Triple

T21584641
Position Surface form Disambiguated ID Type / Status
Subject Mapo District E532616 entity
Predicate hasNeighborhood P40 FINISHED
Object Hapjeong-dong
Hapjeong-dong is a neighborhood in western Seoul, South Korea, known for its trendy cafes, cultural venues, and proximity to the Han River.
E1567796 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: Hapjeong-dong | Statement: [Mapo District, hasNeighborhood, Hapjeong-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hapjeong-dong
Context triple: [Mapo District, hasNeighborhood, Hapjeong-dong]
  • A. Hwanghak-dong
    Hwanghak-dong is a neighborhood in central Seoul, South Korea, known for its traditional flea markets and dense urban streetscape.
  • B. Cheonghak-dong
    Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
  • C. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • D. Hwagok-dong
    Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
  • E. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong 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: Hapjeong-dong
Triple: [Mapo District, hasNeighborhood, Hapjeong-dong]
Generated description
Hapjeong-dong is a neighborhood in western Seoul, South Korea, known for its trendy cafes, cultural venues, and proximity to the Han River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hapjeong-dong
Target entity description: Hapjeong-dong is a neighborhood in western Seoul, South Korea, known for its trendy cafes, cultural venues, and proximity to the Han River.
  • A. Hwanghak-dong
    Hwanghak-dong is a neighborhood in central Seoul, South Korea, known for its traditional flea markets and dense urban streetscape.
  • B. Cheonghak-dong
    Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of Busan, South Korea.
  • C. Cheonghak-dong
    Cheonghak-dong is a neighborhood within the city of Osan in Gyeonggi Province, South Korea.
  • D. Hwagok-dong
    Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
  • E. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0abd066081909ce2709cd85a1551 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0b70986c81909e1db90201b55f9d completed May 19, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0c368c1c81909075c3d9802cfa2f completed May 19, 2026, 7:07 a.m.
Created at: April 16, 2026, 6:31 p.m.