Triple
T22028130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jitsi |
E544016
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | Jitsi Meet |
—
|
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 Meet | Statement: [Jitsi, component, Jitsi Meet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jitsi Meet Context triple: [Jitsi, component, Jitsi Meet]
-
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.
BlueJeans
BlueJeans is a cloud-based video conferencing and collaboration platform used for virtual meetings, webinars, and remote communication.
-
C.
JioMeet
JioMeet is an Indian video conferencing and online meeting platform developed by Reliance Jio Platforms as a domestic alternative to global services like Zoom and Microsoft Teams.
-
D.
Webex
Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
-
E.
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.
- 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.