Triple

T20051548
Position Surface form Disambiguated ID Type / Status
Subject Seongdong District E499210 entity
Predicate containsNeighborhood P4813 FINISHED
Object Wangsimni-dong
Wangsimni-dong is a neighborhood in central Seoul, South Korea, known as a busy residential and commercial area with major transport links and shopping facilities.
E1503796 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: Wangsimni-dong | Statement: [Seongdong District, containsNeighborhood, Wangsimni-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wangsimni-dong
Context triple: [Seongdong District, containsNeighborhood, Wangsimni-dong]
  • A. Bumgye-dong
    Bumgye-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • B. Hwagok-dong
    Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
  • C. Sinsa-dong
    Sinsa-dong is a fashionable neighborhood in Seoul, South Korea, known for its trendy boutiques, cafes, and the popular Garosu-gil shopping street.
  • D. Hwanghak-dong
    Hwanghak-dong is a neighborhood in central Seoul, South Korea, known for its traditional flea markets and dense urban streetscape.
  • E. Yongho-dong
    Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
  • 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: Wangsimni-dong
Triple: [Seongdong District, containsNeighborhood, Wangsimni-dong]
Generated description
Wangsimni-dong is a neighborhood in central Seoul, South Korea, known as a busy residential and commercial area with major transport links and shopping facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wangsimni-dong
Target entity description: Wangsimni-dong is a neighborhood in central Seoul, South Korea, known as a busy residential and commercial area with major transport links and shopping facilities.
  • A. Bumgye-dong
    Bumgye-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • B. Hwagok-dong
    Hwagok-dong is a neighborhood in western Seoul, South Korea, known as a residential and commercial area within Gangseo-gu.
  • C. Sinsa-dong
    Sinsa-dong is a fashionable neighborhood in Seoul, South Korea, known for its trendy boutiques, cafes, and the popular Garosu-gil shopping street.
  • D. Hwanghak-dong
    Hwanghak-dong is a neighborhood in central Seoul, South Korea, known for its traditional flea markets and dense urban streetscape.
  • E. Yongho-dong
    Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632ee4d48190b9de3a1efa064492 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45c718208190939b58a14d5ab366 completed May 17, 2026, 10:48 p.m.
NEDg Description generation batch_6a0a47375518819091234278dfc326eb completed May 17, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0a47a51cb88190856282fdfa56460b completed May 17, 2026, 10:56 p.m.
Created at: April 11, 2026, 3:38 p.m.