Triple
T2654402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A14 Bionic |
E53974
|
entity |
| Predicate | l2CacheLittleCores |
P41982
|
FINISHED |
| Object | 4 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: 4 MB shared | Statement: [Apple A14 Bionic, l2CacheLittleCores, 4 MB shared]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: l2CacheLittleCores Context triple: [Apple A14 Bionic, l2CacheLittleCores, 4 MB shared]
-
A.
secondaryCpu
Indicates that one CPU functions as a secondary or backup processor in relation to a primary CPU.
-
B.
CPUCoreConfiguration
Indicates the specific arrangement and characteristics of processor cores allocated or defined within a computing system.
-
C.
performanceCores
Indicates a relationship where certain cores within a processor are designated as high-performance cores optimized for speed and intensive tasks.
-
D.
cpuCoreMicroarchitecture
Indicates the specific microarchitecture design implemented in a given CPU core.
-
E.
neuralEngineCores
Indicates the number or configuration of neural engine processing cores associated with a given hardware or system.
- F. None of above. chosen
Provenance (4 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda0a13308190a986df86270258a7 |
completed | March 7, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.