TAVHL
E386830
TAVHL is the stock ticker symbol for TAV Airports Holding, a Turkish company that develops and operates airport terminals and related services.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T3765889 — 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: TAVHL Context triple: [TAV Airports, tickerSymbol, TAVHL]
-
A.
TLH
TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
-
B.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
C.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
D.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
-
E.
TLV
TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
- 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: TAVHL Target entity description: TAVHL is the stock ticker symbol for TAV Airports Holding, a Turkish company that develops and operates airport terminals and related services.
-
A.
TLH
TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
-
B.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
C.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
D.
ÁVH
ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
-
E.
TLV
TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
airport operator
ⓘ
public company ⓘ stock ticker symbol ⓘ |
| businessModel |
develops airport terminals
ⓘ
operates airport terminals ⓘ provides related airport services ⓘ |
| coreBusiness |
airport development
ⓘ
airport operation ⓘ non-aviation commercial services at airports ⓘ |
| country | Turkey ⓘ |
| hasAbbreviation |
TAV
ⓘ
linked to:
TAVHL
|
| hasCustomerType |
airlines
ⓘ
airport authorities ⓘ airport passengers ⓘ retail and concession partners ⓘ |
| hasStockTicker | TAVHL ⓘ |
| hasSubsidiary | airport services companies ⓘ |
| headquartersLocation | Istanbul ⓘ |
| industry |
airport catering
ⓘ
airport operations ⓘ airport security services ⓘ aviation ⓘ duty-free retail ⓘ ground handling services ⓘ |
| legalForm | holding company ⓘ |
| listedOn | Borsa Istanbul ⓘ |
| operatesInSector |
infrastructure
ⓘ
transportation ⓘ |
| ownsBrand |
TAV Airports
ⓘ
linked to:
TAV Airports Holding
|
| regionServed |
Europe
ⓘ
Middle East ⓘ North Africa ⓘ Turkey ⓘ |
| represents | TAV Airports Holding ⓘ |
| serviceType |
IT and technical services for airports
ⓘ
airport management ⓘ catering ⓘ commercial area management ⓘ ground handling ⓘ passenger services ⓘ security ⓘ terminal operations ⓘ |
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: TAVHL Description of subject: TAVHL is the stock ticker symbol for TAV Airports Holding, a Turkish company that develops and operates airport terminals and related services.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
TAV Airports (stakeholder)
subject linked to:
TAVHL