CSIC
E253891
CSIC is a research center at the University of Cambridge focused on advancing smart infrastructure and construction through innovative sensing, data, and engineering technologies.
All labels observed (2)
| Label | Occurrences |
|---|---|
| CSIC canonical | 2 |
| Spanish National Research Council | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2301160 — 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: CSIC Context triple: [Cambridge Centre for Smart Infrastructure and Construction, shortName, CSIC]
-
A.
University of La Laguna
The University of La Laguna is a public higher education and research institution located in the Canary Islands, Spain, known as one of the country’s oldest universities.
-
B.
ERC Scientific Council
The ERC Scientific Council is the independent governing body of the European Research Council, responsible for setting its scientific strategy and ensuring the quality and autonomy of its research funding.
-
C.
University of Granada
The University of Granada is a major public research university in southern Spain, renowned for its historic campus, large international student population, and strong programs in humanities, sciences, and technology.
-
D.
University of Málaga
The University of Málaga is a public higher education and research institution located in the city of Málaga in southern Spain.
-
E.
Cuban Academy of Sciences
The Cuban Academy of Sciences is Cuba’s national scientific institution, responsible for promoting research, advising the government on science and technology policy, and fostering collaboration across scientific disciplines.
- 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: CSIC Target entity description: CSIC is a research center at the University of Cambridge focused on advancing smart infrastructure and construction through innovative sensing, data, and engineering technologies.
-
A.
University of La Laguna
The University of La Laguna is a public higher education and research institution located in the Canary Islands, Spain, known as one of the country’s oldest universities.
-
B.
ERC Scientific Council
The ERC Scientific Council is the independent governing body of the European Research Council, responsible for setting its scientific strategy and ensuring the quality and autonomy of its research funding.
-
C.
University of Granada
The University of Granada is a major public research university in southern Spain, renowned for its historic campus, large international student population, and strong programs in humanities, sciences, and technology.
-
D.
University of Málaga
The University of Málaga is a public higher education and research institution located in the city of Málaga in southern Spain.
-
E.
Cuban Academy of Sciences
The Cuban Academy of Sciences is Cuba’s national scientific institution, responsible for promoting research, advising the government on science and technology policy, and fostering collaboration across scientific disciplines.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
academic research group
ⓘ
research centre ⓘ |
| acronym | CSIC ⓘ |
| affiliation |
University of Cambridge
ⓘ
linked to:
Cambridge University
|
| aim |
to enable data-informed decision making in infrastructure projects
ⓘ
to improve resilience and sustainability of infrastructure ⓘ to transform the design, construction and operation of infrastructure ⓘ |
| city |
Cambridge
ⓘ
linked to:
CAMBRIDGE
|
| collaboratesWith |
government bodies
ⓘ
industry partners ⓘ infrastructure owners ⓘ |
| country | United Kingdom ⓘ |
| field |
civil engineering
ⓘ
construction ⓘ infrastructure engineering ⓘ smart infrastructure ⓘ |
| focus |
asset management
ⓘ
data-driven infrastructure management ⓘ engineering technologies for construction ⓘ innovative sensing technologies ⓘ performance-based design of infrastructure ⓘ structural health monitoring ⓘ |
| fullName | Centre for Smart Infrastructure and Construction ⓘ |
| output |
best-practice frameworks for smart infrastructure
ⓘ
demonstration projects ⓘ industry guidance ⓘ research publications ⓘ |
| partOf |
University of Cambridge
ⓘ
linked to:
Cambridge University
|
| researchArea |
data analytics for construction
ⓘ
digital twins for infrastructure ⓘ monitoring of bridges and tunnels ⓘ sensing for infrastructure ⓘ smart cities and infrastructure systems ⓘ whole-life performance of infrastructure assets ⓘ |
| sector |
construction industry
ⓘ
higher education ⓘ |
| usesTechnology |
data analytics
ⓘ
machine learning for infrastructure data ⓘ sensors ⓘ wireless sensor networks ⓘ |
| website | https://www-smartinfrastructure.eng.cam.ac.uk/ ⓘ |
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: CSIC Description of subject: CSIC is a research center at the University of Cambridge focused on advancing smart infrastructure and construction through innovative sensing, data, and engineering technologies.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: CSIC