T5

E180749
airport terminal former airport terminal

T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
T5 canonical 2

Statements (26)

Predicate Object
instanceOf airport terminal ⓘ
former airport terminal ⓘ
associatedWith Berlin Brandenburg Airport passenger operations ⓘ
category Airport terminals in Germany ⓘ
Former transport infrastructure in Germany ⓘ
closureReason cessation of commercial passenger operations at the terminal ⓘ
country Germany ⓘ
function handling arriving passengers ⓘ
handling departing passengers ⓘ
hasIATACode none (terminal, not an airport) ⓘ
hasRunways no (uses airport runways of Berlin Brandenburg Airport) ⓘ
locatedIn Berlin Brandenburg Airport ⓘ
Brandenburg ⓘ
Germany ⓘ
Schönefeld ⓘ
operationalStatus no longer in operation ⓘ
partOf Berlin Brandenburg Airport ⓘ
infrastructure of Berlin Brandenburg Airport ⓘ
previousFunction passenger terminal ⓘ
served commercial air traffic ⓘ
servedCity Berlin ⓘ
servedRegion Berlin-Brandenburg metropolitan region ⓘ
surface form: Berlin metropolitan area
status closed ⓘ
transportType air transport ⓘ
usedBy airlines operating at Berlin Brandenburg Airport (historically) ⓘ
usedFor passenger 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: T5
Description of subject: T5 is a former passenger terminal of Berlin Brandenburg Airport that handled commercial air traffic before being closed to operations.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Berlin Brandenburg Airport → hasPassengerTerminalDesignation → T5 ⓘ
Terminal 5 → terminalDesignation → T5 ⓘ
subject surface form: Terminal 5 (Berlin Brandenburg Airport)