Triple
T14372110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoje |
E356381
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Yeongnam region |
E29096
|
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: Yeongnam region | Statement: [Geoje, partOf, Yeongnam region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeongnam region Context triple: [Geoje, partOf, Yeongnam region]
-
A.
Yeongnam region
chosen
The Yeongnam region is a major southeastern area of South Korea encompassing key cities such as Busan and Daegu, known for its dense population, industry, and distinct cultural identity.
-
B.
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.
-
C.
Chungcheong region
The Chungcheong region is a central area of South Korea known for its mix of agricultural plains, growing urban centers, and administrative significance.
-
D.
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.
-
E.
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.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bbf21a48190921e99685c7ef2b9 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:15 a.m.