Institute for Biocomplexity and Informatics
E1002071
The Institute for Biocomplexity and Informatics is a research center focused on complex biological systems and theoretical biology, known for work in areas such as complexity theory, evolution, and systems biology.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Institute for Biocomplexity and Informatics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12797715 — 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: Institute for Biocomplexity and Informatics Context triple: [Stuart Kauffman, employer, Institute for Biocomplexity and Informatics]
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A.
Institute for Complex Adaptive Matter
The Institute for Complex Adaptive Matter is a multidisciplinary research organization dedicated to understanding and advancing the science of complex, emergent, and adaptive phenomena in materials and matter.
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B.
Institute of Systems Biology
The Institute of Systems Biology is a research center at Universiti Kebangsaan Malaysia focused on integrative, interdisciplinary studies of biological systems using computational and experimental approaches.
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C.
Institute for Intelligent Systems
The Institute for Intelligent Systems is a research center at the University of Johannesburg focused on advancing artificial intelligence, machine learning, and related intelligent technologies.
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D.
Institute for Integrative Genome Biology
The Institute for Integrative Genome Biology is a research center focused on applying genomic, bioinformatic, and systems biology approaches to understand complex biological processes across diverse organisms.
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E.
Department of Complexity Science and Engineering
The Department of Complexity Science and Engineering is an academic unit specializing in the interdisciplinary study and modeling of complex systems across natural, social, and engineered domains.
- 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: Institute for Biocomplexity and Informatics Target entity description: The Institute for Biocomplexity and Informatics is a research center focused on complex biological systems and theoretical biology, known for work in areas such as complexity theory, evolution, and systems biology.
-
A.
Institute for Complex Adaptive Matter
The Institute for Complex Adaptive Matter is a multidisciplinary research organization dedicated to understanding and advancing the science of complex, emergent, and adaptive phenomena in materials and matter.
-
B.
Institute of Systems Biology
The Institute of Systems Biology is a research center at Universiti Kebangsaan Malaysia focused on integrative, interdisciplinary studies of biological systems using computational and experimental approaches.
-
C.
Institute for Intelligent Systems
The Institute for Intelligent Systems is a research center at the University of Johannesburg focused on advancing artificial intelligence, machine learning, and related intelligent technologies.
-
D.
Institute for Integrative Genome Biology
The Institute for Integrative Genome Biology is a research center focused on applying genomic, bioinformatic, and systems biology approaches to understand complex biological processes across diverse organisms.
-
E.
Department of Complexity Science and Engineering
The Department of Complexity Science and Engineering is an academic unit specializing in the interdisciplinary study and modeling of complex systems across natural, social, and engineered domains.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic research center
ⓘ
biological research institute ⓘ research institute ⓘ |
| aimsTo |
develop predictive models of biological systems
ⓘ
integrate theory and experiment in biology ⓘ understand principles of biological complexity ⓘ |
| collaboratesWith |
researchers in biology
ⓘ
researchers in computer science ⓘ researchers in mathematics ⓘ researchers in physics ⓘ |
| contributesTo |
development of computational tools for biology
ⓘ
quantitative understanding of evolution ⓘ theoretical foundations of systems biology ⓘ |
| educationalRole |
hosting seminars and workshops on biocomplexity
ⓘ
training of graduate students in theoretical and computational biology ⓘ |
| fieldOfWork |
biocomplexity
ⓘ
complex biological systems ⓘ complexity theory ⓘ computational biology ⓘ evolutionary biology ⓘ mathematical biology ⓘ systems biology NERFINISHED ⓘ theoretical biology ⓘ |
| focusesOn |
evolutionary dynamics
ⓘ
interdisciplinary research ⓘ modeling of complex biological systems ⓘ multi-scale biological modeling ⓘ network biology ⓘ nonlinear dynamics in biology ⓘ |
| hasApproach |
integration of computational and experimental methods
ⓘ
interdisciplinary collaboration between biologists and mathematicians ⓘ |
| researchArea |
ecological modeling
ⓘ
evolution of cooperation ⓘ genetic and genomic modeling ⓘ information processing in biological systems ⓘ origin and maintenance of complexity in evolution ⓘ population dynamics ⓘ |
| studies |
adaptation and evolutionary innovation
ⓘ
emergent properties in biological systems ⓘ evolutionary game theory applications in biology ⓘ robustness and stability of biological networks ⓘ self-organization in living systems ⓘ |
| usesMethod |
computational simulation
ⓘ
mathematical modeling ⓘ statistical analysis ⓘ theoretical analysis ⓘ |
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: Institute for Biocomplexity and Informatics Description of subject: The Institute for Biocomplexity and Informatics is a research center focused on complex biological systems and theoretical biology, known for work in areas such as complexity theory, evolution, and systems biology.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.