Triple
T264844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OneDrive |
E5700
|
entity |
| Predicate | integratedWith |
P2830
|
FINISHED |
| Object | Windows 10 |
E5904
|
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: Windows 10 | Statement: [OneDrive, integratedWith, Windows 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windows 10 Context triple: [OneDrive, integratedWith, Windows 10]
-
A.
Windows
chosen
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
B.
Windows RT
Windows RT is a tablet-focused edition of Microsoft's Windows operating system designed to run on ARM-based devices and limited to apps from the Windows Store.
-
C.
Microsoft Edge
Microsoft Edge is a web browser developed by Microsoft that serves as the default browser for Windows and supports modern web standards and technologies.
-
D.
TB12
TB12 is the widely used nickname and personal brand of legendary NFL quarterback Tom Brady, often associated with his jersey number and fitness/lifestyle company.
-
E.
ChromeOS
ChromeOS is Google's lightweight, cloud-centric operating system designed primarily for Chromebooks and focused on running web applications and Android apps securely and efficiently.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8f9bbc8190a13841e4de093a66 |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38f4fa8908190961d1bc22a75a081 |
completed | March 1, 2026, 12:58 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.