Larcomar
E19245
Larcomar is a popular cliffside shopping and entertainment center in Lima, Peru, overlooking the Pacific Ocean and known for its restaurants, boutiques, and ocean views.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Larcomar shopping center | 3 |
| Larcomar canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T128809 — 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: Larcomar Context triple: [Lima, hasLandmark, Larcomar]
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A.
Old Port
Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
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B.
Turtle Bay
Turtle Bay is a neighborhood on Manhattan’s East Side in New York City, best known as the site of the United Nations Headquarters.
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C.
Charlotte Amalie Harbor
Charlotte Amalie Harbor is the main deep-water port of the U.S. Virgin Islands’ capital, serving as a key hub for cruise ships, ferries, and commercial maritime traffic in the Caribbean.
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D.
Palmer Square
Palmer Square is a prominent mixed-use town square in downtown Princeton, New Jersey, known for its upscale shops, restaurants, offices, and public gathering spaces adjacent to Princeton University.
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E.
Moran Terminal
Moran Terminal is a major cargo and container shipping facility within the Port of Boston, serving as a key hub for maritime trade in the New England region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Larcomar Target entity description: Larcomar is a popular cliffside shopping and entertainment center in Lima, Peru, overlooking the Pacific Ocean and known for its restaurants, boutiques, and ocean views.
-
A.
Old Port
Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
-
B.
Turtle Bay
Turtle Bay is a neighborhood on Manhattan’s East Side in New York City, best known as the site of the United Nations Headquarters.
-
C.
Charlotte Amalie Harbor
Charlotte Amalie Harbor is the main deep-water port of the U.S. Virgin Islands’ capital, serving as a key hub for cruise ships, ferries, and commercial maritime traffic in the Caribbean.
-
D.
Palmer Square
Palmer Square is a prominent mixed-use town square in downtown Princeton, New Jersey, known for its upscale shops, restaurants, offices, and public gathering spaces adjacent to Princeton University.
-
E.
Moran Terminal
Moran Terminal is a major cargo and container shipping facility within the Port of Boston, serving as a key hub for maritime trade in the New England region.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
entertainment center
ⓘ
shopping mall ⓘ |
| city | Lima ⓘ |
| continent | South America ⓘ |
| country | Peru ⓘ |
| district | Miraflores ⓘ |
| hasAmenity |
children’s play areas
ⓘ
food court ⓘ movie theater ⓘ parking ⓘ |
| hasFeature |
bars
ⓘ
boutiques ⓘ cinemas ⓘ entertainment venues ⓘ event spaces ⓘ fashion stores ⓘ fast food outlets ⓘ ocean views ⓘ outdoor terraces ⓘ parking garage ⓘ restaurants ⓘ souvenir shops ⓘ |
| hasOutdoorSpace | yes ⓘ |
| hasType |
mixed-use complex
ⓘ
open-air mall ⓘ |
| hasView | sunset over Pacific Ocean ⓘ |
| hasViewOf |
Costa Verde
ⓘ
Pacific Ocean ⓘ |
| isPopularWith |
locals
ⓘ
tourists ⓘ |
| knownFor |
cliffside location
ⓘ
gastronomy ⓘ nightlife ⓘ sea views ⓘ shopping ⓘ |
| languageOfSignage |
English
ⓘ
Spanish ⓘ |
| locatedIn |
Lima
ⓘ
Miraflores ⓘ
surface form:
Miraflores District
|
| locatedOn |
Pacific Ocean coast
ⓘ
cliff ⓘ |
| overlooks | Pacific Ocean ⓘ |
| partOf | Costa Verde recreational area ⓘ |
| region | Lima Region ⓘ |
| touristAttraction | yes ⓘ |
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: Larcomar Description of subject: Larcomar is a popular cliffside shopping and entertainment center in Lima, Peru, overlooking the Pacific Ocean and known for its restaurants, boutiques, and ocean views.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.