Triple

T6927613
Position Surface form Disambiguated ID Type / Status
Subject Ulsan Grand Park E160351 entity
Predicate locatedIn P40 FINISHED
Object Yeocheon-dong
Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
 E690341 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: Yeocheon-dong | Statement: [Ulsan Grand Park, locatedIn, Yeocheon-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yeocheon-dong
Context triple: [Ulsan Grand Park, locatedIn, Yeocheon-dong]
  • A. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
  • B. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • C. Okryeon-dong
    Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, 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. Suyeong-dong
    Suyeong-dong is a neighborhood in Busan, South Korea, known as part of the urban area within Suyeong 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: Yeocheon-dong
Triple: [Ulsan Grand Park, locatedIn, Yeocheon-dong]
Generated description
Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yeocheon-dong
Target entity description: Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
  • A. Gocheon-dong
    Gocheon-dong is a neighborhood (dong) that forms part of the city of Osan in Gyeonggi Province, South Korea.
  • B. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • C. Okryeon-dong
    Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, 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. Suyeong-dong
    Suyeong-dong is a neighborhood in Busan, South Korea, known as part of the urban area within Suyeong 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1bf2088190a8ccfa01d9a1efc5 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9251db3388190b8b0ac7549647887 completed March 29, 2026, 1:11 p.m.
NEDg Description generation batch_69c925a8ec808190ba2ea4a015babc79 completed March 29, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_69c92631c60c81909d763206c917ee1c completed March 29, 2026, 1:16 p.m.
Created at: March 27, 2026, 2:27 p.m.