WPN
E255907
WPN is the station code used to identify White Plains station in transportation and scheduling systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| WPN canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2329083 — 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: WPN Context triple: [White Plains station, code, WPN]
-
A.
WPK
WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
-
B.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
C.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
D.
W8
W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
-
E.
WZ
WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
- 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: WPN Target entity description: WPN is the station code used to identify White Plains station in transportation and scheduling systems.
-
A.
WPK
WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
-
B.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
C.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
D.
W8
W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
-
E.
WZ
WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
railway station code
ⓘ
transportation station identifier ⓘ |
| appliesTo |
rail operators
ⓘ
rail passengers ⓘ |
| category | station codes for White Plains ⓘ |
| disambiguates | White Plains station from other stations with similar names ⓘ |
| domain |
public transportation
ⓘ
rail transport ⓘ |
| hasCodeType | station code ⓘ |
| hasLength | 3 characters ⓘ |
| identifies | a specific physical station location ⓘ |
| isAbbreviationOf | White Plains ⓘ |
| notation |
"WPN"
ⓘ
linked to:
WPN
|
| refersTo | White Plains station ⓘ |
| usedBy |
railway companies
ⓘ
scheduling software ⓘ transport agencies ⓘ |
| usedFor |
operational planning
ⓘ
timetables ⓘ transportation scheduling ⓘ |
| usedIn |
routing systems
ⓘ
ticketing systems ⓘ transportation information systems ⓘ |
| writtenIn | Latin alphabet ⓘ |
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: WPN Description of subject: WPN is the station code used to identify White Plains station in transportation and scheduling systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.