Sabangan, Mountain Province
E1014448
Sabangan, Mountain Province is a rural municipality in the Cordillera region of the Philippines known for its mountainous terrain, cool climate, and location along the scenic route between Baguio and the northern highlands.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sabangan, Mountain Province canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T12966800 — 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: Sabangan, Mountain Province Context triple: [Halsema Highway, passesThrough, Sabangan, Mountain Province]
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A.
Naguilian, La Union
Naguilian, La Union is a landlocked agricultural municipality in the Philippine province of La Union, known for its rice, tobacco, and traditional basi (sugarcane wine) production.
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B.
San Manuel, Pangasinan
San Manuel, Pangasinan is a landlocked agricultural municipality in the Philippines known for hosting the massive San Roque Dam, one of the largest hydroelectric dams in Asia.
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C.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
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D.
Mabaka Valley Kalinga
Mabaka Valley Kalinga is a regional dialect of the Kalinga language spoken by communities in the Mabaka Valley area of the Philippines' Kalinga province.
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E.
Malungon, Sarangani
Malungon, Sarangani is a landlocked agricultural municipality in the Philippines’ Soccsksargen region, known for its hilly terrain, fruit and coconut farms, and proximity to eco-tourism sites like Mt. Matutum.
- 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: Sabangan, Mountain Province Target entity description: Sabangan, Mountain Province is a rural municipality in the Cordillera region of the Philippines known for its mountainous terrain, cool climate, and location along the scenic route between Baguio and the northern highlands.
-
A.
Naguilian, La Union
Naguilian, La Union is a landlocked agricultural municipality in the Philippine province of La Union, known for its rice, tobacco, and traditional basi (sugarcane wine) production.
-
B.
San Manuel, Pangasinan
San Manuel, Pangasinan is a landlocked agricultural municipality in the Philippines known for hosting the massive San Roque Dam, one of the largest hydroelectric dams in Asia.
-
C.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
D.
Mabaka Valley Kalinga
Mabaka Valley Kalinga is a regional dialect of the Kalinga language spoken by communities in the Mabaka Valley area of the Philippines' Kalinga province.
-
E.
Malungon, Sarangani
Malungon, Sarangani is a landlocked agricultural municipality in the Philippines’ Soccsksargen region, known for its hilly terrain, fruit and coconut farms, and proximity to eco-tourism sites like Mt. Matutum.
- F. None of above. chosen
Statements (49)
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: Sabangan, Mountain Province Description of subject: Sabangan, Mountain Province is a rural municipality in the Cordillera region of the Philippines known for its mountainous terrain, cool climate, and location along the scenic route between Baguio and the northern highlands.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.