Triple

T5575174
Position Surface form Disambiguated ID Type / Status
Subject Jongno-gu E146300 entity
Predicate contains P35 FINISHED
Object Samcheong-dong
Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
 E552503 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: Samcheong-dong | Statement: [Jongno-gu, contains, Samcheong-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samcheong-dong
Context triple: [Jongno-gu, contains, Samcheong-dong]
  • A. Samseong-dong
    Samseong-dong is a prominent neighborhood in Seoul, South Korea, known for its upscale shopping, business centers, and major landmarks like COEX Mall.
  • B. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • C. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • D. Namcheon-dong
    Namcheon-dong is a coastal neighborhood in Busan, South Korea, known for its residential areas, local markets, and proximity to Gwangalli Beach.
  • E. Daechi-dong
    Daechi-dong is a wealthy neighborhood in Seoul renowned for its dense concentration of private academies and highly competitive educational culture.
  • 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: Samcheong-dong
Triple: [Jongno-gu, contains, Samcheong-dong]
Generated description
Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samcheong-dong
Target entity description: Samcheong-dong is a picturesque neighborhood in central Seoul known for its traditional hanok houses, art galleries, cafes, and proximity to historic palaces.
  • A. Samseong-dong
    Samseong-dong is a prominent neighborhood in Seoul, South Korea, known for its upscale shopping, business centers, and major landmarks like COEX Mall.
  • B. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • C. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • D. Namcheon-dong
    Namcheon-dong is a coastal neighborhood in Busan, South Korea, known for its residential areas, local markets, and proximity to Gwangalli Beach.
  • E. Daechi-dong
    Daechi-dong is a wealthy neighborhood in Seoul renowned for its dense concentration of private academies and highly competitive educational culture.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02067e8d8819090a006cb266da5fe completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b08980748190a86ccffd9ff94fbf completed March 23, 2026, 3:16 a.m.
NEDg Description generation batch_69c0b1c9ebdc819089752d150b584a6f completed March 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69c0b27981848190a5b7c618044241b0 completed March 23, 2026, 3:24 a.m.
Created at: March 22, 2026, 3:37 p.m.