Feldspar Brook Trail
E215743
Feldspar Brook Trail is a hiking path that follows and crosses Feldspar Brook, offering access to the surrounding natural scenery.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Feldspar Brook Trail canonical | 2 |
Statements (18)
| Predicate | Object |
|---|---|
| instanceOf |
hiking trail
ⓘ
recreational footpath ⓘ |
| accesses | surrounding natural areas ⓘ |
| allowsActivity | walking ⓘ |
| crosses | Feldspar Brook ⓘ |
| follows | Feldspar Brook ⓘ |
| hasAttraction |
forest scenery
ⓘ
watercourse views ⓘ |
| hasEnvironment | riparian corridor ⓘ |
| hasFeature |
brookside views
ⓘ
natural scenery ⓘ stream crossings ⓘ |
| locatedNear | Feldspar Brook ⓘ |
| namedAfter | Feldspar Brook ⓘ |
| routeType | linear trail ⓘ |
| terrainType | natural surface ⓘ |
| typicalUse | day hiking ⓘ |
| usedFor | hiking ⓘ |
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: Feldspar Brook Trail Description of subject: Feldspar Brook Trail is a hiking path that follows and crosses Feldspar Brook, offering access to the surrounding natural scenery.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.