Triple
T14891199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThinkStation |
E359756
|
entity |
| Predicate | supportsGPUType |
P116218
|
FINISHED |
| Object | professional graphics cards |
—
|
LITERAL 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: professional graphics cards | Statement: [ThinkStation, supportsGPUType, professional graphics cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGPUType Context triple: [ThinkStation, supportsGPUType, professional graphics cards]
-
A.
supportsGPUBrand
Indicates that one entity is compatible with, or provides functional support for, a specified GPU brand.
-
B.
suppliedGPUFor
Indicates that one entity provided or furnished a GPU to another entity for its use or operation.
-
C.
supportsExternalGPU
Indicates that an entity is capable of working with or providing connectivity for an external graphics processing unit (eGPU).
-
D.
supports2DGraphicsAcceleration
Indicates that an entity provides hardware or software capabilities to accelerate the processing and rendering of two-dimensional graphics operations.
-
E.
supportsGraphicsSwitching
Indicates that an entity can dynamically switch between different graphics hardware or rendering modes, typically to balance performance and power usage.
- F. None of above. chosen
Provenance (4 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4c76e481909c0aa8d1a978e8d5 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 2:10 a.m.