B3130 road
E345666
The B3130 road is a minor route in North Somerset, England, connecting several villages and providing access between the outskirts of Bristol and surrounding rural areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| B3130 road canonical | 1 |
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
B road in England
ⓘ
road ⓘ |
| connectsTo |
outskirts of Bristol
ⓘ
rural areas of North Somerset ⓘ |
| country | England ⓘ |
| hasFunction |
connects several villages
ⓘ
provides access between Bristol outskirts and surrounding rural areas ⓘ |
| hasRoadNumber | B3130 ⓘ |
| locatedIn |
North Somerset
ⓘ
southwest England ⓘ
surface form:
South West England
|
| partOf | United Kingdom road network ⓘ |
| roadType | minor route ⓘ |
| surfaceType | paved road ⓘ |
| usedFor |
access to rural communities
ⓘ
local traffic ⓘ |
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: B3130 road Description of subject: The B3130 road is a minor route in North Somerset, England, connecting several villages and providing access between the outskirts of Bristol and surrounding rural areas.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.