Triple
T8703878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft 365 Education |
E206597
|
entity |
| Predicate | includesService |
P1393
|
FINISHED |
| Object | OneDrive |
E5700
|
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: OneDrive | Statement: [Microsoft 365 Education, includesService, OneDrive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OneDrive Context triple: [Microsoft 365 Education, includesService, OneDrive]
-
A.
OneDrive
chosen
OneDrive is Microsoft’s cloud storage and file synchronization service that lets users securely store, access, and share files across devices and online.
-
B.
Zoho WorkDrive
Zoho WorkDrive is a cloud-based file storage, collaboration, and team content management platform offered by Zoho.
-
C.
Google Drive
Google Drive is a cloud-based file storage and synchronization service by Google that lets users store, share, and access files from any internet-connected device.
-
D.
Naver Drive
Naver Drive is a cloud storage and file-sharing service provided by Naver, allowing users to store, sync, and access files across devices.
-
E.
Dropbox
Dropbox is a cloud-based file storage and collaboration company known for enabling users to easily sync and share files across devices.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fa0a208190a520e0e1f7faaea9 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef41e3ec08190b29adf483cdf8cc3 |
completed | April 2, 2026, 10:56 p.m. |
Created at: March 30, 2026, 6:34 p.m.