Triple

T21584644
Position Surface form Disambiguated ID Type / Status
Subject Mapo District E532616 entity
Predicate hasNeighborhood P40 FINISHED
Object Yeonnam-dong
Yeonnam-dong is a trendy neighborhood in western Seoul known for its cafes, indie shops, and the Gyeongui Line Forest Park.
E1572948 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: Yeonnam-dong | Statement: [Mapo District, hasNeighborhood, Yeonnam-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeonnam-dong
Context triple: [Mapo District, hasNeighborhood, Yeonnam-dong]
  • A. Yeonsu-dong
    Yeonsu-dong is a neighborhood within Incheon, South Korea, known as a residential and local commercial area of Yeonsu District.
  • B. Yeoksam-dong
    Yeoksam-dong is a major commercial and residential neighborhood in Seoul, South Korea, known for its dense cluster of corporate offices, tech companies, and vibrant urban amenities.
  • C. Yongho-dong
    Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
  • D. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • E. Yeomchang-dong
    Yeomchang-dong is a neighborhood in the Gangseo District of western Seoul, South Korea, known primarily as a residential area with convenient access to the Han River and central Seoul.
  • 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: Yeonnam-dong
Triple: [Mapo District, hasNeighborhood, Yeonnam-dong]
Generated description
Yeonnam-dong is a trendy neighborhood in western Seoul known for its cafes, indie shops, and the Gyeongui Line Forest Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yeonnam-dong
Target entity description: Yeonnam-dong is a trendy neighborhood in western Seoul known for its cafes, indie shops, and the Gyeongui Line Forest Park.
  • A. Yeonsu-dong
    Yeonsu-dong is a neighborhood within Incheon, South Korea, known as a residential and local commercial area of Yeonsu District.
  • B. Yeoksam-dong
    Yeoksam-dong is a major commercial and residential neighborhood in Seoul, South Korea, known for its dense cluster of corporate offices, tech companies, and vibrant urban amenities.
  • C. Yongho-dong
    Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
  • D. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • E. Yeomchang-dong
    Yeomchang-dong is a neighborhood in the Gangseo District of western Seoul, South Korea, known primarily as a residential area with convenient access to the Han River and central Seoul.
  • 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_6a0c306a9b0c8190a5c1eee977812ac6 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3237777c8190a9c7158a79360717 completed May 19, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c32ece3148190a22881d69c42e948 completed May 19, 2026, 9:52 a.m.
Created at: April 16, 2026, 6:31 p.m.