Triple

T13335905
Position Surface form Disambiguated ID Type / Status
Subject Geoje-dong E317690 entity
Predicate governingBody P46 FINISHED
Object Yeonje District Office E1029844 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: Yeonje District Office | Statement: [Geoje-dong, governingBody, Yeonje District Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeonje District Office
Context triple: [Geoje-dong, governingBody, Yeonje District Office]
  • A. Yeonje District Office chosen
    Yeonje District Office is the main administrative and public service center governing Yeonje District in Busan, South Korea.
  • B. Yeonsu-gu Office
    Yeonsu-gu Office is the main local government building and administrative headquarters serving Yeonsu District in Incheon, South Korea.
  • 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. Seo-gu District Office
    Seo-gu District Office is the local government administrative body responsible for managing public services, policies, and regional affairs in the Seo-gu district of Daejeon, South Korea.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:30 p.m.