ENSAE Paris
E332503
ENSAE Paris is a leading French grande école specializing in statistics, economics, data science, and quantitative social sciences.
All labels observed (3)
| Label | Occurrences |
|---|---|
| ENSAE Paris canonical | 2 |
| ENSAE | 1 |
| École nationale de la statistique et de l’administration économique | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3137722 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENSAE Paris Context triple: [Institut Polytechnique de Paris, hasMember, ENSAE Paris]
-
A.
ESSEC Business School
ESSEC Business School is a leading French grande école and international business school renowned for its elite management programs and strong ties to the corporate world.
-
B.
ESIEE Paris
ESIEE Paris is a French engineering school known for its strong programs in electronics, computer science, and related technologies.
-
C.
Conférence des grandes écoles
Conférence des grandes écoles is a French association that groups together the country’s most prestigious higher education institutions, particularly elite engineering and business schools.
-
D.
Université Paris 2 Panthéon-Assas
Université Paris 2 Panthéon-Assas is a prestigious French public university in Paris renowned for its programs in law, political science, economics, and social sciences.
-
E.
Sciences Po
Sciences Po is a prestigious French university renowned for its programs in political science, international relations, and social sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ENSAE Paris Target entity description: ENSAE Paris is a leading French grande école specializing in statistics, economics, data science, and quantitative social sciences.
-
A.
ESSEC Business School
ESSEC Business School is a leading French grande école and international business school renowned for its elite management programs and strong ties to the corporate world.
-
B.
ESIEE Paris
ESIEE Paris is a French engineering school known for its strong programs in electronics, computer science, and related technologies.
-
C.
Conférence des grandes écoles
Conférence des grandes écoles is a French association that groups together the country’s most prestigious higher education institutions, particularly elite engineering and business schools.
-
D.
Université Paris 2 Panthéon-Assas
Université Paris 2 Panthéon-Assas is a prestigious French public university in Paris renowned for its programs in law, political science, economics, and social sciences.
-
E.
Sciences Po
Sciences Po is a prestigious French university renowned for its programs in political science, international relations, and social sciences.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
French public higher education institution
ⓘ
Grande école ⓘ engineering school ⓘ |
| acronym |
ENSAE
ⓘ
linked to:
ENSAE Paris
|
| admissionFrom |
Classes préparatoires
ⓘ
university graduates ⓘ |
| affiliation |
GENES
ⓘ
Institut Polytechnique de Paris ⓘ Paris-Saclay University ecosystem ⓘ |
| campus |
Paris-Saclay campus
ⓘ
linked to:
Université Paris-Saclay
|
| country | France ⓘ |
| formerName |
École nationale de la statistique et de l’administration économique
ⓘ
linked to:
ENSAE Paris
|
| foundedBy | INSEE ⓘ |
| hasAlumniType |
actuaries
ⓘ
data scientists ⓘ economists ⓘ financial engineers ⓘ statisticians ⓘ |
| hasProgram |
doctoral tracks in economics and statistics
ⓘ
engineering degree in statistics and economics ⓘ master’s programs ⓘ |
| languageOfInstruction |
English
ⓘ
French ⓘ |
| locatedIn |
Palaiseau
NERFINISHED
ⓘ
Île-de-France ⓘ
linked to:
Île-de-France region
|
| notableFor |
strong quantitative curriculum
ⓘ
training French government statisticians and economists ⓘ |
| offersDegree |
Diplôme d’ingénieur
ⓘ
Master’s degree ⓘ PhD track ⓘ |
| operatedBy | INSEE ⓘ |
| ownership | public ⓘ |
| parentOrganization | Groupe des écoles nationales d’économie et statistique ⓘ |
| regionServed | France ⓘ |
| researchFocus |
applied mathematics
ⓘ
economics ⓘ finance ⓘ social sciences ⓘ statistics ⓘ |
| sector | higher education ⓘ |
| selectionType | competitive entrance examination ⓘ |
| specializesIn |
actuarial science
ⓘ
data science ⓘ econometrics ⓘ economics ⓘ finance ⓘ machine learning ⓘ quantitative social sciences ⓘ statistics ⓘ |
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: ENSAE Paris Description of subject: ENSAE Paris is a leading French grande école specializing in statistics, economics, data science, and quantitative social sciences.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: ENSAE Paris
linked to: ENSAE Paris