Triple
T12969762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirkanmaa |
E321361
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Valkeakoski |
E758028
|
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: Valkeakoski | Statement: [Pirkanmaa, hasCity, Valkeakoski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valkeakoski Context triple: [Pirkanmaa, hasCity, Valkeakoski]
-
A.
Valkeakoski
chosen
Valkeakoski is a town and municipality in the Pirkanmaa region of southern Finland, known for its paper industry and lakeside setting.
-
B.
Vaajakoski
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
-
C.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
D.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
E.
Kokemäki
Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e407e5081909424fc0c22483c28 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7265d09d881909c21423d93af39cd |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 8:34 p.m.