R99
E522243
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R99 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T5479639 — 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: R99 Context triple: [Release 99, alsoKnownAs, R99]
-
A.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
B.
R29
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
-
C.
R68
The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
-
D.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
-
E.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
- 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: R99 Target entity description: R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
-
A.
R91
R91 is the hull number of the French Navy's flagship aircraft carrier Charles de Gaulle, the country's first nuclear-powered surface vessel.
-
B.
R29
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
-
C.
R68
The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
-
D.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
-
E.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
release identifier
ⓘ
software version designation ⓘ |
| appliesTo |
digital services
ⓘ
hardware products ⓘ software products ⓘ technical standards ⓘ |
| contextDependence | meaning depends on the specific project or product ⓘ |
| denotes |
99th iteration
ⓘ
99th product release ⓘ 99th version ⓘ |
| hasComponent |
letter R
ⓘ
number 99 ⓘ |
| isAbstractDesignation | true ⓘ |
| mayIndicate |
build number 99
ⓘ
release number 99 ⓘ revision number 99 ⓘ |
| namingPattern | R + two‑digit numeric index ⓘ |
| notationType | alphanumeric code ⓘ |
| notGloballyUnique | true ⓘ |
| purpose |
distinguish one release from earlier or later releases
ⓘ
identify a specific iteration of a product or standard ⓘ |
| usedInContextOf |
product lifecycle management
ⓘ
software development ⓘ standards versioning ⓘ |
| versionOrdering |
follows R98 in a numeric sequence
ⓘ
precedes R100 in a numeric sequence ⓘ |
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: R99 Description of subject: R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.