Triple
T37767416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A13 Bionic |
E941452
|
entity |
| Predicate | littleCoreMicroarchitecture |
P75683
|
FINISHED |
| Object | Thunder |
—
|
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: Thunder | Statement: [A13 Bionic, littleCoreMicroarchitecture, Thunder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: littleCoreMicroarchitecture Context triple: [A13 Bionic, littleCoreMicroarchitecture, Thunder]
-
A.
smallCoreModel
Indicates that the referenced model is a compact or reduced-capacity version of a larger or more complex core model.
-
B.
microarchitectureClass
chosen
Indicates that one entity is classified as a specific type or category of microarchitecture relative to another entity.
-
C.
smallCoreCount
Indicates that an entity has a relatively low number of processing cores compared to typical or expected configurations.
-
D.
hasMicrocontrollerCore
Indicates that one entity incorporates or contains a microcontroller core as part of its internal components or architecture.
-
E.
includesMicroarchitecture
Indicates that one hardware architecture specification contains or encompasses a particular microarchitecture design as a component or implementation detail.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf1ace0481909c62a08f6b0f8b75 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.