Triple
T7933844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prezi |
E184242
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Google Slides |
E35330
|
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: Google Slides | Statement: [Prezi, competesWith, Google Slides]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Slides Context triple: [Prezi, competesWith, Google Slides]
-
A.
Google Slides
chosen
Google Slides is a web-based presentation application by Google that lets users create, edit, collaborate on, and present slide decks online.
-
B.
PowerPoint
PowerPoint is a widely used Microsoft presentation software application for creating, editing, and delivering slide-based visual presentations.
-
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.
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.
-
E.
Google Docs
Google Docs is a cloud-based word processing application by Google that allows users to create, edit, and collaborate on documents in real time through a web browser or mobile app.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aeb132c8190bea4906aaf51b869 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe011ccec8190ab60d18b761666af |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:08 p.m.