. Yeouido-dong
    Yeouido-dong is a major financial and business district in Seoul, South Korea, known for its skyscrapers, corporate headquarters, and role as a political and economic hub.
  • B. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • C. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • D. Jongno District
    Jongno District is a central historic and administrative area of Seoul, South Korea, known for its government institutions, cultural landmarks, and traditional neighborhoods.
  • E. Seomyeon
    Seomyeon is a major commercial and entertainment hub in central Busan, South Korea, known for its dense concentration of shops, restaurants, bars, and nightlife.
  • 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: Cheongdam-dong
Triple: [Gangnam District, contains, Cheongdam-dong]
Generated description
Cheongdam-dong is an affluent neighborhood in Seoul known for its luxury boutiques, high-end residences, and trendy cafes and galleries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cheongdam-dong
Target entity description: Cheongdam-dong is an affluent neighborhood in Seoul known for its luxury boutiques, high-end residences, and trendy cafes and galleries.
  • A. Yeouido-dong
    Yeouido-dong is a major financial and business district in Seoul, South Korea, known for its skyscrapers, corporate headquarters, and role as a political and economic hub.
  • B. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • C. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • D. Jongno District
    Jongno District is a central historic and administrative area of Seoul, South Korea, known for its government institutions, cultural landmarks, and traditional neighborhoods.
  • E. Seomyeon
    Seomyeon is a major commercial and entertainment hub in central Busan, South Korea, known for its dense concentration of shops, restaurants, bars, and nightlife.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce4a5108190aede620d5dde1f81 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9232aa3081908d08c64d71a9e3cf completed March 21, 2026, 12:42 p.m.
NEDg Description generation batch_69be9439bc248190a1c03ce2a941e313 completed March 21, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69be94979ec08190907d28cd38ade77b completed March 21, 2026, 12:52 p.m.
Created at: March 20, 2026, 1:25 p.m.