Triple
T8238087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft Office |
E192462
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Microsoft Visio |
E186214
|
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 Visio | Statement: [Microsoft Office, hasPart, Microsoft Visio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Visio Context triple: [Microsoft Office, hasPart, Microsoft Visio]
-
A.
Microsoft Visio
chosen
Microsoft Visio is a diagramming and vector graphics application from Microsoft used to create flowcharts, organizational charts, network diagrams, and other visual representations of information.
-
B.
CorelDRAW
CorelDRAW is a widely used vector graphics editor developed by Corel, known for its comprehensive design tools for illustration, layout, and typography.
-
C.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
D.
Sketchpad
Sketchpad is a pioneering early computer graphics program, created by Ivan Sutherland in the 1960s, that introduced fundamental concepts of interactive graphical user interfaces and computer-aided design.
-
E.
ER/Studio
ER/Studio is a data modeling and architecture tool used by database and enterprise architects to design, document, and manage complex data structures across diverse database platforms.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783a8cf48190bf85394fd3bd79e2 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3504e6ac8190b4cb12c80a7e7fc0 |
completed | April 1, 2026, 3:08 p.m. |
Created at: March 30, 2026, 5:47 p.m.