Triple

T6696996
Position Surface form Disambiguated ID Type / Status
Subject Jung District E152773 entity
Predicate governingBody P46 FINISHED
Object Jung-gu Office E610575 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: Jung-gu Office | Statement: [Jung District, governingBody, Jung-gu Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jung-gu Office
Context triple: [Jung District, governingBody, Jung-gu Office]
  • A. 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.
  • 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. Yeonsu-gu Office
    Yeonsu-gu Office is the main local government building and administrative headquarters serving Yeonsu District in Incheon, South Korea.
  • D. Jung-gu Office, Incheon chosen
    Jung-gu Office, Incheon is the main local government building that houses the administrative functions and public services for Incheon's Jung 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a4da9881908d79c410b4cff868 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007f2a648190a10792840536035b completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:05 p.m.