Triple

T5565992
Position Surface form Disambiguated ID Type / Status
Subject Seoul Special City E145879 entity
Predicate hasBusinessDistrict P459 FINISHED
Object Jongno E350135 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: Jongno | Statement: [Seoul Special City, hasBusinessDistrict, Jongno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jongno
Context triple: [Seoul Special City, hasBusinessDistrict, Jongno]
  • A. Cheongdam-dong
    Cheongdam-dong is an affluent neighborhood in Seoul known for its luxury boutiques, high-end residences, and trendy cafes and galleries.
  • B. Jongno District chosen
    Jongno District is a central historic and administrative area of Seoul, South Korea, known for its government institutions, cultural landmarks, and traditional neighborhoods.
  • C. Yeouido-dong
    Yeouido-dong is a major financial and business district in Seoul, South Korea, known for its skyscrapers, corporate headquarters, and role as a political and economic hub.
  • D. Yangjeong-dong
    Yangjeong-dong is a neighborhood (dong) located within Busanjin District in the city of Busan, South Korea.
  • E. Cheongnyong-dong
    Cheongnyong-dong is a neighborhood located within Geumjeong 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02034fc3081908920c52a19d462e1 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097bd26e08190a687a08323f1400a completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:36 p.m.