Triple

T20844
Position Surface form Disambiguated ID Type / Status
Subject World Wide Web Consortium E413 entity
Predicate developsStandard P73 FINISHED
Object WebRTC
WebRTC is an open web technology that enables real-time audio, video, and data communication directly between browsers and devices without requiring plugins.
 E3760 NE FINISHED

How this triple was built (4 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: WebRTC | Statement: [World Wide Web Consortium, developsStandard, WebRTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WebRTC
Context triple: [World Wide Web Consortium, developsStandard, WebRTC]
  • A. WSH
    WSH is the standard sports abbreviation for the Washington Commanders, the National Football League team based in the Washington, D.C. area.
  • B. WAI
    WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • D. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • E. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WebRTC
Triple: [World Wide Web Consortium, developsStandard, WebRTC]
Generated description
WebRTC is an open web technology that enables real-time audio, video, and data communication directly between browsers and devices without requiring plugins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WebRTC
Target entity description: WebRTC is an open web technology that enables real-time audio, video, and data communication directly between browsers and devices without requiring plugins.
  • A. WSH
    WSH is the standard sports abbreviation for the Washington Commanders, the National Football League team based in the Washington, D.C. area.
  • B. WAI
    WAI (Web Accessibility Initiative) is a World Wide Web Consortium (W3C) program that develops guidelines, resources, and standards to make the web accessible to people with disabilities.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • D. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • E. HTTP
    HTTP (Hypertext Transfer Protocol) is the foundational application-layer protocol used for transmitting web pages and other resources across the World Wide Web.
  • F. None of above. chosen

Provenance (5 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a2481e91c88190ad0fb09cddc5f446 completed Feb. 28, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e57e3fc8190a3ce561a4692115c completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24ede3374819089e7fae28c6c9d63 completed Feb. 28, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69a24fc8a2a881909e5ae2e03757fbec completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.