Triple

T3510040
Position Surface form Disambiguated ID Type / Status
Subject Osan, South Korea E74173 entity
Predicate hasPart P35 FINISHED
Object Gocheon-dong
Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
 E371898 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: Gocheon-dong | Statement: [Osan, South Korea, hasPart, Gocheon-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gocheon-dong
Context triple: [Osan, South Korea, hasPart, Gocheon-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. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • D. Beomcheon-dong
    Beomcheon-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the central Busanjin District.
  • E. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • 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: Gocheon-dong
Triple: [Osan, South Korea, hasPart, Gocheon-dong]
Generated description
Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gocheon-dong
Target entity description: Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, 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. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong District in Busan, South Korea.
  • D. Beomcheon-dong
    Beomcheon-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the central Busanjin District.
  • E. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0e1f0c8190b054d9fba16ce4b3 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402d3a06481908e512c09306a2566 completed March 13, 2026, 12:28 p.m.
NEDg Description generation batch_69b4069ce1e48190a1c0aa9de973d49f completed March 13, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69b40aa1678081909b2131a561b2e4ab completed March 13, 2026, 1:01 p.m.
Created at: March 8, 2026, 3:18 p.m.