Department of Computer Science at Johns Hopkins University
E1045496
The Department of Computer Science at Johns Hopkins University is a leading academic and research department known for its contributions to algorithms, artificial intelligence, data science, and systems within a top-tier private research university.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Computer Science at Johns Hopkins University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13529846 — 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: Department of Computer Science at Johns Hopkins University Context triple: [S. Rao Kosaraju, memberOf, Department of Computer Science at Johns Hopkins University]
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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.
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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.
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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.
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D.
Department of Computer Science, Columbia University
The Department of Computer Science at Columbia University is a leading academic and research institution known for its contributions to theoretical computer science, systems, artificial intelligence, and interdisciplinary computing.
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E.
Department of Computer Science, Yale University
The Department of Computer Science at Yale University is a leading academic and research department known for its contributions to theoretical computer science, systems, and interdisciplinary computing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Department of Computer Science at Johns Hopkins University Target entity description: The Department of Computer Science at Johns Hopkins University is a leading academic and research department known for its contributions to algorithms, artificial intelligence, data science, and systems within a top-tier private research university.
-
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.
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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.
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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.
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D.
Department of Computer Science, Columbia University
The Department of Computer Science at Columbia University is a leading academic and research institution known for its contributions to theoretical computer science, systems, artificial intelligence, and interdisciplinary computing.
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E.
Department of Computer Science, Yale University
The Department of Computer Science at Yale University is a leading academic and research department known for its contributions to theoretical computer science, systems, and interdisciplinary computing.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
computer science department ⓘ |
| academicDiscipline | STEM ⓘ |
| affiliatedWith |
Johns Hopkins Center for Language and Speech Processing
NERFINISHED
ⓘ
Johns Hopkins Institute for Data Intensive Engineering and Science NERFINISHED ⓘ Johns Hopkins Malone Center for Engineering in Healthcare NERFINISHED ⓘ Johns Hopkins University Applied Physics Laboratory NERFINISHED ⓘ Whiting School of Engineering NERFINISHED ⓘ |
| campus | Homewood campus NERFINISHED ⓘ |
| country | United States of America ⓘ |
| employer |
computer science faculty
ⓘ
graduate research assistants ⓘ postdoctoral researchers in computer science ⓘ |
| fieldOfStudy | computer science ⓘ |
| follows | semester system ⓘ |
| hasAbbreviation |
CS@JHU
NERFINISHED
ⓘ
JHU CS NERFINISHED ⓘ |
| hasRanking | considered a leading computer science department in the United States ⓘ |
| hasWebsite | https://cs.jhu.edu/ ⓘ |
| knownFor |
interdisciplinary research collaborations
ⓘ
research in algorithms ⓘ research in artificial intelligence ⓘ research in computer systems ⓘ research in data science ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn | Baltimore, Maryland NERFINISHED ⓘ |
| offersDegree |
Bachelor of Arts in Computer Science
ⓘ
Bachelor of Science in Computer Science ⓘ Master of Science in Computer Science ⓘ PhD in Computer Science ⓘ |
| offersProgram |
computer science minor
ⓘ
graduate research program in computer science ⓘ undergraduate computer science major ⓘ |
| parentOrganization | Whiting School of Engineering NERFINISHED ⓘ |
| partOf | Johns Hopkins University NERFINISHED ⓘ |
| researchArea |
algorithms
ⓘ
artificial intelligence ⓘ computational biology ⓘ computer security ⓘ computer systems ⓘ data science ⓘ human-computer interaction ⓘ machine learning ⓘ natural language processing ⓘ robotics ⓘ theoretical computer science ⓘ |
| sector | private ⓘ |
| universityType | research university ⓘ |
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: Department of Computer Science at Johns Hopkins University Description of subject: The Department of Computer Science at Johns Hopkins University is a leading academic and research department known for its contributions to algorithms, artificial intelligence, data science, and systems within a top-tier private research university.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.