T2
E402725
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| T2 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3965235 — 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: T2 Context triple: [Terminal 2 (O'Hare), alsoKnownAs, T2]
-
A.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
B.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
C.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
-
E.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
- 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: T2 Target entity description: T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
-
A.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
B.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
C.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
-
E.
T3
T3 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
airport terminal
ⓘ
passenger terminal ⓘ |
| alsoKnownAs | Terminal 2 ⓘ |
| hasAccessMode |
airport shuttle connection
ⓘ
airside connections to other terminals ⓘ road access ⓘ |
| hasAirlineOperationsType | passenger ⓘ |
| hasFacilityType |
baggage claim
ⓘ
check-in counters ⓘ gates ⓘ restaurants ⓘ restrooms ⓘ security checkpoints ⓘ shops ⓘ waiting areas ⓘ |
| isConnectedTo |
T1
ⓘ
T3 ⓘ |
| locatedInCity | Chicago ⓘ |
| locatedInCountry |
United States
ⓘ
linked to:
United States of America
|
| locatedInState | Illinois ⓘ |
| partOf |
Chicago O'Hare International Airport
ⓘ
linked to:
O'Hare International Airport
|
| servesFunction |
baggage handling
ⓘ
boarding passengers ⓘ check-in processing ⓘ deplaning passengers ⓘ |
| servesTrafficType |
domestic flights
ⓘ
regional flights ⓘ |
| terminalNumber | 2 ⓘ |
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: T2 Description of subject: T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Terminal 2