Triple

T3510038
Position Surface form Disambiguated ID Type / Status
Subject Osan, South Korea E74173 entity
Predicate hasPart P35 FINISHED
Object Seongho-dong
Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
 E366884 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: Seongho-dong | Statement: [Osan, South Korea, hasPart, Seongho-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seongho-dong
Context triple: [Osan, South Korea, hasPart, Seongho-dong]
  • A. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in 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. Geumsa-dong
    Geumsa-dong is a neighborhood (dong) located within Geumjeong District in Busan, South Korea.
  • D. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
  • E. Gwangan-dong
    Gwangan-dong is a coastal neighborhood in Busan, South Korea, best known for Gwangalli Beach and its views of the illuminated Gwangan Bridge.
  • 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: Seongho-dong
Triple: [Osan, South Korea, hasPart, Seongho-dong]
Generated description
Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seongho-dong
Target entity description: Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • A. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in 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. Geumsa-dong
    Geumsa-dong is a neighborhood (dong) located within Geumjeong District in Busan, South Korea.
  • D. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
  • E. Gwangan-dong
    Gwangan-dong is a coastal neighborhood in Busan, South Korea, best known for Gwangalli Beach and its views of the illuminated Gwangan Bridge.
  • 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_69b38bc25328819098f7744ee228d665 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38f9487c481909c37b3c036e8b08d completed March 13, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_69b38feb04188190a04dad8a7434ee94 completed March 13, 2026, 4:17 a.m.
Created at: March 8, 2026, 3:18 p.m.