Olson database
E31483
The Olson database is a widely used, standardized repository of time zone information that underpins accurate timekeeping across computer systems and applications worldwide.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Olson database canonical | 1 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
IANA time zone database
ⓘ
software standard ⓘ time zone database ⓘ |
| alsoKnownAs |
IANA time zone database
ⓘ
surface form:
tz database
zoneinfo database ⓘ |
| compiledTo | binary zoneinfo files ⓘ |
| contains |
daylight saving time transitions
ⓘ
historical time zone rules ⓘ time zone identifiers ⓘ |
| dataFileExtension |
.tab
ⓘ
.zi ⓘ |
| distributionForm | source code form ⓘ |
| format | text files ⓘ |
| goal | provide consistent time zone data across systems ⓘ |
| governedBy | IANA Time Zone Database policy ⓘ |
| hasMailingList | [email protected] ⓘ |
| importance | de facto standard for time zone data ⓘ |
| influenced |
IANA time zone database
ⓘ
surface form:
POSIX time zone conventions
time zone handling in programming libraries ⓘ |
| license | public-domain-like terms ⓘ |
| maintainedBy | Internet Assigned Numbers Authority ⓘ |
| namedAfter | Arthur David Olson ⓘ |
| originatedBy | Arthur David Olson ⓘ |
| primaryFile |
zone.tab
ⓘ
zone1970.tab ⓘ |
| scope | worldwide time zones ⓘ |
| shortName | tzdb ⓘ |
| standardizedBy | IANA ⓘ |
| supports |
conversion between UTC and local time
ⓘ
future daylight saving time changes ⓘ historical local time calculations ⓘ |
| updated | several times per year ⓘ |
| updateReason |
daylight saving time law changes
ⓘ
government time zone changes ⓘ |
| usedBy |
.NET Framework
ⓘ
surface form:
.NET
Java ⓘ Linux distributions ⓘ PostgreSQL ⓘ Python ⓘ Unix-like operating systems ⓘ macOS ⓘ many programming languages ⓘ |
| usedFor |
civil timekeeping
ⓘ
daylight saving time rules ⓘ time zone information ⓘ |
| usedIn | /usr/share/zoneinfo directory on many 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: Olson database Description of subject: The Olson database is a widely used, standardized repository of time zone information that underpins accurate timekeeping across computer systems and applications worldwide.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.