Triple

T4839119
Position Surface form Disambiguated ID Type / Status
Subject Gangnam District E108134 entity
Predicate contains P35 FINISHED
Object Yeoksam-dong E482400 NE FINISHED

How this triple was built (2 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: Yeoksam-dong | Statement: [Gangnam District, contains, Yeoksam-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeoksam-dong
Context triple: [Gangnam District, contains, Yeoksam-dong]
  • A. Yeoksam-dong chosen
    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.
  • B. Yeonsan-dong
    Yeonsan-dong is a neighborhood-level administrative area within Yeonje District in Busan, South Korea, known for its residential zones and local commercial facilities.
  • C. Seongho-dong
    Seongho-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • D. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce4a5108190aede620d5dde1f81 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea46511dc81908168a042bea2ca0d completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:25 p.m.