Triple

T12158287
Position Surface form Disambiguated ID Type / Status
Subject Kangseo-gu E289635 entity
Predicate governingBody P46 FINISHED
Object Gangseo-gu Office E186144 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: Gangseo-gu Office | Statement: [Kangseo-gu, governingBody, Gangseo-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangseo-gu Office
Context triple: [Kangseo-gu, governingBody, Gangseo-gu Office]
  • A. Gangseo-gu Office chosen
    Gangseo-gu Office is the local administrative authority responsible for providing public services and managing municipal affairs in Seoul’s Gangseo District.
  • B. 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.
  • C. 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.
  • D. Seocho-gu Office
    Seocho-gu Office is the main administrative government building and district office serving Seoul’s Seocho District.
  • E. Suyeong-gu Office
    Suyeong-gu Office is the local government administrative body responsible for managing public services and municipal affairs in Suyeong 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c277e481908351bf4e664dda42 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.