Triple

T20537089
Position Surface form Disambiguated ID Type / Status
Subject Yongsan-gu E504227 entity
Predicate contains P35 FINISHED
Object Wonhyoro-dong NE NERFINISHED

How this triple was built (3 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: Wonhyoro-dong | Statement: [Yongsan-gu, contains, Wonhyoro-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wonhyoro-dong
Context triple: [Yongsan-gu, contains, Wonhyoro-dong]
  • A. Wonseo-dong
    Wonseo-dong is a neighborhood in central Seoul, South Korea, known for its traditional streets and proximity to historic palaces and cultural sites.
  • B. Yongho-dong
    Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
  • C. Okryeon-dong
    Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, South Korea.
  • D. Banghwa-dong
    Banghwa-dong is a neighborhood in Seoul, South Korea, known for its residential character and proximity to Gimpo International Airport.
  • E. Hoehyeon-dong
    Hoehyeon-dong is a neighborhood in central Seoul, South Korea, known for its proximity to major commercial and historical areas such as Myeong-dong and Namdaemun Market.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wonhyoro-dong
Target entity description: Wonhyoro-dong is a neighborhood (dong) in central Seoul, South Korea, located within the Yongsan-gu district.
  • A. Wonseo-dong
    Wonseo-dong is a neighborhood in central Seoul, South Korea, known for its traditional streets and proximity to historic palaces and cultural sites.
  • B. Yongho-dong
    Yongho-dong is a neighborhood in Busan, South Korea, known as a coastal residential area within the city's southern region.
  • C. Okryeon-dong
    Okryeon-dong is a neighborhood located within Yeonsu District in Incheon, South Korea.
  • D. Banghwa-dong
    Banghwa-dong is a neighborhood in Seoul, South Korea, known for its residential character and proximity to Gimpo International Airport.
  • E. Hoehyeon-dong
    Hoehyeon-dong is a neighborhood in central Seoul, South Korea, known for its proximity to major commercial and historical areas such as Myeong-dong and Namdaemun Market.
  • F. None of above. chosen

Provenance (2 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a28f2f1081908f656d790ff182ff completed April 20, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:37 a.m.