Greater Malang area
E622217
The Greater Malang area is an urban and regional agglomeration in East Java, Indonesia, centered on the city of Malang and its surrounding municipalities.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Greater Malang area canonical | 4 |
| Greater Malang | 2 |
| Greater Malang region | 1 |
| Greater Malang tourism area | 1 |
| Malang Raya area | 1 |
| Malang Valley | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6839377 — 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: Greater Malang area Context triple: [Abdul Rachman Saleh Airport, regionServed, Greater Malang area]
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A.
Malang Regency
Malang Regency is an administrative region in East Java, Indonesia, known for its mountainous landscapes, cool climate, and proximity to popular tourist destinations such as Batu and Mount Bromo.
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B.
Greater Medan area
The Greater Medan area is the large metropolitan region centered on the city of Medan in North Sumatra, Indonesia, encompassing its surrounding urban and suburban communities.
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C.
Greater Surabaya metropolitan area
The Greater Surabaya metropolitan area is Indonesia’s second-largest urban agglomeration, encompassing Surabaya and its surrounding cities and regencies as a major economic and industrial hub in eastern Java.
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D.
Lumajang Regency
Lumajang Regency is an administrative region in East Java, Indonesia, known for encompassing part of the area around Mount Semeru, the country’s highest volcano.
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E.
Mengwi District
Mengwi District is an administrative district in Bali, Indonesia, known for its historic royal temple complex Taman Ayun and its role as part of the greater Badung Regency 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: Greater Malang area Target entity description: The Greater Malang area is an urban and regional agglomeration in East Java, Indonesia, centered on the city of Malang and its surrounding municipalities.
-
A.
Malang Regency
Malang Regency is an administrative region in East Java, Indonesia, known for its mountainous landscapes, cool climate, and proximity to popular tourist destinations such as Batu and Mount Bromo.
-
B.
Greater Medan area
The Greater Medan area is the large metropolitan region centered on the city of Medan in North Sumatra, Indonesia, encompassing its surrounding urban and suburban communities.
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C.
Greater Surabaya metropolitan area
The Greater Surabaya metropolitan area is Indonesia’s second-largest urban agglomeration, encompassing Surabaya and its surrounding cities and regencies as a major economic and industrial hub in eastern Java.
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D.
Lumajang Regency
Lumajang Regency is an administrative region in East Java, Indonesia, known for encompassing part of the area around Mount Semeru, the country’s highest volcano.
-
E.
Mengwi District
Mengwi District is an administrative district in Bali, Indonesia, known for its historic royal temple complex Taman Ayun and its role as part of the greater Badung Regency area.
- F. None of above. chosen
Statements (43)
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: Greater Malang area Description of subject: The Greater Malang area is an urban and regional agglomeration in East Java, Indonesia, centered on the city of Malang and its surrounding municipalities.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
MLG
linked to: Greater Malang area
linked to: Greater Malang area
linked to: Greater Malang area
linked to: Greater Malang area
linked to: Greater Malang area
linked to: Greater Malang area