Marcus and Amalia Wallenberg Foundation

E682147
private foundation research foundation

The Marcus and Amalia Wallenberg Foundation is a major Swedish private foundation that funds research and education, particularly in the humanities and social sciences, and is part of the philanthropic network associated with the Wallenberg family.

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All labels observed (1)

Label Occurrences
Marcus and Amalia Wallenberg Foundation canonical 1

Statements (46)

Predicate Object
instanceOf private foundation ⓘ
research foundation ⓘ
affiliation Wallenberg Foundations NERFINISHED ⓘ
Wallenberg family NERFINISHED ⓘ
beneficiary Swedish research institutes ⓘ
Swedish universities ⓘ
individual researchers ⓘ
country Sweden ⓘ
fieldOfWork archaeology ⓘ
economics ⓘ
education funding ⓘ
education science ⓘ
history ⓘ
humanities ⓘ
law ⓘ
linguistics ⓘ
philosophy ⓘ
political science ⓘ
psychology ⓘ
research funding ⓘ
social sciences ⓘ
sociology ⓘ
theology ⓘ
focus interdisciplinary research ⓘ
long-term research projects ⓘ
postdoctoral researchers ⓘ
research environments ⓘ
strategic research initiatives ⓘ
younger researchers ⓘ
foundedBy Wallenberg family NERFINISHED ⓘ
grants postdoctoral fellowships ⓘ
program grants ⓘ
project grants ⓘ
visiting professorships ⓘ
hasFundingType endowment-based funding ⓘ
languageOfWork English ⓘ
Swedish ⓘ
locatedIn Stockholm NERFINISHED ⓘ
namedAfter Amalia Wallenberg NERFINISHED ⓘ
Marcus Wallenberg Sr. NERFINISHED ⓘ
nonProfitStatus non-profit ⓘ
partOf Wallenberg Foundations network NERFINISHED ⓘ
sector higher education ⓘ
philanthropy ⓘ
scientific research ⓘ
website https://www.wallenberg.org/en/marcus-amalia-wallenberg-foundation ⓘ

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: Marcus and Amalia Wallenberg Foundation
Description of subject: The Marcus and Amalia Wallenberg Foundation is a major Swedish private foundation that funds research and education, particularly in the humanities and social sciences, and is part of the philanthropic network associated with the Wallenberg family.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Wallenberg family → hasFoundation → Marcus and Amalia Wallenberg Foundation ⓘ