Cikarang Station
E628700
Cikarang Station is a railway station in Cikarang, West Java, Indonesia, serving as a key commuter and intercity rail hub in the eastern Greater Jakarta area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Cikarang Station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6940347 — 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: Cikarang Station Context triple: [Bekasi Station, connectsTo, Cikarang Station]
-
A.
Bekasi Station
Bekasi Station is a major railway station serving commuter and intercity trains in the city of Bekasi, Indonesia.
-
B.
Bogor Station
Bogor Station is a major railway station and commuter rail terminus serving the city of Bogor and the greater Jakarta metropolitan area in Indonesia.
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C.
Tasikmalaya railway station
Tasikmalaya railway station is a key train station in the city of Tasikmalaya, Indonesia, serving as an important regional hub for passenger rail transport.
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D.
Sangen-jaya Station
Sangen-jaya Station is a major railway station in Tokyo’s Setagaya ward, serving as a busy transit hub with direct access to central city areas and a surrounding neighborhood known for its lively dining and nightlife.
-
E.
Pekalongan Station
Pekalongan Station is a major railway station in the coastal city of Pekalongan, Central Java, Indonesia, serving as an important stop on the island’s north coast rail corridor.
- 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: Cikarang Station Target entity description: Cikarang Station is a railway station in Cikarang, West Java, Indonesia, serving as a key commuter and intercity rail hub in the eastern Greater Jakarta area.
-
A.
Bekasi Station
Bekasi Station is a major railway station serving commuter and intercity trains in the city of Bekasi, Indonesia.
-
B.
Bogor Station
Bogor Station is a major railway station and commuter rail terminus serving the city of Bogor and the greater Jakarta metropolitan area in Indonesia.
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C.
Tasikmalaya railway station
Tasikmalaya railway station is a key train station in the city of Tasikmalaya, Indonesia, serving as an important regional hub for passenger rail transport.
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D.
Sangen-jaya Station
Sangen-jaya Station is a major railway station in Tokyo’s Setagaya ward, serving as a busy transit hub with direct access to central city areas and a surrounding neighborhood known for its lively dining and nightlife.
-
E.
Pekalongan Station
Pekalongan Station is a major railway station in the coastal city of Pekalongan, Central Java, Indonesia, serving as an important stop on the island’s north coast rail corridor.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
commuter rail station
ⓘ
intercity rail station ⓘ railway station ⓘ |
| adjacentTo | urban and industrial areas of Cikarang ⓘ |
| connectsTo |
Bekasi Station
NERFINISHED
ⓘ
Cikampek Station NERFINISHED ⓘ Jakarta Kota Station NERFINISHED ⓘ Manggarai Station NERFINISHED ⓘ |
| country | Indonesia ⓘ |
| electrification | overhead line ⓘ |
| fareSystem | commuter electronic ticketing system ⓘ |
| hasAccessibilityFeature | ramps or level access ⓘ |
| hasFacility |
parking area
ⓘ
pedestrian access ⓘ ticket counters ⓘ waiting area ⓘ |
| hasFunction | passenger station ⓘ |
| hasPlatformType |
island platform
ⓘ
side platform ⓘ |
| hasRole |
terminus for some commuter services
ⓘ
through station for intercity services ⓘ |
| hasStationCode | CKR NERFINISHED ⓘ |
| hasTracks | multiple tracks ⓘ |
| locatedIn | Cikarang NERFINISHED ⓘ |
| locatedInAdministrativeTerritory |
Bekasi Regency
NERFINISHED
ⓘ
West Java NERFINISHED ⓘ |
| locatedInMetropolitanArea | Greater Jakarta NERFINISHED ⓘ |
| operatedBy |
KAI Commuter
NERFINISHED
ⓘ
Kereta Api Indonesia NERFINISHED ⓘ |
| ownedBy | Kereta Api Indonesia NERFINISHED ⓘ |
| partOf | Jakarta metropolitan rail system NERFINISHED ⓘ |
| railwayLine |
Jakarta Kota–Cikarang line
NERFINISHED
ⓘ
Jakarta–Cikampek railway NERFINISHED ⓘ Manggarai–Cikarang line NERFINISHED ⓘ |
| railwayNetwork | KRL Commuterline NERFINISHED ⓘ |
| serves |
commuter rail traffic
ⓘ
eastern Greater Jakarta area ⓘ intercity rail traffic ⓘ |
| servesCommutersFrom |
Bekasi Regency
NERFINISHED
ⓘ
eastern outskirts of Jakarta ⓘ |
| significance |
key commuter rail hub in eastern Greater Jakarta
ⓘ
key intercity rail hub in eastern Greater Jakarta ⓘ |
| timezone | UTC+7 ⓘ |
| usedByService |
KRL Commuterline Cikarang Line
NERFINISHED
ⓘ
intercity trains between Jakarta and eastern Java ⓘ |
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: Cikarang Station Description of subject: Cikarang Station is a railway station in Cikarang, West Java, Indonesia, serving as a key commuter and intercity rail hub in the eastern Greater Jakarta area.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.