Lou Lodati Park
E587122
Lou Lodati Park is a neighborhood recreational park in Sunnyside, Queens, known for its sports facilities, playgrounds, and community green space.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lou Lodati Park canonical | 1 |
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf |
public park
ⓘ
urban park ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| hasFeature |
community green space
ⓘ
playgrounds ⓘ seating areas ⓘ sports facilities ⓘ walking paths ⓘ |
| hasTypeOfArea | outdoor public space ⓘ |
| hasUse |
children's play
ⓘ
community gatherings ⓘ recreation ⓘ |
| isAccessibleTo | general public ⓘ |
| locatedIn |
New York City
ⓘ
New York State NERFINISHED ⓘ Queens ⓘ Sunnyside, Queens NERFINISHED ⓘ |
| maintainedBy | New York City Department of Parks and Recreation NERFINISHED ⓘ |
| serves | Sunnyside neighborhood residents ⓘ |
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: Lou Lodati Park Description of subject: Lou Lodati Park is a neighborhood recreational park in Sunnyside, Queens, known for its sports facilities, playgrounds, and community green space.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.