Sangen-jaya Station
E224813
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sangen-jaya Station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1209285 — 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: Sangen-jaya Station Context triple: [Tokyu Den-en-toshi Line, notableStation, Sangen-jaya Station]
-
A.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
B.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
C.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
D.
Heiwadai Station
Heiwadai Station is a subway station in Tokyo, Japan, served by the Tokyo Metro Fukutoshin Line (and typically also the Yurakucho Line), providing local commuter access in the Nerima ward.
-
E.
Kencho-mae Station
Kencho-mae Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in central Naha, Japan, serving as a key access point to the Okinawa Prefectural Government Office 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: Sangen-jaya Station Target entity description: 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.
-
A.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
B.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
C.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
-
D.
Heiwadai Station
Heiwadai Station is a subway station in Tokyo, Japan, served by the Tokyo Metro Fukutoshin Line (and typically also the Yurakucho Line), providing local commuter access in the Nerima ward.
-
E.
Kencho-mae Station
Kencho-mae Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in central Naha, Japan, serving as a key access point to the Okinawa Prefectural Government Office area.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
train station ⓘ transport hub ⓘ |
| connectsToArea |
central Tokyo
ⓘ
surface form:
Downtown Tokyo
Shibuya ⓘ central Tokyo ⓘ |
| country | Japan ⓘ |
| hasAccessibilityFeature |
barrier-free access
ⓘ
elevators ⓘ escalators ⓘ |
| hasFareSystem | distance-based fare ⓘ |
| hasFunction |
commuter rail station
ⓘ
transit hub ⓘ |
| hasNativeName | 三軒茶屋駅 ⓘ |
| hasNativeNameLanguage | Japanese ⓘ |
| hasNearbyFacility |
bus stops
ⓘ
taxi stands ⓘ |
| hasNearbyLandmark | Carrot Tower ⓘ |
| hasNearbyRoad | National Route 246 ⓘ |
| hasOperator | Tokyu Corporation ⓘ |
| hasPlatformType |
island platform
ⓘ
side platform ⓘ |
| hasStructureType |
elevated station
ⓘ
underground station ⓘ |
| hasTicketing |
IC card compatible gates
ⓘ
automatic ticket gates ⓘ |
| hasTransportationMode | rail ⓘ |
| isInPrefecture | Tokyo Prefecture ⓘ |
| isInRegion | Kantō region ⓘ |
| isMajorStopOn |
Tokyu Den-en-toshi Line
NERFINISHED
ⓘ
Tokyu Setagaya Line NERFINISHED ⓘ |
| locatedIn |
Setagaya
ⓘ
Tokyo ⓘ Tokyo metropolitan area ⓘ
surface form:
Tokyo Metropolis
|
| locatedInAdministrativeTerritorialEntity |
Setagaya
ⓘ
surface form:
Setagaya Ward
|
| locatedInDistrict | Sangenjaya ⓘ |
| locatedInTimeZone | Japan Standard Time ⓘ |
| operatedBy | Tokyu Corporation ⓘ |
| partOfNetwork | Tokyu railway network ⓘ |
| railwayLine |
Tokyu Den-en-toshi Line
NERFINISHED
ⓘ
Tokyu Setagaya Line NERFINISHED ⓘ |
| servesLine |
Tokyu Den-en-toshi Line
NERFINISHED
ⓘ
Tokyu Setagaya Line NERFINISHED ⓘ |
| servesNeighborhood |
Sangenjaya commercial district
ⓘ
Sangenjaya nightlife area ⓘ |
| surroundedBy |
bars
ⓘ
cafes ⓘ restaurants ⓘ shops ⓘ |
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: Sangen-jaya Station Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.