Triple
T1831825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Classroom |
E40777
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Google Meet |
E72238
|
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: Google Meet | Statement: [Google Classroom, integratesWith, Google Meet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Meet Context triple: [Google Classroom, integratesWith, Google Meet]
-
A.
Google Meet
chosen
Google Meet is a video conferencing service by Google that enables online meetings, voice calls, and screen sharing for individuals, businesses, and educational institutions.
-
B.
Zoho Meeting
Zoho Meeting is an online web conferencing and webinar platform that enables users to host virtual meetings, screen sharing, and remote collaboration.
-
C.
Webex
Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
-
D.
Google Chat
Google Chat is a business-focused messaging platform by Google that supports direct messages, group conversations, and integrated collaboration within the Google Workspace ecosystem.
-
E.
Zoom
Zoom is a built-in macOS accessibility feature that magnifies on-screen content to make it easier for users with low vision to see and interact with their display.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb022aef48190975b6d12fc6681ad |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6f212c8190b0d182f8486d9e47 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.