Triple
T35959642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summit |
E1039959
|
entity |
| Predicate | gpuPerNode |
P148053
|
FINISHED |
| Object | 6 NVIDIA Tesla V100 GPUs |
—
|
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: 6 NVIDIA Tesla V100 GPUs | Statement: [Summit, gpuPerNode, 6 NVIDIA Tesla V100 GPUs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gpuPerNode Context triple: [Summit, gpuPerNode, 6 NVIDIA Tesla V100 GPUs]
-
A.
usesNumberOfGPUs
chosen
Indicates that an entity operates with, depends on, or is configured to utilize a specified number of GPUs.
-
B.
maxNVLinkGPUs
Indicates the maximum number of GPUs that can be interconnected via NVLink in a given configuration or system.
-
C.
gpuType
Indicates the specific kind or model category of GPU associated with an entity.
-
D.
cpusPerNode
Indicates the number of CPU units allocated or available on each individual node in a system or cluster.
-
E.
gpuComputePerformance
Indicates the level of processing capability a GPU can deliver for computational tasks, typically measured in operations per unit time.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.