WNE
E677315
WNE is the station code for West Newton railway station in West Yorkshire, England.
All labels observed (1)
| Label | Occurrences |
|---|---|
| WNE canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7622224 — 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: WNE Context triple: [West Newton station, hasStationCode, WNE]
-
A.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
B.
WN
WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
-
C.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
D.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
E.
WNL
WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
- 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: WNE Target entity description: WNE is the station code for West Newton railway station in West Yorkshire, England.
-
A.
WN
WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
-
B.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
C.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
D.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
E.
WNL
WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
- F. None of above. chosen
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
railway station code ⓘ |
| appliesToTransportMode | railway ⓘ |
| codeType | three-letter station code ⓘ |
| hasAlphabeticCode | WNE ⓘ |
| hasStationCode | WNE ⓘ |
| locatedInConstituentCountry | England ⓘ |
| locatedInCountry |
England
ⓘ
England ⓘ |
| locatedInCounty |
West Yorkshire
ⓘ
West Yorkshire ⓘ |
| servedBy |
National Rail services
ⓘ
linked to:
National Rail
|
| stationCodeFor |
West Newton railway station
ⓘ
linked to:
West Newton station
|
| usedByNetwork | National Rail ⓘ |
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: WNE Description of subject: WNE is the station code for West Newton railway station in West Yorkshire, England.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
WNE