Doctoral Networks
E298959
Doctoral Networks are European Union–funded collaborative doctoral training programs under the Marie Skłodowska‑Curie Actions that support international, interdisciplinary, and intersectoral PhD research and training.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Doctoral Networks canonical | 1 |
| Industrial Doctoral Networks | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2793865 — 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: Doctoral Networks Context triple: [Marie Skłodowska‑Curie Actions, fundingInstrument, Doctoral Networks]
-
A.
Worldwide Universities Network
The Worldwide Universities Network is a global alliance of research-intensive universities that collaborate on international education, research, and knowledge exchange.
-
B.
Global Network for Advanced Management
The Global Network for Advanced Management is an international alliance of leading business schools that collaborates on management education, research, and global experiential learning.
-
C.
Global Alliance of Technological Universities
The Global Alliance of Technological Universities is an international consortium of leading research-intensive science and engineering universities that collaborate on education, innovation, and global technological challenges.
-
D.
NARIC Network
The NARIC Network is a European network of national centers that provide information and guidance on the recognition of foreign diplomas, degrees, and other academic qualifications.
-
E.
International Alliance of Research Universities
The International Alliance of Research Universities is a global consortium of leading research-intensive universities that collaborate on education, research, and addressing major international challenges.
- 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: Doctoral Networks Target entity description: Doctoral Networks are European Union–funded collaborative doctoral training programs under the Marie Skłodowska‑Curie Actions that support international, interdisciplinary, and intersectoral PhD research and training.
-
A.
Worldwide Universities Network
The Worldwide Universities Network is a global alliance of research-intensive universities that collaborate on international education, research, and knowledge exchange.
-
B.
Global Network for Advanced Management
The Global Network for Advanced Management is an international alliance of leading business schools that collaborates on management education, research, and global experiential learning.
-
C.
Global Alliance of Technological Universities
The Global Alliance of Technological Universities is an international consortium of leading research-intensive science and engineering universities that collaborate on education, innovation, and global technological challenges.
-
D.
NARIC Network
The NARIC Network is a European network of national centers that provide information and guidance on the recognition of foreign diplomas, degrees, and other academic qualifications.
-
E.
International Alliance of Research Universities
The International Alliance of Research Universities is a global consortium of leading research-intensive universities that collaborate on education, research, and addressing major international challenges.
- F. None of above. chosen
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
European Union funding instrument
ⓘ
Marie Skłodowska-Curie Actions scheme ⓘ doctoral training programme ⓘ |
| administeredBy |
European Commission
ⓘ
European Research Executive Agency ⓘ |
| aimsTo |
enhance researchers’ employability
ⓘ
strengthen human capital in R&I in Europe ⓘ train creative researchers ⓘ |
| doctoralContractDuration | typically 36 months per doctoral candidate ⓘ |
| duration | typically 4 years for the project ⓘ |
| eligibleParticipants |
companies
ⓘ
consortia of organisations ⓘ non-academic organisations ⓘ research institutions ⓘ universities ⓘ |
| evaluationCriteria |
excellence
ⓘ
impact ⓘ quality and efficiency of the implementation ⓘ |
| fundedBy | European Union ⓘ |
| fundedUnder | Horizon Europe Framework Programme ⓘ |
| fundingCovers |
family allowance (subject to conditions)
ⓘ
management and indirect costs ⓘ mobility allowance ⓘ research, training and networking costs ⓘ researchers’ living allowance ⓘ |
| geographicalScope |
EU Member States
ⓘ
linked to:
Member States of the European Union
Horizon Europe Associated Countries ⓘ |
| hasSubType |
Industrial Doctoral Networks
ⓘ
linked to:
Doctoral Networks
Joint Doctoral Networks ⓘ Standard Doctoral Networks ⓘ |
| industrialDoctoralNetworksFeature | joint supervision by academic and non-academic partners ⓘ |
| jointDoctoralNetworksFeature | joint, double or multiple doctoral degrees ⓘ |
| mobilityRule | researchers must not have resided or carried out main activity in host country for more than 12 months in the 36 months before recruitment ⓘ |
| offers |
doctoral candidate positions
ⓘ
interdisciplinary supervision ⓘ international mobility opportunities ⓘ intersectoral secondments ⓘ research training ⓘ transferable skills training ⓘ |
| partOf |
Horizon Europe
ⓘ
Marie Skłodowska-Curie Actions ⓘ
linked to:
Marie Skłodowska‑Curie Actions
|
| predecessorProgramme |
Innovative Training Networks
ⓘ
linked to:
Marie Skłodowska‑Curie Actions
|
| replaced |
Innovative Training Networks
ⓘ
linked to:
Marie Skłodowska‑Curie Actions
|
| requires |
at least three independent legal entities
ⓘ
beneficiaries from different EU Member States or Horizon Europe Associated Countries ⓘ |
| successorTo | Innovative Training Networks under Horizon 2020 ⓘ |
| supports |
PhD research
ⓘ
doctoral training ⓘ interdisciplinary research ⓘ international mobility of researchers ⓘ intersectoral collaboration ⓘ |
| targets | doctoral candidates ⓘ |
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: Doctoral Networks Description of subject: Doctoral Networks are European Union–funded collaborative doctoral training programs under the Marie Skłodowska‑Curie Actions that support international, interdisciplinary, and intersectoral PhD research and training.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Doctoral Networks