eastern Lima
E94131
Eastern Lima is a predominantly residential and rapidly developing sector of Peru’s capital city, characterized by middle- and upper-class districts such as La Molina and various educational and commercial hubs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| eastern Lima canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T792941 — 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: eastern Lima Context triple: [La Molina, locatedIn, eastern Lima]
-
A.
Loveland
Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
-
B.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
C.
Elma, Iowa
Elma, Iowa is a small rural city located in northeastern Iowa within Howard County.
-
D.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
-
E.
Gretna, Nebraska
Gretna, Nebraska is a small but rapidly growing suburban city in Sarpy County that serves as part of the greater Omaha metropolitan area.
- 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: eastern Lima Target entity description: Eastern Lima is a predominantly residential and rapidly developing sector of Peru’s capital city, characterized by middle- and upper-class districts such as La Molina and various educational and commercial hubs.
-
A.
Loveland
Loveland is a city in northern Colorado known for its art community, sculpture parks, and proximity to the Rocky Mountains.
-
B.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
C.
Elma, Iowa
Elma, Iowa is a small rural city located in northeastern Iowa within Howard County.
-
D.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
-
E.
Gretna, Nebraska
Gretna, Nebraska is a small but rapidly growing suburban city in Sarpy County that serves as part of the greater Omaha metropolitan area.
- F. None of above. chosen
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
geographic region
ⓘ
urban area ⓘ |
| borders | Andean foothills east of Lima ⓘ |
| characterizedBy |
middle-class neighborhoods
ⓘ
upper-class residential areas ⓘ upper-middle-class neighborhoods ⓘ |
| climate | arid subtropical (similar to Lima overall) ⓘ |
| contains |
shopping centers and commercial strips
ⓘ
university campuses and private schools ⓘ |
| country | Peru ⓘ |
| governedBy | municipal governments of its constituent districts ⓘ |
| hasDistrict |
Ate
ⓘ
Cieneguilla ⓘ El Agustino ⓘ La Molina ⓘ Santa Anita District ⓘ
surface form:
Santa Anita
|
| hasFunction |
commercial hub
ⓘ
educational hub ⓘ residential hub ⓘ |
| hasLandUse |
commercial
ⓘ
educational ⓘ residential ⓘ |
| hasNotableDistrict |
Ate
ⓘ
Cieneguilla ⓘ La Molina ⓘ Santa Anita District ⓘ
surface form:
Santa Anita
|
| language | Spanish (majority language) ⓘ |
| locatedIn | central coastal Peru ⓘ |
| locatedInTimeZone | Peru Time ⓘ |
| partOf |
Lima
ⓘ
Greater Lima conurbation ⓘ
surface form:
Lima Metropolitan Area
Lima Province ⓘ |
| relativeLocation | eastern sector of the city of Lima ⓘ |
| socioeconomicProfile | predominantly middle and upper socioeconomic strata ⓘ |
| transportConnection | connected to central Lima by major arterial roads ⓘ |
| urbanDevelopment | rapidly developing sector of Lima ⓘ |
| urbanPattern | gated communities and planned residential areas ⓘ |
| utcOffset | UTC−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: eastern Lima Description of subject: Eastern Lima is a predominantly residential and rapidly developing sector of Peru’s capital city, characterized by middle- and upper-class districts such as La Molina and various educational and commercial hubs.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.