Triple
T1775278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Air (M1, 2020) |
E38962
|
entity |
| Predicate | gpuModel |
P11228
|
FINISHED |
| Object | Apple M1 integrated 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: Apple M1 integrated GPU | Statement: [MacBook Air (M1, 2020), gpuModel, Apple M1 integrated GPU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gpuModel Context triple: [MacBook Air (M1, 2020), gpuModel, Apple M1 integrated GPU]
-
A.
gpuType
chosen
Indicates the specific kind or model category of GPU associated with an entity.
-
B.
neuralEngineType
Indicates the specific kind or category of neural processing engine associated with or used by an entity.
-
C.
acceleratorType
Indicates the kind or category of accelerator associated with or used by an entity.
-
D.
gpuCoreCount
Indicates the number of processing cores present in a GPU.
-
E.
graphicsArchitecture
Indicates the underlying design or structural framework that defines how a system’s graphics or visual rendering components are organized and operate.
- 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.