Museum of Tomorrow

E39162

museum building science museum technology museum

The Museum of Tomorrow is a science and technology museum in Rio de Janeiro known for its futuristic architecture and interactive exhibits on sustainability and the future of humanity.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
Museu do Amanhã	2
Museum of Tomorrow canonical	2

Statements (42)

Predicate	Object
instanceOf	museum building ⓘ science museum ⓘ technology museum ⓘ
architect	Santiago Calatrava ⓘ
architecturalStyle	futurist architecture ⓘ neo-futurism ⓘ
city	Rio de Janeiro ⓘ
continent	South America ⓘ
country	Brazil ⓘ
dedicatedTo	public education on sustainability ⓘ science communication ⓘ
exhibitType	immersive installations ⓘ interactive exhibits ⓘ
focusesOn	possible futures ⓘ relationship between humans and planet ⓘ sustainable development ⓘ
hasAward	Jumex Museum ⓘ surface form: 2016 Leading Culture Destinations Award for Best Museum of the Year (Latin America)
hasFeature	large cantilevered roof ⓘ moving solar panels ⓘ reflecting pools ⓘ sustainable building technologies ⓘ
hasLanguage	English ⓘ Portuguese ⓘ
hasWebsite	https://museudoamanha.org.br ⓘ
inception	2015 ⓘ
locatedIn	Centro (Rio de Janeiro) ⓘ surface form: Port Zone of Rio de Janeiro Porto Maravilha urban revitalization area ⓘ Praça Mauá ⓘ Rio de Janeiro ⓘ
locatedOn	waterfront of Guanabara Bay ⓘ
mainTheme	climate change ⓘ environmental issues ⓘ future of humanity ⓘ science and technology ⓘ sustainability ⓘ
nativeLanguage	pt ⓘ
nativeName	Museum of Tomorrow self-linksurface differs ⓘ surface form: Museu do Amanhã
openingDate	2015-12-17 ⓘ
operatedBy	Municipal Chamber of Rio de Janeiro ⓘ surface form: Prefecture of Rio de Janeiro
ownedBy	Rio de Janeiro ⓘ surface form: City of Rio de Janeiro
usesEnergySource	solar energy ⓘ water from Guanabara Bay for cooling ⓘ

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: Museum of Tomorrow
Description of subject: The Museum of Tomorrow is a science and technology museum in Rio de Janeiro known for its futuristic architecture and interactive exhibits on sustainability and the future of humanity.

Referenced by (4)

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

Rio de Janeiro → hasLandmark → Museum of Tomorrow ⓘ

Museum of Tomorrow → nativeName → Museum of Tomorrow self-linksurface differs ⓘ

this entity surface form: Museu do Amanhã

Centro (Rio de Janeiro) → hasLandmark → Museum of Tomorrow ⓘ

Praça Mauá → hasNearbyAttraction → Museum of Tomorrow ⓘ

this entity surface form: Museu do Amanhã