Triple

T5575187
Position Surface form Disambiguated ID Type / Status
Subject Jongno-gu E146300 entity
Predicate contains P35 FINISHED
Object Gahoe-dong
Gahoe-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
 E569706 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: Gahoe-dong | Statement: [Jongno-gu, contains, Gahoe-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gahoe-dong
Context triple: [Jongno-gu, contains, Gahoe-dong]
  • A. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • B. Hyehwa-dong
    Hyehwa-dong is a neighborhood in central Seoul known for its youthful atmosphere, theaters, and vibrant arts and culture scene.
  • C. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • D. Apgujeong-dong
    Apgujeong-dong is an affluent neighborhood in Seoul, South Korea, known for its high-end shopping, trendy cafes, and vibrant nightlife.
  • E. Gwaebeop-dong
    Gwaebeop-dong is a neighborhood in Busan, South Korea, known as an administrative subdivision of the city's Sasang 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: Gahoe-dong
Triple: [Jongno-gu, contains, Gahoe-dong]
Generated description
Gahoe-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gahoe-dong
Target entity description: Gahoe-dong is a historic neighborhood in central Seoul, South Korea, known for its traditional hanok houses and cultural heritage sites.
  • A. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • B. Hyehwa-dong
    Hyehwa-dong is a neighborhood in central Seoul known for its youthful atmosphere, theaters, and vibrant arts and culture scene.
  • C. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • D. Apgujeong-dong
    Apgujeong-dong is an affluent neighborhood in Seoul, South Korea, known for its high-end shopping, trendy cafes, and vibrant nightlife.
  • E. Gwaebeop-dong
    Gwaebeop-dong is a neighborhood in Busan, South Korea, known as an administrative subdivision of the city's Sasang 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_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_69c124dc89a88190a219eda67e6d933c completed March 23, 2026, 11:32 a.m.
NEDg Description generation batch_69c129f2d84481908808481ba48a5aed completed March 23, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_69c12a5235288190a8db827e1a610cd0 completed March 23, 2026, 11:56 a.m.
Created at: March 22, 2026, 3:37 p.m.