Triple
T31873476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA GeForce RTX 4060 Ti |
E813672
|
entity |
| Predicate | memorySizeVariant |
P30786
|
FINISHED |
| Object | 8 GB |
—
|
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: 8 GB | Statement: [NVIDIA GeForce RTX 4060 Ti, memorySizeVariant, 8 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorySizeVariant Context triple: [NVIDIA GeForce RTX 4060 Ti, memorySizeVariant, 8 GB]
-
A.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
B.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
-
C.
modelSize
Indicates the quantitative measure of how large or complex a model is, typically in terms of parameters, layers, or memory footprint.
-
D.
videoMemorySize
chosen
Indicates the amount of video memory associated with a graphics-related component or device.
-
E.
typicalRAMRange
Indicates the usual or commonly expected range of RAM capacity associated with an entity.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 30, 2026, 11:55 p.m.