Triple
T30026686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Pascal architecture |
E762898
|
entity |
| Predicate | flagshipConsumerGPU |
P169347
|
FINISHED |
| Object | NVIDIA GeForce GTX 1080 |
—
|
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 GeForce GTX 1080 | Statement: [NVIDIA Pascal architecture, flagshipConsumerGPU, NVIDIA GeForce GTX 1080]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipConsumerGPU Context triple: [NVIDIA Pascal architecture, flagshipConsumerGPU, NVIDIA GeForce GTX 1080]
-
A.
suppliedGPUFor
Indicates that one entity provided or furnished a GPU to another entity for its use or operation.
-
B.
supportsGPUType
Indicates that one entity is compatible with, or capable of operating using, a specified type of GPU.
-
C.
supportsGPUBrand
Indicates that one entity is compatible with, or provides functional support for, a specified GPU brand.
-
D.
typicalGPUVendor
Indicates that an entity is the standard or commonly used GPU vendor associated with another entity.
-
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. 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_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 6:48 p.m.