ZLS
E636415
ZLS is the IATA airport code assigned to a specific airfield or airport associated with the location abbreviated as LST.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ZLS canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7040330 — 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: ZLS Context triple: [LST, hasIATAcode, ZLS]
-
A.
ZL
ZL is the IATA airline designator used by Rex Airlines, a regional carrier based in Australia.
-
B.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
C.
ZLP
ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
-
D.
ZWL
ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
-
E.
ZEL
ZEL is the National Rail station code assigned to Elephant & Castle station in London.
- 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: ZLS Target entity description: ZLS is the IATA airport code assigned to a specific airfield or airport associated with the location abbreviated as LST.
-
A.
ZL
ZL is the IATA airline designator used by Rex Airlines, a regional carrier based in Australia.
-
B.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
C.
ZLP
ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
-
D.
ZWL
ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
-
E.
ZEL
ZEL is the National Rail station code assigned to Elephant & Castle station in London.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf | IATA airport code ⓘ |
| appliesToLocation | LST ⓘ |
| codeType | airport ⓘ |
| hasStatus | assigned ⓘ |
| identifierFor | a specific airfield or airport ⓘ |
| isAbbreviationFor | an airfield or airport associated with LST ⓘ |
| isManagedBy | International Air Transport Association ⓘ |
| isRelatedTo | LST ⓘ |
| notationSystem | three-letter IATA code ⓘ |
| usedFor | air transport identification ⓘ |
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: ZLS Description of subject: ZLS is the IATA airport code assigned to a specific airfield or airport associated with the location abbreviated as LST.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Liverpool Street