Triple

T19899822
Position Surface form Disambiguated ID Type / Status
Subject Gunsan E478252 entity
Predicate locatedInRegion P40 FINISHED
Object Honam region NE NERFINISHED

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: Honam region | Statement: [Gunsan, locatedInRegion, Honam region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honam region
Context triple: [Gunsan, locatedInRegion, Honam region]
  • A. Honam region chosen
    The Honam region is a southwestern area of South Korea traditionally encompassing the provinces of Jeolla and the city of Gwangju, known for its rich agriculture, distinct culture, and strong democratic activism.
  • B. Sudogwon region
    The Sudogwon region is the densely populated metropolitan area surrounding Seoul in northwestern South Korea, encompassing the capital and its major satellite cities.
  • C. Yeongseo region
    The Yeongseo region is a western inland area of Gangwon Province in South Korea, known for its mountainous terrain and distinct local culture.
  • D. Minho region
    The Minho region is a historic and culturally rich area in northwest Portugal, known for its lush green landscapes, traditional cuisine, and production of Vinho Verde wine.
  • E. Yeongdong region
    The Yeongdong region is an area on the eastern side of the Korean Peninsula, particularly in Gangwon Province, known for its coastal geography and distinct local culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.