Triple

T22350087
Position Surface form Disambiguated ID Type / Status
Subject Samcheong-dong E552503 entity
Predicate governingBody P46 FINISHED
Object Jongno-gu Office NE NERFINISHED

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-gu Office | Statement: [Samcheong-dong, governingBody, Jongno-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jongno-gu Office
Context triple: [Samcheong-dong, governingBody, Jongno-gu Office]
  • A. Jongno-gu Office chosen
    Jongno-gu Office is the main local government building and administrative headquarters serving the Jongno District in central Seoul, South Korea.
  • B. Songpa-gu Office
    Songpa-gu Office is the local government administrative body responsible for managing public services, policies, and development in Seoul’s Songpa District.
  • C. Seongbuk-gu Office
    Seongbuk-gu Office is the main local government building and administrative headquarters serving Seoul’s Seongbuk District.
  • D. Yongsan-gu Office
    Yongsan-gu Office is the main local government building and administrative center serving Seoul’s Yongsan District.
  • E. Gangseo-gu Office
    Gangseo-gu Office is the local administrative authority responsible for providing public services and managing municipal affairs in Seoul’s Gangseo District.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579ad6708190ba4af97a02d0758d completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.