Triple

T12000347
Position Surface form Disambiguated ID Type / Status
Subject Busan Jung District E285640 entity
Predicate contains P35 FINISHED
Object Donggwang-dong E690896 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: Donggwang-dong | Statement: [Busan Jung District, contains, Donggwang-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donggwang-dong
Context triple: [Busan Jung District, contains, Donggwang-dong]
  • A. Donggwang-dong chosen
    Donggwang-dong is a neighborhood (dong) located within Jung District in central Busan, South Korea, known for its urban setting and proximity to the city’s historic and commercial areas.
  • B. 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.
  • C. Yeocheon-dong
    Yeocheon-dong is a neighborhood in Ulsan, South Korea, known for encompassing the expansive Ulsan Grand Park.
  • D. Jangjeon-dong
    Jangjeon-dong is a neighborhood in Busan, South Korea, known as an administrative and residential center within Geumjeong District.
  • E. Beomjeon-dong
    Beomjeon-dong is a neighborhood (dong) located within Busanjin District in Busan, South Korea.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c5e9fbc819097cf9550378eabee completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:46 p.m.