GB-TOF
E301112
GB-TOF is the ISO 3166-2 subdivision code assigned to the county borough of Torfaen in Wales, United Kingdom.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GB-TOF canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2823635 — 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: GB-TOF Context triple: [Torfaen, ISO3166-2Code, GB-TOF]
-
A.
SCIEX
SCIEX is a leading analytical instrumentation company best known for its mass spectrometry and capillary electrophoresis technologies used in life sciences and analytical laboratories.
-
B.
TMB 4000 series
The TMB 4000 series is a class of electric multiple unit trains used on the Barcelona Metro system for passenger service.
-
C.
Cobas
Cobas is Roche's line of automated clinical laboratory analyzers and diagnostic systems widely used for blood testing and other in vitro diagnostics.
-
D.
TMB 5000 series
The TMB 5000 series is a class of modern electric multiple unit trains used on the Barcelona Metro network.
-
E.
TMB 3000 series
The TMB 3000 series is a class of electric multiple unit trains used on the Barcelona Metro system for passenger service.
- 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: GB-TOF Target entity description: GB-TOF is the ISO 3166-2 subdivision code assigned to the county borough of Torfaen in Wales, United Kingdom.
-
A.
SCIEX
SCIEX is a leading analytical instrumentation company best known for its mass spectrometry and capillary electrophoresis technologies used in life sciences and analytical laboratories.
-
B.
TMB 4000 series
The TMB 4000 series is a class of electric multiple unit trains used on the Barcelona Metro system for passenger service.
-
C.
Cobas
Cobas is Roche's line of automated clinical laboratory analyzers and diagnostic systems widely used for blood testing and other in vitro diagnostics.
-
D.
TMB 5000 series
The TMB 5000 series is a class of modern electric multiple unit trains used on the Barcelona Metro network.
-
E.
TMB 3000 series
The TMB 3000 series is a class of electric multiple unit trains used on the Barcelona Metro system for passenger service.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
ISO 3166-2 code
ⓘ
geocode ⓘ |
| appliesToJurisdiction |
Torfaen
ⓘ
surface form:
Torfaen county borough
|
| codeFormat | two-letter country code plus three-letter subdivision code ⓘ |
| codeStatus | active ⓘ |
| countryCode | GB ⓘ |
| countrySubdivisionCategory | principal subdivisions of the United Kingdom ⓘ |
| hasCountryCodePart | GB ⓘ |
| hasCountrySubdivisionCode | TOF ⓘ |
| hasLanguage | English ⓘ |
| hasScript | Latin ⓘ |
| isSubdivisionCodeInCountry | United Kingdom ⓘ |
| isSubdivisionCodeOf | Torfaen ⓘ |
| locatedIn |
United Kingdom
ⓘ
Wales ⓘ |
| partOfStandard |
ISO 3166
ⓘ
surface form:
ISO 3166-2
|
| regionCodeScope | subnational ⓘ |
| standardizedBy | International Organization for Standardization ⓘ |
| subdivisionName | Torfaen ⓘ |
| subdivisionType | county borough ⓘ |
| usedFor | administrative subdivision identification ⓘ |
| usedIn |
administrative records
ⓘ
databases ⓘ geographic information systems ⓘ statistical reporting ⓘ |
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: GB-TOF Description of subject: GB-TOF is the ISO 3166-2 subdivision code assigned to the county borough of Torfaen in Wales, United Kingdom.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.