Triple
T21308830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Savonia |
E525273
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | North Savonia |
—
|
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: North Savonia | Statement: [Southern Savonia, borders, North Savonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Savonia Context triple: [Southern Savonia, borders, North Savonia]
-
A.
Northern Savonia
chosen
Northern Savonia is a region in eastern Finland known for its lakes, forests, and the city of Kuopio as its main urban center.
-
B.
North Karelia
North Karelia is a region in eastern Finland known for its forests, lakes, and strong Karelian cultural heritage.
-
C.
Kainuu region
Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
-
D.
North Karelian
North Karelian is a major dialect of the Karelian language spoken primarily in the northern regions of Karelia, characterized by distinct phonological and lexical features.
-
E.
South Karelia
South Karelia is a region in southeastern Finland known for its lakeside landscapes, including parts of Lake Saimaa, and its proximity to the Russian border.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa916548190a11f8bb4255e3fed |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:06 p.m.