City Park
E891249
City Park is a central public green space and community gathering area located in Vergennes, Vermont.
All labels observed (1)
| Label | Occurrences |
|---|---|
| City Park canonical | 1 |
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
green space
ⓘ
public park ⓘ urban park ⓘ |
| access | public ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| hasAccessibility |
pedestrian-accessible
ⓘ
wheelchair-accessible ⓘ |
| hasFeature |
benches
ⓘ
landscaped areas ⓘ lawn ⓘ trees ⓘ walkways ⓘ |
| hasFunction |
community gathering area
ⓘ
public events venue ⓘ recreation area ⓘ |
| isCentralPublicSpaceOf | Vergennes, Vermont NERFINISHED ⓘ |
| locatedIn |
Addison County, Vermont
NERFINISHED
ⓘ
New England ⓘ Vergennes, Vermont NERFINISHED ⓘ Vermont ⓘ downtown Vergennes NERFINISHED ⓘ |
| usedFor |
community gatherings
ⓘ
informal recreation ⓘ outdoor relaxation ⓘ public celebrations ⓘ socializing ⓘ |
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: City Park Description of subject: City Park is a central public green space and community gathering area located in Vergennes, Vermont.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.