Computer and Information Science Department, University of Pennsylvania
E499685
The Computer and Information Science Department at the University of Pennsylvania is a leading academic unit known for its research and education in computer science, artificial intelligence, and related fields within the School of Engineering and Applied Science.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T5170039 — 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: Computer and Information Science Department, University of Pennsylvania Context triple: [University of Pennsylvania Department of Linguistics, collaboratesWith, Computer and Information Science Department, University of Pennsylvania]
-
A.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
B.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
C.
School of Computer Science at Carnegie Mellon University
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
-
D.
Department of Computer Science, UCLA
The Department of Computer Science at UCLA is a leading academic and research department known for pioneering contributions to computer networking, algorithms, artificial intelligence, and systems within a top-tier public university.
-
E.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Computer and Information Science Department, University of Pennsylvania Target entity description: The Computer and Information Science Department at the University of Pennsylvania is a leading academic unit known for its research and education in computer science, artificial intelligence, and related fields within the School of Engineering and Applied Science.
-
A.
Computer Science Department, Carnegie Mellon University
The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
-
B.
Department of Computer Science, Rutgers University
The Department of Computer Science at Rutgers University is a major academic unit known for its research and education in areas such as algorithms, artificial intelligence, systems, and data science.
-
C.
School of Computer Science at Carnegie Mellon University
The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
-
D.
Department of Computer Science, UCLA
The Department of Computer Science at UCLA is a leading academic and research department known for pioneering contributions to computer networking, algorithms, artificial intelligence, and systems within a top-tier public university.
-
E.
Institute for Software Research, Carnegie Mellon University
The Institute for Software Research at Carnegie Mellon University is a leading academic center focused on research and education in software engineering, cybersecurity, privacy, and socio-technical systems.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf | academic department ⓘ |
| academicOrganizationType | department within engineering school ⓘ |
| affiliation | University of Pennsylvania NERFINISHED ⓘ |
| campus | University City campus NERFINISHED ⓘ |
| city | Philadelphia ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| fieldOfWork |
artificial intelligence
ⓘ
computational biology ⓘ computer science ⓘ computer vision ⓘ data science ⓘ human-computer interaction ⓘ information science ⓘ machine learning ⓘ programming languages ⓘ robotics ⓘ security and privacy ⓘ software engineering ⓘ systems and networking ⓘ theoretical computer science ⓘ |
| hasAbbreviation | CIS NERFINISHED ⓘ |
| hasDoctoralProgram | yes ⓘ |
| hasGraduateProgram | yes ⓘ |
| hasResearchFocus |
applied computer science
ⓘ
emerging areas in computing and information science ⓘ theoretical foundations of computing ⓘ |
| hasUndergraduateProgram | yes ⓘ |
| hasWebsite | https://www.cis.upenn.edu/ ⓘ |
| isInTimeZone | America/New_York NERFINISHED ⓘ |
| knownFor |
interdisciplinary research with engineering and applied science
ⓘ
research in artificial intelligence ⓘ research in computer science ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn | Philadelphia, Pennsylvania, United States NERFINISHED ⓘ |
| offersProgram |
Bachelor of Applied Science in Computer Science
ⓘ
Bachelor of Science in Engineering in Computer Science ⓘ Master of Science in Engineering in Computer and Information Science ⓘ PhD in Computer and Information Science ⓘ |
| parentOrganization | School of Engineering and Applied Science, University of Pennsylvania NERFINISHED ⓘ |
| partOf |
School of Engineering and Applied Science, University of Pennsylvania
NERFINISHED
ⓘ
University of Pennsylvania NERFINISHED ⓘ |
| sector | higher education ⓘ |
| state | Pennsylvania ⓘ |
| university | University of Pennsylvania NERFINISHED ⓘ |
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: Computer and Information Science Department, University of Pennsylvania Description of subject: The Computer and Information Science Department at the University of Pennsylvania is a leading academic unit known for its research and education in computer science, artificial intelligence, and related fields within the School of Engineering and Applied Science.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.