San Martín Region, Peru
E899204
San Martín Region, Peru is a northeastern Peruvian region in the Amazon rainforest known for its diverse indigenous communities, including the Aguaruna, and its rich biodiversity and agricultural production.
All labels observed (1)
| Label | Occurrences |
|---|---|
| San Martín Region, Peru canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10902217 — 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: San Martín Region, Peru Context triple: [Aguaruna, populationLocation, San Martín Region, Peru]
-
A.
Loreto Region of Peru
The Loreto Region of Peru is a vast, sparsely populated area in the northern Amazon rainforest known for its rich indigenous cultures, extensive river systems, and biodiverse jungle environment.
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B.
Moquegua Region
Moquegua Region is a sparsely populated region in southern Peru known for its volcanic landscapes, including the active Ubinas volcano, as well as its mining activities and agricultural production.
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C.
Tarapacá Region
Tarapacá Region is an administrative region in northern Chile known for its desert landscapes, mining industry, and the port city of Iquique.
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D.
Puno Region
Puno Region is a high-altitude area in southeastern Peru known for its Andean culture and for encompassing much of Lake Titicaca, one of the world’s highest navigable lakes.
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E.
Arequipa Region
The Arequipa Region is a southern Peruvian administrative area dominated by volcanic highlands and deep canyons, including parts of the Andes where some headwaters of the Amazon River originate.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: San Martín Region, Peru Target entity description: San Martín Region, Peru is a northeastern Peruvian region in the Amazon rainforest known for its diverse indigenous communities, including the Aguaruna, and its rich biodiversity and agricultural production.
-
A.
Loreto Region of Peru
The Loreto Region of Peru is a vast, sparsely populated area in the northern Amazon rainforest known for its rich indigenous cultures, extensive river systems, and biodiverse jungle environment.
-
B.
Moquegua Region
Moquegua Region is a sparsely populated region in southern Peru known for its volcanic landscapes, including the active Ubinas volcano, as well as its mining activities and agricultural production.
-
C.
Tarapacá Region
Tarapacá Region is an administrative region in northern Chile known for its desert landscapes, mining industry, and the port city of Iquique.
-
D.
Puno Region
Puno Region is a high-altitude area in southeastern Peru known for its Andean culture and for encompassing much of Lake Titicaca, one of the world’s highest navigable lakes.
-
E.
Arequipa Region
The Arequipa Region is a southern Peruvian administrative area dominated by volcanic highlands and deep canyons, including parts of the Andes where some headwaters of the Amazon River originate.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
administrative region
ⓘ
region of Peru ⓘ |
| borderedBy |
Amazonas Region
NERFINISHED
ⓘ
Cajamarca Region NERFINISHED ⓘ Huánuco Region NERFINISHED ⓘ La Libertad Region NERFINISHED ⓘ Loreto Region NERFINISHED ⓘ Ucayali Region NERFINISHED ⓘ |
| capital | Moyobamba NERFINISHED ⓘ |
| contains |
Bellavista city
NERFINISHED
ⓘ
Huallaga River NERFINISHED ⓘ Juanjuí city NERFINISHED ⓘ Mayo River NERFINISHED ⓘ Moyobamba city NERFINISHED ⓘ Rioja city NERFINISHED ⓘ Tarapoto city NERFINISHED ⓘ Tocache city NERFINISHED ⓘ |
| country | Peru ⓘ |
| ecosystem | Amazon rainforest ecosystem ⓘ |
| governmentType | regional government ⓘ |
| hasClimate | tropical rainforest climate ⓘ |
| hasEconomicActivity |
agriculture
ⓘ
cattle ranching ⓘ ecotourism ⓘ forestry ⓘ |
| hasIndigenousCommunity |
Aguaruna
NERFINISHED
ⓘ
Awajún NERFINISHED ⓘ Quechua peoples NERFINISHED ⓘ Shawi NERFINISHED ⓘ |
| hasLegislativeBody | Regional Council of San Martín NERFINISHED ⓘ |
| hasProtectedArea |
Alto Mayo Protection Forest
NERFINISHED
ⓘ
Cordillera Azul National Park NERFINISHED ⓘ |
| knownFor |
agricultural production
ⓘ
cacao production ⓘ coffee production ⓘ oil palm cultivation ⓘ rice cultivation ⓘ rich biodiversity ⓘ |
| languageSpoken |
Aguaruna
NERFINISHED
ⓘ
Quechua NERFINISHED ⓘ Spanish ⓘ |
| largestCity | Tarapoto NERFINISHED ⓘ |
| locatedIn |
Amazon rainforest
NERFINISHED
ⓘ
northeastern Peru ⓘ |
| locatedInTimeZone | Peru Time NERFINISHED ⓘ |
| namedAfter | José de San Martín NERFINISHED ⓘ |
| officialLanguage | Spanish ⓘ |
| partOf | Peruvian Amazon NERFINISHED ⓘ |
| subdivisionOf | Republic of Peru NERFINISHED ⓘ |
| timeZoneOffset | 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.
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: San Martín Region, Peru Description of subject: San Martín Region, Peru is a northeastern Peruvian region in the Amazon rainforest known for its diverse indigenous communities, including the Aguaruna, and its rich biodiversity and agricultural production.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.