Triple

T6570334
Position Surface form Disambiguated ID Type / Status
Subject Yeonsu District E155416 entity
Predicate governingBody P46 FINISHED
Object Yeonsu-gu Office E603182 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: Yeonsu-gu Office | Statement: [Yeonsu District, governingBody, Yeonsu-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeonsu-gu Office
Context triple: [Yeonsu District, governingBody, Yeonsu-gu Office]
  • A. Yeonsu-gu Office chosen
    Yeonsu-gu Office is the main local government building and administrative headquarters serving Yeonsu District in Incheon, South Korea.
  • B. 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.
  • 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. Jongno-gu Office
    Jongno-gu Office is the main local government building and administrative headquarters serving the Jongno District in central Seoul, South Korea.
  • E. Seocho-gu Office
    Seocho-gu Office is the main administrative government building and district office serving Seoul’s Seocho District.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5791e881909d0b340aa63c6223 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4275eec8190ba52fa4fb1bc64db completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:53 p.m.