CUT
E301127
CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CUT canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2823843 — 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: CUT Context triple: [Cutty Sark DLR station, railCode, CUT]
-
A.
CUT
CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
-
B.
Cuts
Cuts is an American television sitcom that aired on UPN, featuring Shannon Elizabeth in a comedic role set around a family-owned barbershop.
-
C.
Cuts (TV series)
Cuts is an American sitcom that aired on UPN in the mid-2000s, focusing on the comedic ups and downs of running a family-owned barbershop in Baltimore.
-
D.
Gaillard Cut
Gaillard Cut is a historically significant, narrow, excavated channel through the Continental Divide in Panama that forms a key segment of the Panama Canal.
-
E.
Crosscut
Crosscut is a nonprofit, Seattle-based online news outlet known for its in-depth coverage of politics, public policy, and regional issues in the Pacific Northwest.
- 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: CUT Target entity description: CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
-
A.
CUT
CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
-
B.
Cuts
Cuts is an American television sitcom that aired on UPN, featuring Shannon Elizabeth in a comedic role set around a family-owned barbershop.
-
C.
Cuts (TV series)
Cuts is an American sitcom that aired on UPN in the mid-2000s, focusing on the comedic ups and downs of running a family-owned barbershop in Baltimore.
-
D.
Gaillard Cut
Gaillard Cut is a historically significant, narrow, excavated channel through the Continental Divide in Panama that forms a key segment of the Panama Canal.
-
E.
Crosscut
Crosscut is a nonprofit, Seattle-based online news outlet known for its in-depth coverage of politics, public policy, and regional issues in the Pacific Northwest.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf | National Rail station code ⓘ |
| assignedBy | National Rail ⓘ |
| associatedStationName |
Cutty Sark for Maritime Greenwich
ⓘ
linked to:
Maritime Greenwich
|
| associatedWith | Docklands Light Railway ⓘ |
| codeType | three-letter station code ⓘ |
| country | United Kingdom ⓘ |
| countryCode | GB ⓘ |
| dataUsedBy |
online journey planners
ⓘ
rail ticket retail systems ⓘ timetable databases ⓘ |
| fareSystem | London fare zones ⓘ |
| language | English ⓘ |
| locatedIn |
London
ⓘ
linked to:
London, England
|
| network |
National Rail network
ⓘ
linked to:
National Rail
|
| railSystem | British railway system ⓘ |
| refersTo | Cutty Sark DLR station ⓘ |
| region | Greater London ⓘ |
| servesArea | Greenwich ⓘ |
| servesAttraction |
Cutty Sark museum ship
ⓘ
linked to:
Cutty Sark
Maritime Greenwich World Heritage Site ⓘ
linked to:
Maritime Greenwich
|
| standard | National Location Code system ⓘ |
| transportAuthority | Transport for London ⓘ |
| transportMode | light rail ⓘ |
| usedFor |
journey planning
ⓘ
rail ticketing ⓘ |
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: CUT Description of subject: CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.