Arequipa
E22142
Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
All labels observed (9)
| Label | Occurrences |
|---|---|
| Arequipa canonical | 55 |
| city of Arequipa | 10 |
| Arequipa metropolitan area | 8 |
| Arequipa, Peru | 6 |
| Arequipa city | 2 |
| Arequipa city center | 2 |
| Arequipa urban area | 2 |
| Arequipa city (regional urban center) | 1 |
| City of Arequipa | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T100692 — 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: Arequipa Context triple: [Peru, contains, Arequipa]
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A.
Cusco
Cusco is a historic city in southeastern Peru that served as the capital of the Inca Empire and is now a major gateway to Machu Picchu.
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B.
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.
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C.
San Pedro de Atacama
San Pedro de Atacama is a small Chilean town in the Andes renowned as a gateway for tourists exploring the surrounding Atacama Desert’s salt flats, geysers, and high-altitude landscapes.
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D.
La Serena
La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
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E.
Concepción
Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Arequipa Target entity description: Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
-
A.
Cusco
Cusco is a historic city in southeastern Peru that served as the capital of the Inca Empire and is now a major gateway to Machu Picchu.
-
B.
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.
-
C.
San Pedro de Atacama
San Pedro de Atacama is a small Chilean town in the Andes renowned as a gateway for tourists exploring the surrounding Atacama Desert’s salt flats, geysers, and high-altitude landscapes.
-
D.
La Serena
La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
-
E.
Concepción
Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
- F. None of above. chosen
Statements (48)
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: Arequipa Description of subject: Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
Referenced by (87)
Full triples — surface form annotated when it differs from this entity's canonical label.