Triple
T2554722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OneNote |
E56705
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | SharePoint |
E7152
|
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: SharePoint | Statement: [OneNote, integratesWith, SharePoint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SharePoint Context triple: [OneNote, integratesWith, SharePoint]
-
A.
SharePoint
chosen
SharePoint is a Microsoft web-based collaboration and document management platform used for creating intranet sites, managing content, and enabling team collaboration within organizations.
-
B.
CSOM
CSOM is the Carroll School of Management, the business school of Boston College known for its undergraduate and graduate programs in business and management.
-
C.
OneDrive
OneDrive is Microsoft’s cloud storage and file synchronization service that lets users securely store, access, and share files across devices and online.
-
D.
SharePoint Framework
SharePoint Framework is a client-side development model and toolset for building custom, modern web parts and extensions that run in SharePoint Online and SharePoint on-premises.
-
E.
Microsoft 365
Microsoft 365 is a subscription-based suite of productivity and collaboration tools that combines Office applications with cloud services, security features, and device management.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd30d20e081908587c76064573150 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af839ead648190a8781299da30969b |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:48 p.m.