Triple

T10329228
Position Surface form Disambiguated ID Type / Status
Subject Open Web Platform E242834 entity
Predicate hasComponent P35 FINISHED
Object Media Queries E322195 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: Media Queries | Statement: [Open Web Platform, hasComponent, Media Queries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media Queries
Context triple: [Open Web Platform, hasComponent, Media Queries]
  • A. CSS Media Queries chosen
    CSS Media Queries is a CSS feature that enables responsive web design by applying different styles based on characteristics like screen size, resolution, and device orientation.
  • B. Material Design
    Material Design is Google's unified design language that provides guidelines for creating visually consistent, intuitive, and responsive user interfaces across platforms and devices.
  • C. Mobile
    Mobile is a small coastal community in Newfoundland and Labrador, Canada, located on the Avalon Peninsula south of St. John’s.
  • D. Mobile
    Mobile is a historic port city on Alabama’s Gulf Coast known for its shipbuilding, cultural heritage, and hosting one of the oldest Mardi Gras celebrations in the United States.
  • E. Retina display
    Retina display is Apple’s high-resolution screen technology designed to make pixels virtually indistinguishable to the human eye for sharper, more detailed visuals.
  • 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.