Triple
T29858930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA Volta architecture |
E758262
|
entity |
| Predicate | firstGPUModel |
P111908
|
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, firstGPUModel, NVIDIA Tesla V100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGPUModel Context triple: [NVIDIA Volta architecture, firstGPUModel, NVIDIA Tesla V100]
-
A.
firstGamingGPUsAnnounced
Indicates that the subject announced the first generation of gaming GPUs for the specified object or context.
-
B.
firstModel
Indicates that an entity is the initial or earliest model/version in a sequence or series of models.
-
C.
firstModelIntroduced
chosen
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
D.
suppliedGPUFor
Indicates that one entity provided or furnished a GPU to another entity for its use or operation.
-
E.
firstFlagshipModel
Indicates that the subject is the earliest or initial flagship model associated with the object, typically marking the first leading or premier product in a series or lineup.
- 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_6a01487b73488190954eb5143e6f246e |
completed | May 11, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_6a0145210ae481908da59b02efdbc397 |
completed | May 11, 2026, 2:55 a.m. |
Created at: April 29, 2026, 5:48 p.m.