Triple

T14814316
Position Surface form Disambiguated ID Type / Status
Subject Seongbuk District E348269 entity
Predicate contains P35 FINISHED
Object Anam-dong E1006880 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: Anam-dong | Statement: [Seongbuk District, contains, Anam-dong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anam-dong
Context triple: [Seongbuk District, contains, Anam-dong]
  • A. Anam-dong chosen
    Anam-dong is a neighborhood in Seoul, South Korea, best known as the home of Korea University's main Anam Campus and its surrounding student-centered community.
  • B. Osan-dong
    Osan-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea, functioning as a local administrative and residential area.
  • C. Hwanghak-dong
    Hwanghak-dong is a neighborhood in central Seoul, South Korea, known for its traditional flea markets and dense urban streetscape.
  • D. Banghwa-dong
    Banghwa-dong is a neighborhood in Seoul, South Korea, known for its residential character and proximity to Gimpo International Airport.
  • E. Cheonghak-dong
    Cheonghak-dong is a neighborhood (dong) located within Dong-gu, one of the central districts of 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe0e89c81908c0e1fe2bc3ebcfc completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec12de8819097cd83530e54f54b completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 1:48 a.m.