Triple

T5575177
Position Surface form Disambiguated ID Type / Status
Subject Jongno-gu E146300 entity
Predicate contains P35 FINISHED
Object Jongno 1-ga
Jongno 1-ga is a central neighborhood in Seoul, South Korea, known for its historic streets, traditional markets, and proximity to major cultural and governmental landmarks.
 E533621 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: Jongno 1-ga | Statement: [Jongno-gu, contains, Jongno 1-ga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jongno 1-ga
Context triple: [Jongno-gu, contains, Jongno 1-ga]
  • 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. Nonhyeon-dong
    Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
  • D. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
  • E. 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.
  • 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: Jongno 1-ga
Triple: [Jongno-gu, contains, Jongno 1-ga]
Generated description
Jongno 1-ga is a central neighborhood in Seoul, South Korea, known for its historic streets, traditional markets, and proximity to major cultural and governmental landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jongno 1-ga
Target entity description: Jongno 1-ga is a central neighborhood in Seoul, South Korea, known for its historic streets, traditional markets, and proximity to major cultural and governmental landmarks.
  • 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. Nonhyeon-dong
    Nonhyeon-dong is a neighborhood in Seoul, South Korea, known for its mix of residential areas, commercial streets, and proximity to major business and shopping districts.
  • D. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
  • E. 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.
  • 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_69c02852a6fc8190a543508ab3237f95 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0430e51fc819084706f52a815350a completed March 22, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_69c046e54a20819080eef5179f206314 completed March 22, 2026, 7:45 p.m.
Created at: March 22, 2026, 3:37 p.m.