School of Statistics and Actuarial Science

E727006
academic department university school

The School of Statistics and Actuarial Science is an academic department at the University of the Witwatersrand specializing in education and research in statistics, actuarial science, and related quantitative disciplines.

Try in SPARQL Jump to: Surface forms Statements Elicitation Referenced by

All labels observed (1)

Label Occurrences
School of Statistics and Actuarial Science canonical 1

Statements (36)

Predicate Object
instanceOf academic department ⓘ
university school ⓘ
academicDiscipline mathematical sciences ⓘ
affiliation Faculty of Science, University of the Witwatersrand NERFINISHED ⓘ
campus University of the Witwatersrand main campus NERFINISHED ⓘ
country South Africa ⓘ
fieldOfStudy actuarial science ⓘ
applied statistics ⓘ
data analysis ⓘ
probability theory ⓘ
quantitative finance ⓘ
risk management ⓘ
statistics ⓘ
focus education in actuarial science ⓘ
education in statistics ⓘ
quantitative research training ⓘ
languageOfInstruction English ⓘ
locatedIn Johannesburg, South Africa ⓘ
surface form: Johannesburg
offersProgram honours degree in actuarial science ⓘ
honours degree in statistics ⓘ
master’s degree in actuarial science ⓘ
master’s degree in statistics ⓘ
research degrees in actuarial science ⓘ
research degrees in statistics ⓘ
undergraduate degree in actuarial science ⓘ
undergraduate degree in statistics ⓘ
parentOrganization University of the Witwatersrand NERFINISHED ⓘ
partOf University of the Witwatersrand NERFINISHED ⓘ
regionServed Southern Africa ⓘ
researchActivity actuarial risk modelling ⓘ
applied probability ⓘ
biostatistics ⓘ
financial risk analysis ⓘ
statistical modelling ⓘ
sector higher education ⓘ
website https://www.wits.ac.za/ ⓘ

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: School of Statistics and Actuarial Science
Description of subject: The School of Statistics and Actuarial Science is an academic department at the University of the Witwatersrand specializing in education and research in statistics, actuarial science, and related quantitative disciplines.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Faculty of Science → hasUnit → School of Statistics and Actuarial Science ⓘ
subject surface form: Faculty of Science, University of the Witwatersrand