Triple
T3058526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft 365 E5 |
E60539
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | OneNote |
E56705
|
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: OneNote | Statement: [Microsoft 365 E5, includes, OneNote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OneNote Context triple: [Microsoft 365 E5, includes, OneNote]
-
A.
OneNote
chosen
OneNote is Microsoft's digital note-taking application that lets users capture, organize, and sync notes, drawings, and multimedia content across devices.
-
B.
Evernote
Evernote is a cross-platform note-taking and organization application that lets users capture, sync, and manage text, images, and other content across devices.
-
C.
Simplenote
Simplenote is a minimalist, cross-platform note-taking app focused on fast, distraction-free writing and seamless cloud syncing.
-
D.
Microsoft Whiteboard
Microsoft Whiteboard is a digital collaborative canvas application by Microsoft that enables real-time brainstorming, drawing, and idea sharing across devices and teams.
-
E.
OneDrive
OneDrive is Microsoft’s cloud storage and file synchronization service that lets users securely store, access, and share files across devices and online.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e1741648190b710b7022252498d |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef0903cc81909a073fe78dbf0b14 |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.