Malang
E28882
Malang is a major city in East Java, Indonesia, known for its cool climate, colonial-era architecture, and proximity to popular mountain and volcanic tourist destinations.
All labels observed (11)
| Label | Occurrences |
|---|---|
| Malang canonical | 47 |
| Malang City | 3 |
| city of Malang | 3 |
| City of Malang | 2 |
| Malang (city) | 2 |
| Malang city government | 2 |
| Malang, East Java | 2 |
| Malang City administration | 1 |
| Malang Regency (administrative seat, de facto) | 1 |
| Malang city center | 1 |
| Malang city council | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T184872 — 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: Malang Context triple: [Java, containsCity, Malang]
-
A.
Surabaya
Surabaya is Indonesia’s second-largest city and a key commercial and industrial hub on the island of Java, historically serving as one of the region’s most important seaports.
-
B.
Yogyakarta
Yogyakarta is a major cultural and educational city on the Indonesian island of Java, renowned for its traditional arts, universities, and proximity to the Borobudur and Prambanan temples.
-
C.
Semarang
Semarang is a major coastal city on the north coast of Java in Indonesia, known historically as an important colonial trading hub and now as a significant commercial and industrial center.
-
D.
Makassar
Makassar is a major port city on the southwest coast of Sulawesi known historically as a key maritime trading hub in eastern Indonesia.
-
E.
Bandung
Bandung is a large Indonesian city on the island of Java known for its cool climate, universities, colonial and art deco architecture, and role as a center of culture and technology.
- 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: Malang Target entity description: Malang is a major city in East Java, Indonesia, known for its cool climate, colonial-era architecture, and proximity to popular mountain and volcanic tourist destinations.
-
A.
Surabaya
Surabaya is Indonesia’s second-largest city and a key commercial and industrial hub on the island of Java, historically serving as one of the region’s most important seaports.
-
B.
Yogyakarta
Yogyakarta is a major cultural and educational city on the Indonesian island of Java, renowned for its traditional arts, universities, and proximity to the Borobudur and Prambanan temples.
-
C.
Semarang
Semarang is a major coastal city on the north coast of Java in Indonesia, known historically as an important colonial trading hub and now as a significant commercial and industrial center.
-
D.
Makassar
Makassar is a major port city on the southwest coast of Sulawesi known historically as a key maritime trading hub in eastern Indonesia.
-
E.
Bandung
Bandung is a large Indonesian city on the island of Java known for its cool climate, universities, colonial and art deco architecture, and role as a center of culture and technology.
- F. None of above. chosen
Statements (52)
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: Malang Description of subject: Malang is a major city in East Java, Indonesia, known for its cool climate, colonial-era architecture, and proximity to popular mountain and volcanic tourist destinations.
Referenced by (65)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Malang Regency (administrative seat, de facto)
this entity surface form:
Malang City
subject surface form:
Java
subject surface form:
Tugu Malang
subject surface form:
Tugu Malang
subject surface form:
Tugu Malang
subject surface form:
Tugu Malang
this entity surface form:
Malang city government
this entity surface form:
City of Malang
this entity surface form:
City of Malang
this entity surface form:
Malang city government
this entity surface form:
city of Malang
subject surface form:
Balai Kota Malang
subject surface form:
Balai Kota Malang
this entity surface form:
Malang City
subject surface form:
Balai Kota Malang
this entity surface form:
Malang city center
subject surface form:
Balai Kota Malang
this entity surface form:
Malang City administration
subject surface form:
Balai Kota Malang
this entity surface form:
Malang city council
subject surface form:
City of Education
subject surface form:
City of Education
this entity surface form:
Malang, East Java
this entity surface form:
Malang, East Java
this entity surface form:
city of Malang
this entity surface form:
city of Malang
this entity surface form:
Malang City