Triple

T22028131
Position Surface form Disambiguated ID Type / Status
Subject Jitsi E544016 entity
Predicate component P35 FINISHED
Object Jitsi Videobridge NE NERFINISHED

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: Jitsi Videobridge | Statement: [Jitsi, component, Jitsi Videobridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jitsi Videobridge
Context triple: [Jitsi, component, Jitsi Videobridge]
  • A. Jitsi chosen
    Jitsi is an open-source, cross-platform suite of real-time voice, video, and chat communication tools focused on secure, encrypted conferencing.
  • B. WebRTC
    WebRTC is an open web technology that enables real-time audio, video, and data communication directly between browsers and devices without requiring plugins.
  • C. Linphone
    Linphone is an open-source Voice over IP (VoIP) softphone application that supports audio and video calls, messaging, and encryption across multiple platforms.
  • D. Zoom SDKs
    Zoom SDKs are software development kits that allow developers to embed Zoom’s video, audio, chat, and collaboration capabilities directly into their own applications and services.
  • E. Twilio Video
    Twilio Video is a cloud-based platform that enables developers to embed real-time video and audio communication into web and mobile applications using APIs and SDKs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cdf5c08190ac804664d6e56fe2 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.