Triple
T29858946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Volta architecture |
E758262
|
entity |
| Predicate | flagshipComputeGPU |
P11228
|
FINISHED |
| Object | NVIDIA Tesla V100 |
—
|
NE NERFINISHED |
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: NVIDIA Tesla V100 | Statement: [NVIDIA Volta architecture, flagshipComputeGPU, NVIDIA Tesla V100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipComputeGPU Context triple: [NVIDIA Volta architecture, flagshipComputeGPU, NVIDIA Tesla V100]
-
A.
suppliedGPUFor
Indicates that one entity provided or furnished a GPU to another entity for its use or operation.
-
B.
gpuType
chosen
Indicates the specific kind or model category of GPU associated with an entity.
-
C.
supportsGPUType
Indicates that one entity is compatible with, or capable of operating using, a specified type of GPU.
-
D.
supportsGPUBrand
Indicates that one entity is compatible with, or provides functional support for, a specified GPU brand.
-
E.
GPUPerformanceClaim
Indicates a statement asserting or characterizing the performance capabilities of a GPU, often in terms of speed, efficiency, or comparative advantage.
- F. None of above.
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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67683fde88190bf2f338ec18dcaca |
completed | May 2, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 5:48 p.m.