Triple
T29031158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A11 Bionic |
E737728
|
entity |
| Predicate | CPUCoreTypeLittle |
P34298
|
FINISHED |
| Object | Mistral efficiency core |
—
|
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: Mistral efficiency core | Statement: [A11 Bionic, CPUCoreTypeLittle, Mistral efficiency core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CPUCoreTypeLittle Context triple: [A11 Bionic, CPUCoreTypeLittle, Mistral efficiency core]
-
A.
l2CacheLittleCores
Indicates that there is an L2 cache associated specifically with the system’s little (low-power) CPU cores.
-
B.
smallCoreModel
Indicates that the referenced model is a compact or reduced-capacity version of a larger or more complex core model.
-
C.
smallCoreCount
Indicates that an entity has a relatively low number of processing cores compared to typical or expected configurations.
-
D.
CPUCoreConfiguration
Indicates the specific arrangement and characteristics of processor cores allocated or defined within a computing system.
-
E.
hasCPUCore
chosen
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6603953f88190a8805a698456ab58 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:55 a.m.