Triple

T3510041
Position Surface form Disambiguated ID Type / Status
Subject Osan, South Korea E74173 entity
Predicate hasPart P35 FINISHED
Object Doksan-dong
Doksan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
 E373309 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: Doksan-dong | Statement: [Osan, South Korea, hasPart, Doksan-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doksan-dong
Context triple: [Osan, South Korea, hasPart, Doksan-dong]
  • A. Seo-dong
    Seo-dong is a neighborhood within Busan’s Geumjeong District in South Korea, known primarily as a residential area with local commerce and community facilities.
  • B. Danggam-dong
    Danggam-dong is a neighborhood (dong) within Busanjin District in Busan, South Korea, known primarily as a residential and commercial urban area.
  • C. Gaya-dong
    Gaya-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the central urban zone of the city.
  • D. Sasang-dong
    Sasang-dong is a neighborhood in Busan, South Korea, known as an urban residential and commercial area within the city's Sasang District.
  • E. Bugok-dong
    Bugok-dong is a neighborhood (dong) located within Geumjeong District in the city of Busan, 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: Doksan-dong
Triple: [Osan, South Korea, hasPart, Doksan-dong]
Generated description
Doksan-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: Doksan-dong
Target entity description: Doksan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • A. Seo-dong
    Seo-dong is a neighborhood within Busan’s Geumjeong District in South Korea, known primarily as a residential area with local commerce and community facilities.
  • B. Danggam-dong
    Danggam-dong is a neighborhood (dong) within Busanjin District in Busan, South Korea, known primarily as a residential and commercial urban area.
  • C. Gaya-dong
    Gaya-dong is a neighborhood in Busan, South Korea, known as a residential and commercial area within the central urban zone of the city.
  • D. Sasang-dong
    Sasang-dong is a neighborhood in Busan, South Korea, known as an urban residential and commercial area within the city's Sasang District.
  • E. Bugok-dong
    Bugok-dong is a neighborhood (dong) located within Geumjeong District in the city of Busan, 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_69b432f87bc4819087bb8e441c50a503 completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b43776598081909545e513cc7b766a completed March 13, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69b437ee23e48190aca327b6c22ccc21 completed March 13, 2026, 4:14 p.m.
Created at: March 8, 2026, 3:18 p.m.