Triple
T2554718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OneNote |
E56705
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Microsoft Word |
E56704
|
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: Microsoft Word | Statement: [OneNote, integratesWith, Microsoft Word]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Word Context triple: [OneNote, integratesWith, Microsoft Word]
-
A.
Word
chosen
Word is Microsoft’s widely used word processing application for creating, editing, and formatting text documents.
-
B.
Microsoft Office
Microsoft Office is a widely used suite of productivity applications developed by Microsoft, including programs for word processing, spreadsheets, presentations, email, and more.
-
C.
WordPad
WordPad is a basic word processing application for Microsoft Windows that offers more features than Notepad but fewer than full office suites like Microsoft Word.
-
D.
Notepad
Notepad is a simple text-editing program for Windows that allows users to create and edit plain text files without formatting.
-
E.
LibreOffice
LibreOffice is a free, open-source office productivity suite that provides word processing, spreadsheets, presentations, and other tools as an alternative to proprietary software like Microsoft Office.
- 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_69af5d1ad6b4819097f1d18a12aa2b89 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:48 p.m.