Nmnl
E398378
Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nmnl canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3910906 — 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: Nmnl Context triple: [Nijmegen Lent railway station, hasAbbreviation, Nmnl]
-
A.
NMB
NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
B.
nm
nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NAM
NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- 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: Nmnl Target entity description: Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
-
A.
NMB
NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
B.
nm
nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NAM
NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
railway station code
ⓘ
standard railway station code ⓘ |
| appliesTo | Nijmegen Lent railway station ⓘ |
| associatedWithCity | Nijmegen NERFINISHED ⓘ |
| associatedWithProvince | Gelderland NERFINISHED ⓘ |
| category | Dutch railway station codes ⓘ |
| codeFor | Nijmegen Lent ⓘ |
| codeType | station code ⓘ |
| country | Netherlands ⓘ |
| hasLanguage | Dutch ⓘ |
| identifies | Nijmegen Lent railway station ⓘ |
| isAbbreviationOf | Nijmegen Lent ⓘ |
| locatedInRailNetworkOf | Netherlands ⓘ |
| notationSystem | alphabetic station code ⓘ |
| refersTo |
Nijmegen Lent railway station
ⓘ
surface form:
Nijmegen Lent station
|
| region | eastern Netherlands ⓘ |
| standardizedBy | Dutch railway authorities ⓘ |
| transportMode | rail ⓘ |
| usedBy | Nederlandse Spoorwegen ⓘ |
| usedFor |
operational planning
ⓘ
ticketing ⓘ timetables ⓘ |
| usedIn | Dutch railway system ⓘ |
| usedInContext | rail transport in the Netherlands ⓘ |
| usedOn |
departure boards
ⓘ
railway databases ⓘ railway information 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: Nmnl Description of subject: Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.