Triple
T11660300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nvidia Tegra X1 |
E277101
|
entity |
| Predicate | maxMemoryBandwidth |
P13752
|
FINISHED |
| Object | 25.6 GB/s |
—
|
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: 25.6 GB/s | Statement: [Nvidia Tegra X1, maxMemoryBandwidth, 25.6 GB/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxMemoryBandwidth Context triple: [Nvidia Tegra X1, maxMemoryBandwidth, 25.6 GB/s]
-
A.
memoryBandwidth
chosen
Indicates the rate at which data can be transferred to or from a memory system over a given period of time.
-
B.
maxUnifiedMemory
Indicates the maximum amount of unified (shared CPU/GPU) memory that can be allocated or used in a given context.
-
C.
maxMemoryChannels
Indicates the maximum number of memory channels that an entity can support or utilize.
-
D.
maxRAMUnofficial
Indicates the maximum amount of RAM that can be used or installed in an unofficial or unsupported configuration.
-
E.
maxRAMOfficial
Indicates the officially specified maximum amount of RAM that is supported or allowed for an entity (such as a device or system).
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d19c788190826d849a6ffedc72 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.