Ohlsdorf station
E903523
Ohlsdorf station is a public transit railway station in Hamburg, Germany, serving as an interchange between S-Bahn, U-Bahn, and local bus services near the Ohlsdorf cemetery.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ohlsdorf station canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T10950920 — 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: Ohlsdorf station Context triple: [Hamburg S-Bahn line S1, servesStation, Ohlsdorf station]
-
A.
Halensee station
Halensee station is a Berlin S-Bahn railway station in the Charlottenburg-Wilmersdorf district, serving as a local transit stop on the city’s western ring line.
-
B.
Nordostbahnhof station
Nordostbahnhof station is an underground Nuremberg U-Bahn stop in the city’s northeast, serving the Nordostbahnhof area on line U2.
-
C.
Ostkreuz station
Ostkreuz station is a major railway and S-Bahn interchange in Berlin, Germany, serving as one of the city's busiest public transport hubs.
-
D.
Werder (Havel) station
Werder (Havel) station is a regional railway station in the town of Werder (Havel) in Brandenburg, Germany, providing rail connections to nearby cities including Berlin and Potsdam.
-
E.
Frankfurter Allee station
Frankfurter Allee station is a public transit station in Berlin that serves both S-Bahn and U-Bahn lines, connecting the Friedrichshain district with the wider city network.
- 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: Ohlsdorf station Target entity description: Ohlsdorf station is a public transit railway station in Hamburg, Germany, serving as an interchange between S-Bahn, U-Bahn, and local bus services near the Ohlsdorf cemetery.
-
A.
Halensee station
Halensee station is a Berlin S-Bahn railway station in the Charlottenburg-Wilmersdorf district, serving as a local transit stop on the city’s western ring line.
-
B.
Nordostbahnhof station
Nordostbahnhof station is an underground Nuremberg U-Bahn stop in the city’s northeast, serving the Nordostbahnhof area on line U2.
-
C.
Ostkreuz station
Ostkreuz station is a major railway and S-Bahn interchange in Berlin, Germany, serving as one of the city's busiest public transport hubs.
-
D.
Werder (Havel) station
Werder (Havel) station is a regional railway station in the town of Werder (Havel) in Brandenburg, Germany, providing rail connections to nearby cities including Berlin and Potsdam.
-
E.
Frankfurter Allee station
Frankfurter Allee station is a public transit station in Berlin that serves both S-Bahn and U-Bahn lines, connecting the Friedrichshain district with the wider city network.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
S-Bahn station
ⓘ
U-Bahn station ⓘ railway station ⓘ rapid transit station ⓘ |
| category |
Hamburg S-Bahn stations
ⓘ
Hamburg U-Bahn stations ⓘ Railway stations in Hamburg ⓘ |
| city | Hamburg ⓘ |
| connectsWith |
Hamburg Airport (via S-Bahn line S1)
ⓘ
linked to:
Hamburg Airport station
|
| country | Germany ⓘ |
| fareZone | HVV ⓘ |
| hasAccessibility | accessible via stairs and passages ⓘ |
| hasElectrification | electrified tracks ⓘ |
| hasInterchange | bus services ⓘ |
| hasNameLanguage | German ⓘ |
| hasPassengerBuilding | station building ⓘ |
| hasService |
S-Bahn
ⓘ
U-Bahn ⓘ local bus ⓘ |
| hasStationCode |
Ohlsdorf
ⓘ
linked to:
Ohlsdorf, Hamburg
|
| hasTicketingSystem | HVV integrated ticketing ⓘ |
| hasTracks | multiple tracks ⓘ |
| isPartOf |
Hamburg public transport network
ⓘ
linked to:
Hamburg transport network
|
| locatedIn | Hamburg ⓘ |
| locatedInAdministrativeTerritory |
Free and Hanseatic City of Hamburg
ⓘ
linked to:
Hamburg
|
| locatedInDistrict | Hamburg-Nord ⓘ |
| locatedInQuarter |
Ohlsdorf
ⓘ
linked to:
Ohlsdorf, Hamburg
|
| locatedNear |
Ohlsdorf cemetery main entrance
ⓘ
linked to:
Ohlsdorf Cemetery
|
| metroLine | Hamburg U-Bahn line U1 ⓘ |
| nearbyLandmark |
Ohlsdorf cemetery
ⓘ
linked to:
Ohlsdorf Cemetery
|
| operator |
Hamburger Hochbahn AG
ⓘ
linked to:
Hamburger Hochbahn
S-Bahn Hamburg GmbH ⓘ |
| platformType |
island platform
ⓘ
side platform ⓘ |
| primaryFunction | public transit interchange ⓘ |
| publicTransportAuthority | Hamburger Verkehrsverbund ⓘ |
| railwayLine |
Hamburg S-Bahn line S1
ⓘ
Hamburg S-Bahn line S11 ⓘ |
| railwayNetwork |
Hamburg S-Bahn
ⓘ
Hamburg U-Bahn ⓘ |
| serves |
Ohlsdorf cemetery
ⓘ
linked to:
Ohlsdorf Cemetery
|
| servesTransportMode |
bus
ⓘ
metro ⓘ rail ⓘ |
| structureType | surface station ⓘ |
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: Ohlsdorf station Description of subject: Ohlsdorf station is a public transit railway station in Hamburg, Germany, serving as an interchange between S-Bahn, U-Bahn, and local bus services near the Ohlsdorf cemetery.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.