Al-Furat University (campus)
E376676
Al-Furat University (campus) is a public higher education institution serving students in the city of Deir ez-Zor in eastern Syria.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Al-Furat University (campus) canonical | 1 |
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
higher education institution
ⓘ
public university campus ⓘ |
| city | Deir ez-Zor ⓘ |
| country | Syria ⓘ |
| languageOfInstruction | Arabic ⓘ |
| locatedIn |
Deir ez-Zor
ⓘ
surface form:
Deir ez-Zor Governorate
Eastern Syria ⓘ
surface form:
eastern Syria
|
| offers |
graduate programs
ⓘ
undergraduate programs ⓘ |
| operatedBy | Al-Furat University ⓘ |
| partOf | Al-Furat University ⓘ |
| regionServed |
Eastern Syria
ⓘ
surface form:
eastern Syria
|
| sector | public ⓘ |
| serves |
local students in Deir ez-Zor
ⓘ
students from eastern Syria ⓘ |
| typeOfInstitution | public higher education institution ⓘ |
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: Al-Furat University (campus) Description of subject: Al-Furat University (campus) is a public higher education institution serving students in the city of Deir ez-Zor in eastern Syria.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.