Triple

T6730086
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Gwangju E153612 entity
Predicate hasJurisdiction P285 FINISHED
Object Gwangju Metropolitan City E28778 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: Gwangju Metropolitan City | Statement: [Mayor of Gwangju, hasJurisdiction, Gwangju Metropolitan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwangju Metropolitan City
Context triple: [Mayor of Gwangju, hasJurisdiction, Gwangju Metropolitan City]
  • A. Gwangju chosen
    Gwangju is a major metropolitan city in southwestern South Korea known for its rich cultural heritage and pivotal role in the country’s pro-democracy movement.
  • B. Daejeon
    Daejeon is a major city in central South Korea known as a hub for science, technology, and research institutions.
  • C. Sejong City
    Sejong City is South Korea’s planned administrative capital, designed to house numerous government ministries and ease congestion in Seoul.
  • D. Busan metropolitan area
    The Busan metropolitan area is a major South Korean urban and economic hub centered on the port city of Busan, known for its extensive transportation links, coastal location, and role as a key gateway for international trade.
  • E. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15591c8819082620d194eba3e9d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cde6789ec081909b051b8ce1bde35d completed April 2, 2026, 3:46 a.m.
Created at: March 27, 2026, 2:09 p.m.