Graduate School of Data Science
E603054
The Graduate School of Data Science is a specialized KAIST program focused on advanced education and research in data science, including areas such as machine learning, big data analytics, and artificial intelligence.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Graduate School of Data Science canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6566536 — 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: Graduate School of Data Science Context triple: [KAIST, hasGraduateSchool, Graduate School of Data Science]
-
A.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
-
B.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
-
C.
School of Data and Computer Science
The School of Data and Computer Science is an academic unit of Sun Yat-sen University specializing in education and research in computer science, data science, and related technological fields.
-
D.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a specialized graduate faculty at Osaka University focused on advanced research and education in information science, computing, and related technologies.
-
E.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
- 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: Graduate School of Data Science Target entity description: The Graduate School of Data Science is a specialized KAIST program focused on advanced education and research in data science, including areas such as machine learning, big data analytics, and artificial intelligence.
-
A.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
-
B.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
-
C.
School of Data and Computer Science
The School of Data and Computer Science is an academic unit of Sun Yat-sen University specializing in education and research in computer science, data science, and related technological fields.
-
D.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a specialized graduate faculty at Osaka University focused on advanced research and education in information science, computing, and related technologies.
-
E.
Graduate School of Information Science and Technology
The Graduate School of Information Science and Technology is a leading research and education institution at the University of Tokyo specializing in advanced information science, computer science, and related technologies.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
data science school
ⓘ
graduate school ⓘ |
| academicDiscipline |
computer science
ⓘ
information science ⓘ statistics ⓘ |
| affiliation | KAIST College of Engineering NERFINISHED ⓘ |
| country | South Korea ⓘ |
| educationLevel | postgraduate ⓘ |
| emphasizes |
industry collaboration
ⓘ
interdisciplinary research ⓘ practical data-driven problem solving ⓘ |
| focusesOn |
artificial intelligence
ⓘ
big data analytics ⓘ data science ⓘ machine learning ⓘ |
| hasResearchArea |
applied AI
ⓘ
big data systems ⓘ data engineering ⓘ data mining ⓘ data visualization ⓘ data-driven decision making ⓘ deep learning ⓘ predictive analytics ⓘ |
| languageOfInstruction |
English
ⓘ
Korean ⓘ |
| locatedIn |
Daejeon
NERFINISHED
ⓘ
KAIST main campus ⓘ |
| mission |
advanced education in data science
ⓘ
research in data science ⓘ |
| offers |
doctoral programs
ⓘ
graduate programs ⓘ master’s programs ⓘ |
| partOf | KAIST NERFINISHED ⓘ |
| region | East Asia ⓘ |
| researchOutput |
AI and ML publications
ⓘ
academic papers in data science ⓘ |
| sector | higher education ⓘ |
| trains |
AI specialists
ⓘ
data scientists ⓘ machine learning engineers ⓘ |
| typeOfInstitution | public research university unit ⓘ |
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: Graduate School of Data Science Description of subject: The Graduate School of Data Science is a specialized KAIST program focused on advanced education and research in data science, including areas such as machine learning, big data analytics, and artificial intelligence.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.