FNH
E464724
FNH is the National Rail station code for Farnham railway station in Surrey, England.
All labels observed (1)
| Label | Occurrences |
|---|---|
| FNH canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4723808 — 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: FNH Context triple: [Farnham railway station, hasStationCode, FNH]
-
A.
FH
FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
-
B.
FHU
FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
-
C.
HN
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
-
D.
HN
HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
-
E.
SNH
SNH is the abbreviation for NatureScot, the public body responsible for protecting and promoting Scotland’s natural heritage.
- 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: FNH Target entity description: FNH is the National Rail station code for Farnham railway station in Surrey, England.
-
A.
FH
FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
-
B.
FHU
FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
-
C.
HN
HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
-
D.
HN
HN is the station code used to identify RAF Honington, a Royal Air Force station in Suffolk, England.
-
E.
SNH
SNH is the abbreviation for NatureScot, the public body responsible for protecting and promoting Scotland’s natural heritage.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf | National Rail station code ⓘ |
| appliesTo | Farnham railway station NERFINISHED ⓘ |
| appliesToInfrastructureType | Railway station ⓘ |
| associatedWithTown | Farnham NERFINISHED ⓘ |
| codeScheme | UK National Rail station codes ⓘ |
| countryCodeContext | GB ⓘ |
| geographicContext | Farnham, Surrey, England NERFINISHED ⓘ |
| hasFunction | Identifies Farnham railway station in rail systems ⓘ |
| identifierType | Three-letter station code ⓘ |
| locatedInCountry | England ⓘ |
| locatedInCounty | Surrey NERFINISHED ⓘ |
| operatorContext | Train operating companies serving Farnham ⓘ |
| railNetwork | National Rail network NERFINISHED ⓘ |
| region | South East England ⓘ |
| represents | Farnham railway station NERFINISHED ⓘ |
| standardizedBy | Rail Delivery Group NERFINISHED ⓘ |
| stationName | Farnham NERFINISHED ⓘ |
| transportMode | Railway ⓘ |
| usedBy | National Rail NERFINISHED ⓘ |
| usedFor |
Fare calculation
ⓘ
Operational scheduling ⓘ Route planning ⓘ |
| usedIn |
Journey planners
ⓘ
Rail timetables ⓘ Real-time train information systems ⓘ Ticketing systems ⓘ |
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: FNH Description of subject: FNH is the National Rail station code for Farnham railway station in Surrey, England.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.