User Timing
E924905
User Timing is a W3C web performance API that lets developers precisely measure and analyze the timing of specific parts of their web applications.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Performance Timeline API | 1 |
| User Timing canonical | 1 |
| User Timing API | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11429322 — 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.
Target entity: User Timing Context triple: [W3C Web Application technologies, includesStandard, User Timing]
-
A.
Timing
"Timing" is a conceptual artwork by Hungarian artist Dóra Maurer that explores perception, movement, and the passage of time through systematic visual transformations.
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B.
Performance Tracker
Performance Tracker is an annual analysis by the Institute for Government that assesses how effectively UK public services are performing and being managed.
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C.
Time
Time is a 1995 song by the American rock band Screaming Trees, featured on their album "Dust."
-
D.
Time
"Time" is a novel by Stephen Graham that explores themes of temporality and human experience through reflective, often philosophical prose.
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E.
Time
"Time" is a 1981 concept album by Electric Light Orchestra that blends rock and synth-pop in a futuristic, time-travel-themed narrative.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: User Timing Target entity description: User Timing is a W3C web performance API that lets developers precisely measure and analyze the timing of specific parts of their web applications.
-
A.
Timing
"Timing" is a conceptual artwork by Hungarian artist Dóra Maurer that explores perception, movement, and the passage of time through systematic visual transformations.
-
B.
Performance Tracker
Performance Tracker is an annual analysis by the Institute for Government that assesses how effectively UK public services are performing and being managed.
-
C.
Time
Time is a 1995 song by the American rock band Screaming Trees, featured on their album "Dust."
-
D.
Time
"Time" is a novel by Stephen Graham that explores themes of temporality and human experience through reflective, often philosophical prose.
-
E.
Time
"Time" is a 1981 concept album by Electric Light Orchestra that blends rock and synth-pop in a futuristic, time-travel-themed narrative.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Browser API
ⓘ
W3C specification ⓘ Web performance API ⓘ |
| allows |
developers to create custom marks
ⓘ
developers to create custom measures ⓘ filtering performance entries by entryType ⓘ filtering performance entries by name ⓘ |
| appliesTo |
client-side JavaScript
ⓘ
multi-page web applications ⓘ single-page applications ⓘ |
| benefit |
improved user experience through performance tuning
ⓘ
more accurate performance metrics than coarse timers ⓘ |
| category | Web performance optimization ⓘ |
| compatibleWith | most modern web browsers ⓘ |
| conformsTo | High Resolution Time specification ⓘ |
| defines |
duration-based measures
ⓘ
named timestamp marks ⓘ performance entry buffer ⓘ |
| documentedAt | https://www.w3.org/TR/user-timing-2/ ⓘ |
| enables |
custom performance metrics
ⓘ
instrumentation of web applications ⓘ precise measurement of application-specific timing ⓘ |
| exposes |
PerformanceEntry interface
ⓘ
PerformanceMark interface ⓘ PerformanceMeasure interface NERFINISHED ⓘ performance.clearMarks() ⓘ performance.clearMeasures() ⓘ performance.mark() ⓘ performance.measure() ⓘ |
| goal |
enable fine-grained performance analysis
ⓘ
provide standardized timing APIs ⓘ |
| measurementUnit | DOMHighResTimeStamp ⓘ |
| partOf | Web Performance APIs NERFINISHED ⓘ |
| relatedTo |
High Resolution Time
ⓘ
Navigation Timing ⓘ Performance Timeline ⓘ Resource Timing ⓘ |
| standardizedBy | World Wide Web Consortium NERFINISHED ⓘ |
| status | W3C Recommendation NERFINISHED ⓘ |
| successorOf | User Timing Level 1 ⓘ |
| supports | high-resolution timestamps ⓘ |
| usedBy |
performance monitoring tools
ⓘ
real user monitoring (RUM) libraries ⓘ |
| usedFor |
analyzing runtime behavior of web applications
ⓘ
diagnosing performance bottlenecks ⓘ measuring performance of specific code paths ⓘ |
| uses |
Performance interface
NERFINISHED
ⓘ
PerformanceTimeline NERFINISHED ⓘ |
| version | User Timing Level 2 ⓘ |
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.
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.
Subject: User Timing Description of subject: User Timing is a W3C web performance API that lets developers precisely measure and analyze the timing of specific parts of their web applications.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.