Triple
T2426654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A12Z Bionic |
E53543
|
entity |
| Predicate | CPUCoreConfiguration |
P39131
|
FINISHED |
| Object | 4 performance cores and 4 efficiency cores |
—
|
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 performance cores and 4 efficiency cores | Statement: [Apple A12Z Bionic, CPUCoreConfiguration, 4 performance cores and 4 efficiency cores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CPUCoreConfiguration Context triple: [Apple A12Z Bionic, CPUCoreConfiguration, 4 performance cores and 4 efficiency cores]
-
A.
cpuCoreMicroarchitecture
Indicates the specific microarchitecture design implemented in a given CPU core.
-
B.
hasCPUCore
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
-
C.
gpuCoreCount
Indicates the number of processing cores present in a GPU.
-
D.
coreCountCPU
Indicates the number of processing cores that a CPU has.
-
E.
cpuModel
Indicates the specific processor model associated with a given computing device 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcc73d2e48190b6ad5f3ee75b74eb |
completed | March 7, 2026, 6:57 a.m. |
Created at: March 6, 2026, 9:42 p.m.