QAA
E168059
QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
All labels observed (1)
| Label | Occurrences |
|---|---|
| QAA canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1457520 — 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: QAA Context triple: [Quetta, vehicleRegistrationCode, QAA]
-
A.
EQA
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
-
B.
QAR
QAR is the Qatari riyal, the official national currency used in the State of Qatar.
-
C.
QQS
QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
-
D.
HAA
HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
-
E.
QA
QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
- 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: QAA Target entity description: QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
-
A.
EQA
EQA is Mercedes-Benz’s compact all-electric SUV designed as part of the brand’s EQ lineup of battery-powered vehicles.
-
B.
QAR
QAR is the Qatari riyal, the official national currency used in the State of Qatar.
-
C.
QQS
QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
-
D.
HAA
HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
-
E.
QA
QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
motor vehicle registration plate code
ⓘ
vehicle registration code ⓘ |
| appliesTo |
cars
ⓘ
commercial vehicles ⓘ motor vehicles ⓘ motorcycles ⓘ |
| capitalOfRegion | Quetta ⓘ |
| category |
road transport in Balochistan
ⓘ
transport in Quetta ⓘ |
| city | Quetta ⓘ |
| country | Pakistan ⓘ |
| countrySubdivision |
Balochistan province
ⓘ
linked to:
Balochistan, Pakistan
|
| denotes | vehicles registered in Quetta ⓘ |
| geographicScope | Quetta ⓘ |
| identifies | place of registration of a vehicle ⓘ |
| isPrefixOn | vehicle registration plates issued in Quetta ⓘ |
| jurisdiction | Excise, Taxation and Anti-Narcotics Department Balochistan ⓘ |
| partOf | Balochistan vehicle registration series ⓘ |
| province |
Balochistan
ⓘ
linked to:
Balochistan, Pakistan
|
| region |
Balochistan
ⓘ
linked to:
Balochistan, Pakistan
|
| registrationPlateFormat | QAA-1234 (example format) ⓘ |
| script | Latin alphabet ⓘ |
| system | Pakistani vehicle registration plate system ⓘ |
| usedFor |
traffic law enforcement
ⓘ
vehicle identification ⓘ vehicle taxation and registration records ⓘ |
| usedIn |
Quetta District
ⓘ
linked to:
Quetta
Quetta city ⓘ
linked to:
Quetta
|
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: QAA Description of subject: QAA is the vehicle registration code assigned to motor vehicles registered in Quetta, the capital city of Pakistan’s Balochistan province.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.