HAFAS: GOS
E889920
HAFAS: GOS is the public transport timetable system code used to identify Goslar railway station in Germany.
All labels observed (2)
| Label | Occurrences |
|---|---|
| HAFAS | 1 |
| HAFAS: GOS canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10865099 — 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: HAFAS: GOS Context triple: [Goslar station, hasStationCode, HAFAS: GOS]
-
A.
RailBlazer
RailBlazer is a steel single-rail roller coaster at California’s Great America known for its tight maneuvers and dynamic, high-thrill layout.
-
B.
regional Train Advise Assist Commands
The regional Train Advise Assist Commands are NATO-led headquarters in Afghanistan responsible for training, advising, and assisting Afghan security forces within designated regions under the Resolute Support Mission.
-
C.
DB Fernverkehr
DB Fernverkehr is the long-distance passenger rail division of Germany’s national railway company, operating Intercity, Eurocity, and high-speed ICE train services across Germany and neighboring countries.
-
D.
DB Regio Bus
DB Regio Bus is the regional and local bus transport division of Deutsche Bahn, operating extensive bus services across Germany.
-
E.
Frankfurt public transport network
The Frankfurt public transport network is an integrated system of trams, buses, S-Bahn, and U-Bahn services that provides comprehensive urban and regional mobility across Frankfurt and its surrounding areas.
- 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: HAFAS: GOS Target entity description: HAFAS: GOS is the public transport timetable system code used to identify Goslar railway station in Germany.
-
A.
RailBlazer
RailBlazer is a steel single-rail roller coaster at California’s Great America known for its tight maneuvers and dynamic, high-thrill layout.
-
B.
regional Train Advise Assist Commands
The regional Train Advise Assist Commands are NATO-led headquarters in Afghanistan responsible for training, advising, and assisting Afghan security forces within designated regions under the Resolute Support Mission.
-
C.
DB Fernverkehr
DB Fernverkehr is the long-distance passenger rail division of Germany’s national railway company, operating Intercity, Eurocity, and high-speed ICE train services across Germany and neighboring countries.
-
D.
DB Regio Bus
DB Regio Bus is the regional and local bus transport division of Deutsche Bahn, operating extensive bus services across Germany.
-
E.
Frankfurt public transport network
The Frankfurt public transport network is an integrated system of trams, buses, S-Bahn, and U-Bahn services that provides comprehensive urban and regional mobility across Frankfurt and its surrounding areas.
- F. None of above. chosen
Statements (18)
| Predicate | Object |
|---|---|
| instanceOf |
HAFAS station code
ⓘ
public transport timetable station code ⓘ |
| codeFormat | alphanumeric ⓘ |
| codeSystem | HAFAS ⓘ |
| codeValue | GOS ⓘ |
| country | Germany ⓘ |
| identifies |
Goslar railway station
ⓘ
linked to:
Goslar station
|
| locatedIn |
Germany
ⓘ
Goslar ⓘ Lower Saxony ⓘ |
| stationName | Goslar ⓘ |
| stationType | railway station ⓘ |
| usedBy |
journey planner applications based on HAFAS
ⓘ
public transport operators in Germany ⓘ |
| usedFor |
journey planning
ⓘ
timetable queries ⓘ |
| usedIn |
HAFAS
ⓘ
linked to:
HAFAS: GOS
public transport timetable 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: HAFAS: GOS Description of subject: HAFAS: GOS is the public transport timetable system code used to identify Goslar railway station in Germany.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: HAFAS: GOS