La Molina, Lima, Peru
E423500
La Molina is an affluent residential and educational district in eastern Lima, Peru, known for its universities, private schools, and relatively green, suburban environment.
All labels observed (2)
| Label | Occurrences |
|---|---|
| La Molina, Lima, Peru canonical | 3 |
| La Molina district, Lima, Peru | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4238636 — 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: La Molina, Lima, Peru Context triple: [Colegio Alpamayo, locatedIn, La Molina, Lima, Peru]
-
A.
San Miguel district, Lima
San Miguel district, Lima is a coastal urban district of Peru’s capital city known for its residential areas, shopping centers, and educational institutions.
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B.
Pasco, Peru
Pasco, Peru is a city in central Peru known for its high-altitude location in the Andes and its historical ties to mining and regional commerce.
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C.
Santiago de Surco
Santiago de Surco is a large, predominantly residential and commercial district in southern Lima, Peru, known for its middle- to upper-class neighborhoods, shopping centers, and educational institutions.
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D.
Cercado de Lima
Cercado de Lima is the historic central district of Lima, Peru, encompassing the city’s colonial core, main government buildings, and numerous cultural landmarks.
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E.
Lima
Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
- 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: La Molina, Lima, Peru Target entity description: La Molina is an affluent residential and educational district in eastern Lima, Peru, known for its universities, private schools, and relatively green, suburban environment.
-
A.
San Miguel district, Lima
San Miguel district, Lima is a coastal urban district of Peru’s capital city known for its residential areas, shopping centers, and educational institutions.
-
B.
Pasco, Peru
Pasco, Peru is a city in central Peru known for its high-altitude location in the Andes and its historical ties to mining and regional commerce.
-
C.
Santiago de Surco
Santiago de Surco is a large, predominantly residential and commercial district in southern Lima, Peru, known for its middle- to upper-class neighborhoods, shopping centers, and educational institutions.
-
D.
Cercado de Lima
Cercado de Lima is the historic central district of Lima, Peru, encompassing the city’s colonial core, main government buildings, and numerous cultural landmarks.
-
E.
Lima
Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
administrative subdivision
ⓘ
district ⓘ |
| contains |
La Molina District urban area
ⓘ
country clubs ⓘ gated communities ⓘ parks ⓘ private schools ⓘ residential neighborhoods ⓘ shopping areas ⓘ university campuses ⓘ |
| country | Peru ⓘ |
| hasBorderWith |
Ate District
NERFINISHED
ⓘ
Cieneguilla District NERFINISHED ⓘ Pachacámac District NERFINISHED ⓘ San Borja District NERFINISHED ⓘ Santiago de Surco District NERFINISHED ⓘ Villa María del Triunfo District NERFINISHED ⓘ |
| hasCharacteristic |
car-oriented urban layout
ⓘ
higher average temperatures than central Lima ⓘ low-rise housing predominance ⓘ lower humidity than coastal Lima ⓘ relatively low population density for Lima ⓘ |
| hasClimate | arid subtropical climate ⓘ |
| hasHigherEducationInstitution |
Universidad Nacional Agraria La Molina (nearby, namesake influence)
NERFINISHED
ⓘ
Universidad Peruana de Ciencias Aplicadas (UPC Monterrico/La Molina area) NERFINISHED ⓘ Universidad de San Martín de Porres (La Molina campus) NERFINISHED ⓘ |
| hasLandUse |
commercial corridors
ⓘ
educational ⓘ predominantly residential ⓘ |
| hasMayor | Diego Uceda NERFINISHED ⓘ |
| hasMunicipalGovernment | Municipality of La Molina NERFINISHED ⓘ |
| hasOfficialLanguage | Spanish ⓘ |
| hasPostalCode |
15023
ⓘ
15024 ⓘ 15026 ⓘ |
| hasReputation |
high quality of life within Lima
ⓘ
high real estate prices ⓘ |
| isClassifiedAs |
affluent district
ⓘ
educational hub ⓘ residential district ⓘ |
| isKnownFor |
green areas
ⓘ
private schools ⓘ suburban environment ⓘ universities ⓘ |
| locatedIn | eastern Lima ⓘ |
| locatedInTimeZone | Peru Time NERFINISHED ⓘ |
| partOf |
Lima Metropolitan Area
NERFINISHED
ⓘ
Lima Province NERFINISHED ⓘ |
| utcOffset | −05:00 ⓘ |
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.
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: La Molina, Lima, Peru Description of subject: La Molina is an affluent residential and educational district in eastern Lima, Peru, known for its universities, private schools, and relatively green, suburban environment.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
La Molina district, Lima, Peru