LEG
E1019496
LEG is the National Rail station code for Lea Green railway station in Merseyside, England.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LEG canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T13092870 — 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: LEG Context triple: [Lea Green, hasStationCode, LEG]
-
A.
LEG
LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
-
B.
LEG
LEG is the commonly used abbreviation for the Faculty of Law, Economics and Governance at Utrecht University, which combines legal, economic and governance disciplines.
-
C.
LEM
LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
-
D.
LAG
LAG is the commonly used abbreviation for the LA Galaxy, a professional Major League Soccer club based in the Los Angeles area.
-
E.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
- 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: LEG Target entity description: LEG is the National Rail station code for Lea Green railway station in Merseyside, England.
-
A.
LEG
LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
-
B.
LEG
LEG is the commonly used abbreviation for the Faculty of Law, Economics and Governance at Utrecht University, which combines legal, economic and governance disciplines.
-
C.
LEM
LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
-
D.
LAG
LAG is the commonly used abbreviation for the LA Galaxy, a professional Major League Soccer club based in the Los Angeles area.
-
E.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf | National Rail station code ⓘ |
| appliesTo | passenger rail services ⓘ |
| associatedWith |
railway timetables
ⓘ
real-time departure boards ⓘ ticketing systems ⓘ |
| codeSystem | UK National Rail station codes ⓘ |
| country |
England
ⓘ
England ⓘ |
| hasFormat | three-letter alphabetic code ⓘ |
| hasStationCode | LEG ⓘ |
| identifierFor | Lea Green railway station ⓘ |
| locatedIn |
Merseyside
ⓘ
Merseyside ⓘ St Helens ⓘ St Helens ⓘ |
| railNetwork |
National Rail network
ⓘ
linked to:
National Rail
|
| servedBy |
Northern Trains
ⓘ
TransPennine Express ⓘ |
| stationCodeFor | Lea Green railway station ⓘ |
| usedBy | 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: LEG Description of subject: LEG is the National Rail station code for Lea Green railway station in Merseyside, England.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
LEG