Department of Computer Science, Columbia University
E672055
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Computer Science, Columbia University canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7539999 — 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: Department of Computer Science, Columbia University Context triple: [Alfred V. Aho, workInstitution, Department of Computer Science, Columbia University]
-
A.
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.
-
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.
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.
-
D.
Department of Computer Science (RPI)
The Department of Computer Science at Rensselaer Polytechnic Institute is a leading academic unit known for research and education in areas such as algorithms, artificial intelligence, data science, and systems within RPI’s School of Science.
-
E.
Stanford Computer Science Department
The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
- 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: Department of Computer Science, Columbia University Target entity description: 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.
-
A.
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.
-
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.
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.
-
D.
Department of Computer Science (RPI)
The Department of Computer Science at Rensselaer Polytechnic Institute is a leading academic unit known for research and education in areas such as algorithms, artificial intelligence, data science, and systems within RPI’s School of Science.
-
E.
Stanford Computer Science Department
The Stanford Computer Science Department is a leading academic department at Stanford University renowned for its pioneering research and education in computer science and its close ties to Silicon Valley innovation.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf | academic department ⓘ |
| affiliatedWith | Fu Foundation School of Engineering and Applied Science NERFINISHED ⓘ |
| campus | Morningside Heights NERFINISHED ⓘ |
| city | New York City ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| employs | faculty members ⓘ |
| field | computer science ⓘ |
| hasStudentBody |
graduate students
ⓘ
undergraduate students ⓘ |
| hasWebsite | https://www.cs.columbia.edu/ ⓘ |
| knownFor |
interdisciplinary research in computing
ⓘ
research in artificial intelligence ⓘ research in computer systems ⓘ research in theoretical computer science ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
New York
NERFINISHED
ⓘ
New York City ⓘ United States of America ⓘ
surface form:
United States
|
| offersProgram |
Bachelor of Arts in Computer Science
ⓘ
Bachelor of Science in Computer Science ⓘ MS in Computer Engineering ⓘ MS in Computer Science – Foundations track NERFINISHED ⓘ MS in Computer Science – Machine Learning track NERFINISHED ⓘ MS in Computer Science – Natural Language Processing track ⓘ MS in Computer Science – Network Systems track ⓘ MS in Computer Science – Security track NERFINISHED ⓘ MS in Computer Science – Software Systems track ⓘ MS in Computer Science – Vision, Graphics, Interaction, and Robotics track NERFINISHED ⓘ Master of Science in Computer Science NERFINISHED ⓘ PhD in Computer Science ⓘ |
| partOf | Columbia University NERFINISHED ⓘ |
| researchArea |
artificial intelligence
ⓘ
computational biology ⓘ computer systems ⓘ computer vision ⓘ data science ⓘ graphics ⓘ interdisciplinary computing ⓘ machine learning ⓘ natural language processing ⓘ networking ⓘ robotics ⓘ security ⓘ software systems ⓘ theoretical computer science ⓘ |
| university | Columbia University 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.
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: Department of Computer Science, Columbia University Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.