Itajubá, Brazil
E199908
Itajubá, Brazil is a city in the state of Minas Gerais known for its industrial base, particularly in aerospace and defense manufacturing, and for hosting a major Airbus Helicopters production facility.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Itajubá (Portuguese) | 1 |
| Itajubá, Brazil canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1780883 — 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.
Target entity: Itajubá, Brazil Context triple: [Airbus Helicopters, hasManufacturingFacility, Itajubá, Brazil]
-
A.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
B.
Igarassu
Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
-
C.
Brasília Teimosa
Brasília Teimosa is a coastal neighborhood in Recife, Brazil, known for its working-class roots, history of informal settlement, and vibrant seaside community.
-
D.
Januária of Brazil
Januária of Brazil was a Brazilian imperial princess, daughter of Emperor Dom Pedro I, who briefly served as heir presumptive to the Brazilian throne before marrying into the Neapolitan royal family.
-
E.
Beberibe
Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Itajubá, Brazil Target entity description: Itajubá, Brazil is a city in the state of Minas Gerais known for its industrial base, particularly in aerospace and defense manufacturing, and for hosting a major Airbus Helicopters production facility.
-
A.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
B.
Igarassu
Igarassu is one of Brazil’s oldest colonial towns, known for its historic churches and coastal location in the northeastern state of Pernambuco.
-
C.
Brasília Teimosa
Brasília Teimosa is a coastal neighborhood in Recife, Brazil, known for its working-class roots, history of informal settlement, and vibrant seaside community.
-
D.
Januária of Brazil
Januária of Brazil was a Brazilian imperial princess, daughter of Emperor Dom Pedro I, who briefly served as heir presumptive to the Brazilian throne before marrying into the Neapolitan royal family.
-
E.
Beberibe
Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
city
ⓘ
municipality ⓘ |
| country | Brazil ⓘ |
| countrySubdivision |
Minas Gerais
ⓘ
surface form:
Brazilian state of Minas Gerais
|
| elevation | approximately 850 metres above sea level ⓘ |
| governingBody | municipal government of Itajubá ⓘ |
| hasAreaCode | +55 35 ⓘ |
| hasClimate | humid subtropical climate ⓘ |
| hasEconomicActivity |
commerce
ⓘ
manufacturing ⓘ services ⓘ |
| hasEconomicCharacteristic | export-oriented manufacturing ⓘ |
| hasEducationalInstitution |
UNIFEI
ⓘ
Universidade Federal de Itajubá ⓘ |
| hasHigherEducationFocus |
applied sciences
ⓘ
engineering ⓘ |
| hasIndustrialBaseIn |
aerospace industry
ⓘ
defense industry ⓘ electromechanical industry ⓘ electronics industry ⓘ |
| hasIndustrialCluster |
aeronautical cluster
ⓘ
defense technology cluster ⓘ |
| hasIndustrialEmployer |
Airbus Helicopters
ⓘ
surface form:
Airbus Helicopters Brasil
|
| hasManufacturingPlantType | helicopter production facility ⓘ |
| hasNameInLanguage |
Itajubá, Brazil
self-linksurface differs
ⓘ
surface form:
Itajubá (Portuguese)
|
| hasNearbyMajorCity |
Belo Horizonte
ⓘ
Rio de Janeiro ⓘ São Paulo ⓘ |
| hasPostalCodeFormat | 37500-000 ⓘ |
| hasSettlementType | urban municipality ⓘ |
| hasTransportationMode | regional bus connections ⓘ |
| hostsFacilityOf | Airbus Helicopters ⓘ |
| knownFor |
aerospace and defense manufacturing
ⓘ
engineering education ⓘ technology sector ⓘ |
| locatedIn |
Serra da Mantiqueira
ⓘ
surface form:
Mantiqueira Mountains region
Minas Gerais ⓘ |
| locatedInAdministrativeTerritorialEntity |
Minas Gerais
ⓘ
surface form:
State of Minas Gerais
|
| locatedInCountry |
Brazil
ⓘ
surface form:
Federative Republic of Brazil
|
| locatedInGeographicalFeature |
Serra da Mantiqueira
ⓘ
surface form:
Serra da Mantiqueira area
|
| locatedInRegion | southeast region of Brazil ⓘ |
| locatedInTimeZone | Brasília time ⓘ |
| locatedOnRiver | Sapucaí River ⓘ |
| officialLanguage | Portuguese ⓘ |
| partOf |
mesoregion of Sul/Sudoeste de Minas
ⓘ
microregion of Itajubá ⓘ |
| timeZone | UTC−03:00 ⓘ |
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.
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.
Subject: Itajubá, Brazil Description of subject: Itajubá, Brazil is a city in the state of Minas Gerais known for its industrial base, particularly in aerospace and defense manufacturing, and for hosting a major Airbus Helicopters production facility.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.