Universidade Federal do Vale do São Francisco
E534365
A Brazilian federal public university located in the São Francisco Valley region, known for serving the semi-arid Northeast with programs in areas such as agrarian sciences, health, and engineering.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Universidade Federal do Vale do São Francisco canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5568841 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Universidade Federal do Vale do São Francisco Context triple: [Petrolina, hasHigherEducationInstitution, Universidade Federal do Vale do São Francisco]
-
A.
Federal University of Western Pará
The Federal University of Western Pará is a Brazilian public higher education and research institution located in the Amazonian city of Santarém, serving as a key center for regional development and environmental studies.
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B.
São Paulo State University
São Paulo State University is a major Brazilian public university system known for its multiple campuses across the state of São Paulo and its strong emphasis on research and higher education.
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C.
Universidade Católica de Santos
Universidade Católica de Santos is a private Catholic university in the coastal city of Santos, Brazil, known for its programs in areas such as law, health sciences, and humanities.
-
D.
University of Recife
The University of Recife was a Brazilian higher education institution in Pernambuco known for its role in mid-20th-century academic and intellectual life, particularly in the social and human sciences.
-
E.
Federal University of Mato Grosso
The Federal University of Mato Grosso is a major Brazilian public university and research institution headquartered in the state of Mato Grosso.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Universidade Federal do Vale do São Francisco Target entity description: A Brazilian federal public university located in the São Francisco Valley region, known for serving the semi-arid Northeast with programs in areas such as agrarian sciences, health, and engineering.
-
A.
Federal University of Western Pará
The Federal University of Western Pará is a Brazilian public higher education and research institution located in the Amazonian city of Santarém, serving as a key center for regional development and environmental studies.
-
B.
São Paulo State University
São Paulo State University is a major Brazilian public university system known for its multiple campuses across the state of São Paulo and its strong emphasis on research and higher education.
-
C.
Universidade Católica de Santos
Universidade Católica de Santos is a private Catholic university in the coastal city of Santos, Brazil, known for its programs in areas such as law, health sciences, and humanities.
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D.
University of Recife
The University of Recife was a Brazilian higher education institution in Pernambuco known for its role in mid-20th-century academic and intellectual life, particularly in the social and human sciences.
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E.
Federal University of Mato Grosso
The Federal University of Mato Grosso is a major Brazilian public university and research institution headquartered in the state of Mato Grosso.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Brazilian university
ⓘ
federal university ⓘ public university ⓘ |
| city |
Juazeiro
NERFINISHED
ⓘ
Paulo Afonso NERFINISHED ⓘ Petrolina NERFINISHED ⓘ Salvador NERFINISHED ⓘ Senhor do Bonfim NERFINISHED ⓘ São Raimundo Nonato NERFINISHED ⓘ |
| continent | South America ⓘ |
| country | Brazil ⓘ |
| focusArea |
agrarian sciences
ⓘ
biological sciences ⓘ computer science ⓘ education ⓘ engineering ⓘ environmental sciences ⓘ health sciences ⓘ humanities ⓘ irrigated agriculture ⓘ public health ⓘ renewable energy ⓘ social sciences ⓘ veterinary medicine ⓘ zootecnia ⓘ |
| fundingType | federal ⓘ |
| languageOfInstruction | Portuguese ⓘ |
| locatedInRegion |
Vale do São Francisco
NERFINISHED
ⓘ
semi-arid Northeast Brazil ⓘ |
| mission |
promote regional development in the São Francisco Valley
ⓘ
serve the semi-arid Northeast region of Brazil ⓘ |
| nativeName | Universidade Federal do Vale do São Francisco NERFINISHED ⓘ |
| offers |
extension programs
ⓘ
graduate programs ⓘ undergraduate programs ⓘ |
| publicInstitution | true ⓘ |
| researchFocus |
family farming
ⓘ
public policies for the Northeast ⓘ semi-arid ecosystems ⓘ water resources management ⓘ |
| sector | public ⓘ |
| shortName | UNIVASF NERFINISHED ⓘ |
| state |
Bahia
NERFINISHED
ⓘ
Pernambuco NERFINISHED ⓘ Piauí NERFINISHED ⓘ |
| typeOfInstitution | 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.
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.
Subject: Universidade Federal do Vale do São Francisco Description of subject: A Brazilian federal public university located in the São Francisco Valley region, known for serving the semi-arid Northeast with programs in areas such as agrarian sciences, health, and engineering.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.