Triple
T37665351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nvidia Tegra X2 |
E937807
|
entity |
| Predicate | littleCoreType |
P18973
|
FINISHED |
| Object | ARM Cortex-A57 |
—
|
NE NERFINISHED |
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: ARM Cortex-A57 | Statement: [Nvidia Tegra X2, littleCoreType, ARM Cortex-A57]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: littleCoreType Context triple: [Nvidia Tegra X2, littleCoreType, ARM Cortex-A57]
-
A.
smallCoreModel
Indicates that the referenced model is a compact or reduced-capacity version of a larger or more complex core model.
-
B.
typicalCoreType
chosen
Indicates that something is a standard or characteristic core type within a given classification or system.
-
C.
coreUnitType
Indicates that one entity is classified as the primary or fundamental type/category to which another entity (a core unit) belongs.
-
D.
smallCoreCount
Indicates that an entity has a relatively low number of processing cores compared to typical or expected configurations.
-
E.
mediumCoreCount
Indicates that an entity has a moderate or intermediate number of processing cores relative to a defined scale or range.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba9e001c88190912781fa9a84f246 |
completed | May 6, 2026, 8:51 p.m. |
| PD | Predicate disambiguation | batch_69fba887821c8190ae93ef1dd389e9c8 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.