OT
E353419
OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OT canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3390477 — 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: OT Context triple: [Oranienburger Tor, hasStationCode, OT]
-
A.
OT
OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
-
B.
OTT
OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
-
C.
TO
TO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Kingdom of Tonga.
-
D.
TO
TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
-
E.
TOR
TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
- 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: OT Target entity description: OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
-
A.
OT
OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
-
B.
OTT
OTT is the standard three-letter abbreviation used for the National Hockey League team, the Ottawa Senators.
-
C.
TO
TO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Kingdom of Tonga.
-
D.
TO
TO is the IATA airline designator used by Transavia France, a French low-cost carrier.
-
E.
TOR
TOR is the standard three-letter abbreviation used to represent the Toronto Maple Leafs in sports standings, statistics, and media.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
Berlin U-Bahn station
ⓘ
station code ⓘ |
| country | Germany ⓘ |
| fareSystem | Verkehrsverbund Berlin-Brandenburg ⓘ |
| fareZone | Berlin A ⓘ |
| hasAbbreviation | OT self-linksurface differs ⓘ |
| hasLanguageOfName | German ⓘ |
| hasNumberOfTracks | 2 ⓘ |
| hasPlatformConfiguration | island platform ⓘ |
| hasStationCode | OT ⓘ |
| hasStationCodeSystem | BVG internal code system ⓘ |
| hasStructureType | underground station ⓘ |
| isOnCentralLine | U6 ⓘ |
| isPartOfUrbanRailSystem | Berlin U-Bahn ⓘ |
| isUnderground | true ⓘ |
| locatedInCity | Berlin ⓘ |
| locatedInCountry | Germany ⓘ |
| locatedInDistrict | Mitte ⓘ |
| locatedInNetwork | Berlin U-Bahn ⓘ |
| locatedOnLine | U6 ⓘ |
| namedAfter |
Oranienburger Tor
ⓘ
surface form:
Oranienburger Tor city gate
|
| operator | Berliner Verkehrsbetriebe ⓘ |
| partOf |
U5 line
ⓘ
surface form:
U6 line
|
| publicTransportSystem | Berlin U-Bahn ⓘ |
| servedByLine | U6 ⓘ |
| stationCodeFor | Oranienburger Tor ⓘ |
| transportMode |
metro
ⓘ
rapid transit ⓘ |
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: OT Description of subject: OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Oranienburger Tor