Temple Beth David
E181021
Temple Beth David is a Jewish synagogue serving the local community in Commack, New York.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Temple Beth David canonical | 1 |
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
Jewish congregation
ⓘ
synagogue ⓘ |
| buildingUse |
Jewish education
ⓘ
community events ⓘ religious services ⓘ |
| country | United States of America ⓘ |
| denomination | Reform Judaism ⓘ |
| hasCulturalContext | American Judaism ⓘ |
| hasFacilityType | house of worship ⓘ |
| hasFeature |
classrooms
ⓘ
sanctuary ⓘ social hall ⓘ |
| hasLanguageOfWorship |
English
ⓘ
Hebrew ⓘ |
| locatedIn |
Commack, New York
ⓘ
Long Island ⓘ Suffolk County, New York ⓘ |
| offers |
adult education programs
ⓘ
bar and bat mitzvah preparation ⓘ community outreach programs ⓘ holiday services ⓘ life‑cycle events ⓘ religious school ⓘ |
| religion | Judaism ⓘ |
| serves | local Jewish community in Commack, New York ⓘ |
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: Temple Beth David Description of subject: Temple Beth David is a Jewish synagogue serving the local community in Commack, New York.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.