Allegany, New York
E783064
Allegany, New York is a small town in Cattaraugus County best known as the home of St. Bonaventure University.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Allegany, New York canonical | 1 |
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf | town ⓘ |
| adjacentTo |
Cuba, New York
NERFINISHED
ⓘ
Great Valley, New York NERFINISHED ⓘ Humphrey, New York NERFINISHED ⓘ Limestone, New York NERFINISHED ⓘ Olean, New York NERFINISHED ⓘ Portville, New York NERFINISHED ⓘ |
| containsSettlement |
Allegany (village), New York
NERFINISHED
ⓘ
Chipmonk, New York NERFINISHED ⓘ Four Mile, New York NERFINISHED ⓘ Knapp Creek, New York NERFINISHED ⓘ St. Bonaventure, New York NERFINISHED ⓘ Westons Mills, New York NERFINISHED ⓘ |
| country | United States of America ⓘ |
| county | Cattaraugus County, New York NERFINISHED ⓘ |
| FIPS code | 36-012-01263 ⓘ |
| GNISfeatureID | 942307 ⓘ |
| governmentType | town council ⓘ |
| hasAreaCode | 716 ⓘ |
| hasEducationalInstitution | Allegany-Limestone Central School District NERFINISHED ⓘ |
| hasFeature |
college town character
ⓘ
rural residential areas ⓘ |
| hasLandUse |
agricultural
ⓘ
commercial ⓘ forested areas ⓘ residential ⓘ |
| hasLatitude | approximately 42.09°N ⓘ |
| hasLongitude | approximately 78.50°W ⓘ |
| hasPostalCode | 14706 ⓘ |
| hasUniversity | St. Bonaventure University NERFINISHED ⓘ |
| isHomeOf | St. Bonaventure University NERFINISHED ⓘ |
| locatedInMetropolitanArea | Olean, New York micropolitan area NERFINISHED ⓘ |
| locatedInRegion | Western New York NERFINISHED ⓘ |
| locatedInTimeZone | Eastern Time Zone ⓘ |
| locatedNear | Allegheny National Forest (Pennsylvania) NERFINISHED ⓘ |
| locatedOnRiver | Allegheny River NERFINISHED ⓘ |
| namedAfter | Allegheny River NERFINISHED ⓘ |
| partOf | Cattaraugus County, New York NERFINISHED ⓘ |
| state | New York ⓘ |
| timeZoneDST |
Eastern Time Zone
ⓘ
surface form:
Eastern Daylight Time
|
| traversedBy |
Interstate 86
NERFINISHED
ⓘ
New York State Route 417 NERFINISHED ⓘ U.S. Route 219 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: Allegany, New York Description of subject: Allegany, New York is a small town in Cattaraugus County best known as the home of St. Bonaventure University.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.