Seri Kembangan
E773635
Seri Kembangan is a rapidly developing suburban town in Selangor, Malaysia, situated within the greater Kuala Lumpur metropolitan area and known for its residential neighborhoods, commercial centers, and proximity to major highways.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Seri Kembangan canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T9012973 — 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: Seri Kembangan Context triple: [Klang Valley, containsCity, Seri Kembangan]
-
A.
Putra Heights
Putra Heights is a suburban residential township in Subang Jaya, Selangor, Malaysia, known for its planned housing estates and connectivity via major highways and an LRT line.
-
B.
Seri Manjung
Seri Manjung is a rapidly developing coastal township in the Manjung District of Perak, Malaysia, known as an administrative and commercial hub for the surrounding area.
-
C.
Anak Bukit
Anak Bukit is a suburb of Alor Setar in the Malaysian state of Kedah, known primarily as the location of the Sultan of Kedah’s official residence.
-
D.
Kajang
Kajang is a major town in the Hulu Langat District of Selangor, Malaysia, known for its satay and role as a rapidly developing suburban and commercial hub near Kuala Lumpur.
-
E.
Sukamakmur
Sukamakmur is a district in Bogor Regency, West Java, Indonesia, known for its rural highland landscapes and growing nature-based tourism.
- 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: Seri Kembangan Target entity description: Seri Kembangan is a rapidly developing suburban town in Selangor, Malaysia, situated within the greater Kuala Lumpur metropolitan area and known for its residential neighborhoods, commercial centers, and proximity to major highways.
-
A.
Putra Heights
Putra Heights is a suburban residential township in Subang Jaya, Selangor, Malaysia, known for its planned housing estates and connectivity via major highways and an LRT line.
-
B.
Seri Manjung
Seri Manjung is a rapidly developing coastal township in the Manjung District of Perak, Malaysia, known as an administrative and commercial hub for the surrounding area.
-
C.
Anak Bukit
Anak Bukit is a suburb of Alor Setar in the Malaysian state of Kedah, known primarily as the location of the Sultan of Kedah’s official residence.
-
D.
Kajang
Kajang is a major town in the Hulu Langat District of Selangor, Malaysia, known for its satay and role as a rapidly developing suburban and commercial hub near Kuala Lumpur.
-
E.
Sukamakmur
Sukamakmur is a district in Bogor Regency, West Java, Indonesia, known for its rural highland landscapes and growing nature-based tourism.
- F. None of above. chosen
Statements (65)
| Predicate | Object |
|---|---|
| instanceOf | town ⓘ |
| country | Malaysia ⓘ |
| developedFrom | Serdang New Village NERFINISHED ⓘ |
| governingBody | Majlis Perbandaran Subang Jaya NERFINISHED ⓘ |
| hasAlternativeName |
Serdang
NERFINISHED
ⓘ
Serdang New Village NERFINISHED ⓘ |
| hasAreaCode | +60-3 ⓘ |
| hasLake | Mines Resort City lake NERFINISHED ⓘ |
| hasLandUse |
commercial
ⓘ
light industrial ⓘ residential ⓘ |
| hasNeighbourhood |
Taman Bukit Serdang
NERFINISHED
ⓘ
Taman Equine NERFINISHED ⓘ Taman Lestari Perdana NERFINISHED ⓘ Taman Muhibbah NERFINISHED ⓘ Taman Serdang Bahagia NERFINISHED ⓘ Taman Serdang Indah NERFINISHED ⓘ Taman Serdang Jaya NERFINISHED ⓘ Taman Serdang Perdana NERFINISHED ⓘ Taman Serdang Raya NERFINISHED ⓘ Taman Serdang Raya Industrial Area NERFINISHED ⓘ Taman Serdang Utama NERFINISHED ⓘ Taman Serdang Villa NERFINISHED ⓘ Taman Sri Serdang NERFINISHED ⓘ Taman Sungai Besi Indah NERFINISHED ⓘ Taman Technology Park Malaysia vicinity ⓘ Taman Universiti Indah NERFINISHED ⓘ |
| hasPostalCodeRange |
43300
ⓘ
43310 ⓘ 43320 ⓘ 43330 ⓘ 43350 ⓘ |
| hasRailStation |
Serdang KTM station
NERFINISHED
ⓘ
Serdang Raya Selatan MRT station NERFINISHED ⓘ Serdang Raya Utara MRT station NERFINISHED ⓘ Taman Equine MRT station NERFINISHED ⓘ UPM MRT station NERFINISHED ⓘ |
| hasShoppingCentre | The Mines Shopping Mall NERFINISHED ⓘ |
| hasUniversity | Universiti Putra Malaysia vicinity ⓘ |
| knownFor |
commercial centres
ⓘ
proximity to major highways ⓘ rapid urban development ⓘ residential neighbourhoods ⓘ |
| languageUsed |
English
ⓘ
Malay ⓘ Mandarin Chinese NERFINISHED ⓘ Tamil NERFINISHED ⓘ |
| locatedIn | Petaling District NERFINISHED ⓘ |
| locatedOn | Malay Peninsula NERFINISHED ⓘ |
| near |
Balakong
NERFINISHED
ⓘ
Kajang NERFINISHED ⓘ Kuala Lumpur NERFINISHED ⓘ Puchong NERFINISHED ⓘ Putrajaya NERFINISHED ⓘ |
| partOf |
Greater Kuala Lumpur
NERFINISHED
ⓘ
Klang Valley NERFINISHED ⓘ |
| servedByHighway |
Damansara–Puchong Expressway
NERFINISHED
ⓘ
Kajang Dispersal Link Expressway NERFINISHED ⓘ Kuala Lumpur–Seremban Expressway NERFINISHED ⓘ Maju Expressway NERFINISHED ⓘ South Klang Valley Expressway NERFINISHED ⓘ Sungai Besi Expressway NERFINISHED ⓘ |
| state | Selangor NERFINISHED ⓘ |
| timeZone | Malaysia Time NERFINISHED ⓘ |
| utcOffset | +8 ⓘ |
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: Seri Kembangan Description of subject: Seri Kembangan is a rapidly developing suburban town in Selangor, Malaysia, situated within the greater Kuala Lumpur metropolitan area and known for its residential neighborhoods, commercial centers, and proximity to major highways.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.