Triple

T14886589
Position Surface form Disambiguated ID Type / Status
Subject Jongno District E350135 entity
Predicate governingBody P46 FINISHED
Object Jongno-gu Office E533623 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-gu Office | Statement: [Jongno District, governingBody, Jongno-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jongno-gu Office
Context triple: [Jongno District, 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. Seongbuk-gu Office
    Seongbuk-gu Office is the main local government building and administrative headquarters serving Seoul’s Seongbuk District.
  • C. 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.
  • D. Gangseo-gu Office
    Gangseo-gu Office is the local government administrative body responsible for managing public services, development, and municipal affairs in Busan’s Gangseo District.
  • E. Geumjeong-gu Office
    Geumjeong-gu Office is the local government administrative body responsible for managing public services and municipal affairs in Geumjeong District 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.