Triple
T8472564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Workbench |
E200312
|
entity |
| Predicate | version |
P3286
|
FINISHED |
| Object | Workbench 3.9 |
E436327
|
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: Workbench 3.9 | Statement: [Workbench, version, Workbench 3.9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Workbench 3.9 Context triple: [Workbench, version, Workbench 3.9]
-
A.
Workbench
Workbench is the graphical user interface and desktop environment of the Amiga computer line, providing icon-based file management and application launching.
-
B.
Posit Workbench
chosen
Posit Workbench is an integrated development environment from Posit (formerly RStudio) that provides a centralized, collaborative platform for data science and analytics work in R, Python, and other languages.
-
C.
SOLIDWORKS
SOLIDWORKS is a widely used 3D computer-aided design (CAD) and engineering software suite for product design, simulation, and manufacturing.
-
D.
Paint 3D
Paint 3D is a modern graphics and 3D modeling application by Microsoft that expands on classic Paint with tools for creating, editing, and sharing both 2D and 3D artwork.
-
E.
Central Workshop
Central Workshop is a key hands-on engineering facility at the Indian Institute of Technology Madras where students receive practical training in manufacturing, fabrication, and mechanical skills.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f4fbf481909e4fd7c078b27477 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea83707e481909f9dfd6450a28d3d |
completed | April 2, 2026, 5:32 p.m. |
Created at: March 30, 2026, 6:11 p.m.