Triple
T30026688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Pascal architecture |
E762898
|
entity |
| Predicate | flagshipDatacenterGPU |
P169704
|
FINISHED |
| Object | NVIDIA Tesla P40 |
—
|
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 P40 | Statement: [NVIDIA Pascal architecture, flagshipDatacenterGPU, NVIDIA Tesla P40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipDatacenterGPU Context triple: [NVIDIA Pascal architecture, flagshipDatacenterGPU, NVIDIA Tesla P40]
-
A.
flagshipConsumerGPU
Indicates that the GPU is the top-tier, highest-performing consumer graphics card in a product lineup or generation.
-
B.
dataCenterLocation
Indicates the geographical or physical location where a data center is situated or hosted.
-
C.
supportsDataCenterAbstraction
Indicates that one entity provides or enables an abstraction layer for representing or managing data center resources or functionality.
-
D.
suppliedGPUFor
Indicates that one entity provided or furnished a GPU to another entity for its use or operation.
-
E.
typicalGPUVendor
Indicates that an entity is the standard or commonly used GPU vendor associated with another entity.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 6:48 p.m.