Triple
T22041258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Web Performance API |
E544641
|
entity |
| Predicate | exposesInterface |
P12981
|
FINISHED |
| Object | PerformanceEventTiming |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PerformanceEventTiming | Statement: [Web Performance API, exposesInterface, PerformanceEventTiming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PerformanceEventTiming Context triple: [Web Performance API, exposesInterface, PerformanceEventTiming]
-
A.
Web performance API
The Web performance API is a set of browser interfaces that enable precise measurement, analysis, and optimization of web page and application performance.
-
B.
User Timing
User Timing is a W3C web performance API that lets developers precisely measure and analyze the timing of specific parts of their web applications.
-
C.
Navigation Timing
Navigation Timing is a W3C web performance API that provides detailed timing metrics for measuring and analyzing the loading behavior of web pages.
-
D.
Performance Insights
Performance Insights is an Amazon Web Services database performance monitoring and tuning tool that helps analyze and optimize database workloads.
-
E.
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.
- 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: PerformanceEventTiming Target entity description: PerformanceEventTiming is a Web Performance API interface that provides detailed timing metrics for user input events to help analyze and improve input responsiveness.
-
A.
Web performance API
chosen
The Web performance API is a set of browser interfaces that enable precise measurement, analysis, and optimization of web page and application performance.
-
B.
User Timing
User Timing is a W3C web performance API that lets developers precisely measure and analyze the timing of specific parts of their web applications.
-
C.
Navigation Timing
Navigation Timing is a W3C web performance API that provides detailed timing metrics for measuring and analyzing the loading behavior of web pages.
-
D.
Performance Insights
Performance Insights is an Amazon Web Services database performance monitoring and tuning tool that helps analyze and optimize database workloads.
-
E.
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.
- F. None of above.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.