GRV
E781130
GRV is the National Rail station code for Gravesend railway station in Kent, England.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GRV canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9147546 — 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: GRV Context triple: [Gravesend railway station, stationCode, GRV]
-
A.
GRV
GRV is the IATA airport code for Grozny Airport, the main air gateway serving Grozny in the Chechen Republic of Russia.
-
B.
GVRA
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
-
C.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
D.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
E.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
- 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: GRV Target entity description: GRV is the National Rail station code for Gravesend railway station in Kent, England.
-
A.
GRV
GRV is the IATA airport code for Grozny Airport, the main air gateway serving Grozny in the Chechen Republic of Russia.
-
B.
GVRA
GVRA is a state agency in Georgia that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and maintain employment.
-
C.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
D.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
E.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf | National Rail station code ⓘ |
| appliesTo | passenger rail services ⓘ |
| country |
England
ⓘ
England ⓘ |
| identifies | Gravesend railway station NERFINISHED ⓘ |
| locatedIn |
Gravesend
NERFINISHED
ⓘ
Gravesend NERFINISHED ⓘ Kent NERFINISHED ⓘ Kent NERFINISHED ⓘ |
| railNetwork | National Rail ⓘ |
| servedBy | National Rail services NERFINISHED ⓘ |
| stationCode | GRV ⓘ |
| usedFor |
journey planning
ⓘ
ticketing ⓘ timetables ⓘ |
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: GRV Description of subject: GRV is the National Rail station code for Gravesend railway station in Kent, England.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.