Triple

T7953303
Position Surface form Disambiguated ID Type / Status
Subject Gwangalli E184666 entity
Predicate governingBody P46 FINISHED
Object Suyeong-gu Office E693254 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: Suyeong-gu Office | Statement: [Gwangalli, governingBody, Suyeong-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suyeong-gu Office
Context triple: [Gwangalli, governingBody, Suyeong-gu Office]
  • A. Suyeong-gu Office chosen
    Suyeong-gu Office is the local government administrative body responsible for managing public services and municipal affairs in Suyeong District of 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. 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. 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.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5e51c88190abcc0534723e3660 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe05d89a08190ae5bd4092d007442 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.