River Cover
E591529
River Cover is a small river in North Yorkshire, England, flowing through Coverdale before joining the River Ure.
All labels observed (1)
| Label | Occurrences |
|---|---|
| River Cover canonical | 2 |
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf | river ⓘ |
| country | England ⓘ |
| flowsInDirection | generally eastward ⓘ |
| flowsThrough | Coverdale NERFINISHED ⓘ |
| hasRegion | Coverdale NERFINISHED ⓘ |
| hasTributaryRole | left-bank tributary of the River Ure ⓘ |
| hasWatercourseType | small river ⓘ |
| locatedIn |
North Yorkshire
ⓘ
United Kingdom ⓘ Yorkshire Dales NERFINISHED ⓘ |
| locatedInHistoricCounty | Yorkshire NERFINISHED ⓘ |
| locatedInNationalPark | Yorkshire Dales National Park NERFINISHED ⓘ |
| mouthLocation | River Ure NERFINISHED ⓘ |
| riverSystem | River Ure basin ⓘ |
| tributaryOf | River Ure NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: River Cover Description of subject: River Cover is a small river in North Yorkshire, England, flowing through Coverdale before joining the River Ure.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.