GSER
E235257
GSER (Generic String Encoding Rules) is a textual encoding format for ASN.1 data structures designed to represent values in a human-readable string form.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GSER canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2114048 — 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: GSER Context triple: [ASN.1, hasEncodingRule, GSER]
-
A.
Gers
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
-
B.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
C.
GS
GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
-
D.
GSB
GSB is Stanford University's renowned graduate business school, offering MBA and other advanced management programs and known for its innovation, entrepreneurship focus, and global impact.
-
E.
BGer
BGer is the commonly used German abbreviation for the Federal Supreme Court of Switzerland, the country's highest judicial authority.
- 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: GSER Target entity description: GSER (Generic String Encoding Rules) is a textual encoding format for ASN.1 data structures designed to represent values in a human-readable string form.
-
A.
Gers
Gers is a river in southwestern France that flows through the historical region of Gascony before joining the Garonne.
-
B.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
C.
GS
GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
-
D.
GSB
GSB is Stanford University's renowned graduate business school, offering MBA and other advanced management programs and known for its innovation, entrepreneurship focus, and global impact.
-
E.
BGer
BGer is the commonly used German abbreviation for the Federal Supreme Court of Switzerland, the country's highest judicial authority.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
ASN.1 encoding rule
ⓘ
textual encoding format ⓘ |
| abbreviationOf | Generic String Encoding Rules ⓘ |
| category |
data interchange format
ⓘ
serialization format ⓘ |
| contrastWith |
BER
ⓘ
CER ⓘ DER ⓘ PER ⓘ binary ASN.1 encodings ⓘ |
| dataFormat | text format ⓘ |
| designedFor | ASN.1 data structures ⓘ |
| domain |
data serialization
ⓘ
network protocols ⓘ telecommunications ⓘ |
| encodingType |
string-based encoding
ⓘ
textual encoding ⓘ |
| fullName |
Generic String Encoding Rules
ⓘ
linked to:
Unicode text processing algorithms
|
| hasProperty |
human-readable
ⓘ
machine-processable ⓘ |
| purpose | to represent ASN.1 values in a human-readable way ⓘ |
| relatedTo |
ASN.1
ⓘ
encoding rules for ASN.1 ⓘ |
| representationForm | human-readable string form ⓘ |
| represents | ASN.1 values ⓘ |
| standardizationContext |
ISO/IEC ASN.1 ecosystem
ⓘ
linked to:
ASN.1
ITU-T ASN.1 ecosystem ⓘ |
| supports | encoding of structured data ⓘ |
| usedFor |
debugging ASN.1 data
ⓘ
interchange of ASN.1 values in text form ⓘ testing ASN.1-based systems ⓘ |
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: GSER Description of subject: GSER (Generic String Encoding Rules) is a textual encoding format for ASN.1 data structures designed to represent values in a human-readable string form.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.