Triple

T1688060
Position Surface form Disambiguated ID Type / Status
Subject Yeonje District E36486 entity
Predicate hasAdministrativeDong P3892 FINISHED
Object Jangjeon-dong
Jangjeon-dong is a neighborhood-level administrative district located within Yeonje District in Busan, South Korea.
 E291683 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: Jangjeon-dong | Statement: [Yeonje District, hasAdministrativeDong, Jangjeon-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jangjeon-dong
Context triple: [Yeonje District, hasAdministrativeDong, Jangjeon-dong]
  • A. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
  • B. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • C. Gamjeon-dong
    Gamjeon-dong is a neighborhood in the Sasang District of Busan, South Korea, known as a residential and commercial area within the city.
  • D. 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.
  • E. Jeonpo-dong
    Jeonpo-dong is a neighborhood in Busan, South Korea, known for its trendy cafes, boutiques, and vibrant urban culture.
  • 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: Jangjeon-dong
Triple: [Yeonje District, hasAdministrativeDong, Jangjeon-dong]
Generated description
Jangjeon-dong is a neighborhood-level administrative district located within Yeonje District in Busan, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jangjeon-dong
Target entity description: Jangjeon-dong is a neighborhood-level administrative district located within Yeonje District in Busan, South Korea.
  • A. Jangjeon-dong chosen
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
  • B. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • C. Gamjeon-dong
    Gamjeon-dong is a neighborhood in the Sasang District of Busan, South Korea, known as a residential and commercial area within the city.
  • D. 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.
  • E. Jeonpo-dong
    Jeonpo-dong is a neighborhood in Busan, South Korea, known for its trendy cafes, boutiques, and vibrant urban culture.
  • F. None of above.

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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abaffad4748190995fec39bc8d7a1f completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1de68338c8190bf28d0a51716623a completed March 11, 2026, 9:28 p.m.
NEDg Description generation batch_69b1e5153640819085c78186c2490140 completed March 11, 2026, 9:56 p.m.
NED2 Entity disambiguation (via description) batch_69b1e57c63288190a37f0d4f87c4108c completed March 11, 2026, 9:58 p.m.
Created at: March 4, 2026, 7:29 p.m.