Triple
T1775279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Air (M1, 2020) |
E38962
|
entity |
| Predicate | gpuCoreOptions |
P11227
|
FINISHED |
| Object | 7-core GPU |
—
|
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: 7-core GPU | Statement: [MacBook Air (M1, 2020), gpuCoreOptions, 7-core GPU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gpuCoreOptions Context triple: [MacBook Air (M1, 2020), gpuCoreOptions, 7-core GPU]
-
A.
gpuCoreCount
chosen
Indicates the number of processing cores present in a GPU.
-
B.
performanceCores
Indicates a relationship where certain cores within a processor are designated as high-performance cores optimized for speed and intensive tasks.
-
C.
gpuType
Indicates the specific kind or model category of GPU associated with an entity.
-
D.
cpuCoreMicroarchitecture
Indicates the specific microarchitecture design implemented in a given CPU core.
-
E.
graphicsAdapter
Indicates a relationship where a device or system is associated with, uses, or is equipped with a particular graphics adapter (graphics processing hardware).
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.