Triple
T2051783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple M2 Max |
E45584
|
entity |
| Predicate | CPUcoreType |
P34298
|
FINISHED |
| Object | Avalanche performance 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: Avalanche performance cores | Statement: [Apple M2 Max, CPUcoreType, Avalanche performance cores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CPUcoreType Context triple: [Apple M2 Max, CPUcoreType, Avalanche performance cores]
-
A.
cpuModel
Indicates the specific processor model associated with a given computing device or system.
-
B.
cpuCoreMicroarchitecture
Indicates the specific microarchitecture design implemented in a given CPU core.
-
C.
cpuFamily
Indicates that one CPU belongs to, or is categorized under, a particular CPU family or architecture lineage.
-
D.
hasCPUCore
chosen
Indicates that an entity (typically a computing device or processor) possesses or includes a specific CPU core as one of its components.
-
E.
cpuArchitecture
Indicates the type of processor instruction set or hardware architecture that a computing system or component is designed to run on.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99078d88190bc30fa4596f0bae8 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.