Black Rock School
E748648
Black Rock School is a public elementary school serving young students in the town of Thomaston, Connecticut.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Black Rock School canonical | 1 |
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
public elementary school
ⓘ
school ⓘ |
| city | Thomaston NERFINISHED ⓘ |
| country | United States of America ⓘ |
| countrySubdivision | New England NERFINISHED ⓘ |
| educationLevel | elementary ⓘ |
| governingBody | Thomaston Public Schools NERFINISHED ⓘ |
| hasLanguageOfInstruction | English ⓘ |
| locatedIn | Thomaston Public Schools district NERFINISHED ⓘ |
| name | Black Rock School NERFINISHED ⓘ |
| region | Litchfield County, Connecticut NERFINISHED ⓘ |
| sector | public ⓘ |
| serves | elementary school students ⓘ |
| state | Connecticut ⓘ |
| town | Thomaston, Connecticut 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: Black Rock School Description of subject: Black Rock School is a public elementary school serving young students in the town of Thomaston, Connecticut.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.