Triple
T11631843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A13 Bionic |
E276416
|
entity |
| Predicate | l2CacheForPerformanceCores |
P41981
|
FINISHED |
| Object | 8 MB shared |
—
|
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 MB shared | Statement: [Apple A13 Bionic, l2CacheForPerformanceCores, 8 MB shared]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: l2CacheForPerformanceCores Context triple: [Apple A13 Bionic, l2CacheForPerformanceCores, 8 MB shared]
-
A.
l2CacheBigCores
chosen
Indicates that the relationship or action involves the L2 cache associated with the system’s big (high-performance) cores.
-
B.
l2CacheLittleCores
Indicates that there is an L2 cache associated specifically with the system’s little (low-power) CPU cores.
-
C.
l2CacheType
Indicates the specific configuration or design category of an entity’s level-2 (L2) cache in a memory hierarchy.
-
D.
L2Cache
Indicates that one entity functions as a level-2 cache for another, storing intermediate data or results to speed up repeated access or computation.
-
E.
l1CachePerLittleCore
Indicates the size or capacity of the level-1 cache associated with each little (low-power) core in a processor.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25aa9188190ab13d79139f37e7e |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.