Triple

T10329221
Position Surface form Disambiguated ID Type / Status
Subject Open Web Platform E242834 entity
Predicate hasComponent P35 FINISHED
Object User Timing API E544641 NE FINISHED

How this triple was built (2 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: User Timing API | Statement: [Open Web Platform, hasComponent, User Timing API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: User Timing API
Context triple: [Open Web Platform, hasComponent, User Timing API]
  • 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. 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. Timing
    "Timing" is a conceptual artwork by Hungarian artist Dóra Maurer that explores perception, movement, and the passage of time through systematic visual transformations.
  • D. Profiler
    Profiler is a performance analysis tool in Android development used to monitor and optimize an app’s CPU, memory, network, and energy usage in real time.
  • E. Timeline panel
    The Timeline panel is a performance profiling tool in Web Inspector that visualizes page activity over time, such as loading, scripting, rendering, and layout events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cfd54c8190b6f88598339536d1 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71db4a8dc81909adb2a044e74fd6b completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.