Triple
T1668896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power View |
E36076
|
entity |
| Predicate | supportsExport |
P203
|
FINISHED |
| Object | PowerPoint |
E34629
|
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: PowerPoint | Statement: [Power View, supportsExport, PowerPoint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PowerPoint Context triple: [Power View, supportsExport, PowerPoint]
-
A.
PowerPoint
chosen
PowerPoint is a widely used Microsoft presentation software application for creating, editing, and delivering slide-based visual presentations.
-
B.
LibreOffice Impress
LibreOffice Impress is the free, open-source presentation component of the LibreOffice suite, used to create and display slide-based presentations across multiple platforms.
-
C.
Prezi
Prezi is a cloud-based presentation software known for its zoomable, non-linear canvas that offers a more dynamic alternative to traditional slide-based tools.
-
D.
Google Slides
Google Slides is a web-based presentation application by Google that lets users create, edit, collaborate on, and present slide decks online.
-
E.
Word
Word is Microsoft’s widely used word processing application for creating, editing, and formatting text documents.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90adf3d3c81909233e574e79b82a2 |
completed | March 5, 2026, 4:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad683461ec8190b442054443c472b3 |
completed | March 8, 2026, 12:14 p.m. |
Created at: March 4, 2026, 7:29 p.m.