Triple
T1810363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple M1 Ultra |
E40316
|
entity |
| Predicate | unifiedMemoryCapacity |
P11230
|
FINISHED |
| Object | up to 128 GB |
—
|
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: up to 128 GB | Statement: [Apple M1 Ultra, unifiedMemoryCapacity, up to 128 GB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unifiedMemoryCapacity Context triple: [Apple M1 Ultra, unifiedMemoryCapacity, up to 128 GB]
-
A.
maxUnifiedMemory
chosen
Indicates the maximum amount of unified (shared CPU/GPU) memory that can be allocated or used in a given context.
-
B.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
C.
memoryBandwidth
Indicates the rate at which data can be transferred to or from a memory system over a given period of time.
-
D.
addressSpaceSize
Indicates the total amount of addressable memory or identifier range allocated or available within a given address space.
-
E.
memoryType
Indicates the specific category or kind of memory associated with an entity or process.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.