Triple

T6061400
Position Surface form Disambiguated ID Type / Status
Subject Gangseo District, Seoul E135038 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: [Gangseo District, Seoul, governingBody, Gangseo-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangseo-gu Office
Context triple: [Gangseo District, Seoul, 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. Jongno-gu Office
    Jongno-gu Office is the main local government building and administrative headquarters serving the Jongno District in central Seoul, South Korea.
  • C. Yeongdeungpo-gu Office
    Yeongdeungpo-gu Office is the local district government administration for Yeongdeungpo-gu in Seoul, South Korea, overseeing public services, urban management, and community affairs.
  • D. Sasang-gu Office
    Sasang-gu Office is the local government administrative headquarters responsible for managing public services and municipal affairs in Sasang District, Busan, South Korea.
  • E. Dong-gu
    Dong-gu is a district-level administrative area within the metropolitan city of Daejeon in 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571fcecc8190a68e0d0668bbbfa7 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d197dd08190bcc6904c7c2e41aa completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:10 p.m.