Triple

T1655519
Position Surface form Disambiguated ID Type / Status
Subject Geumjeong District E35789 entity
Predicate contains P35 FINISHED
Object Cheongnyong-dong
Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
 E305485 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: Cheongnyong-dong | Statement: [Geumjeong District, contains, Cheongnyong-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cheongnyong-dong
Context triple: [Geumjeong District, contains, Cheongnyong-dong]
  • A. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • B. Suyeong-dong
    Suyeong-dong is a neighborhood in Busan, South Korea, known as part of the urban area within Suyeong District.
  • C. 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.
  • D. Jeonpo-dong
    Jeonpo-dong is a neighborhood in Busan, South Korea, known for its trendy cafes, boutiques, and vibrant urban culture.
  • E. Beomcheon-dong
    Beomcheon-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the central Busanjin 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: Cheongnyong-dong
Triple: [Geumjeong District, contains, Cheongnyong-dong]
Generated description
Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cheongnyong-dong
Target entity description: Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • A. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • B. Suyeong-dong
    Suyeong-dong is a neighborhood in Busan, South Korea, known as part of the urban area within Suyeong District.
  • C. 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.
  • D. Jeonpo-dong
    Jeonpo-dong is a neighborhood in Busan, South Korea, known for its trendy cafes, boutiques, and vibrant urban culture.
  • E. Beomcheon-dong
    Beomcheon-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the central Busanjin 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb4535180819088e3bdaa591dcdbd completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01cda90248190bba2e77b5ffb12a3 completed March 10, 2026, 1:30 p.m.
NEDg Description generation batch_69b020c8acf4819097e9090f1e1a7127 completed March 10, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69b021a461108190b9ad1dbdf151b9c8 completed March 10, 2026, 1:50 p.m.
Created at: March 4, 2026, 7:29 p.m.