Triple
T1768037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface Laptop |
E38808
|
entity |
| Predicate | typicalProcessorArchitecture |
P8609
|
FINISHED |
| Object | x86-64 |
—
|
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: x86-64 | Statement: [Surface Laptop, typicalProcessorArchitecture, x86-64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProcessorArchitecture Context triple: [Surface Laptop, typicalProcessorArchitecture, x86-64]
-
A.
cpuArchitecture
chosen
Indicates the type of processor instruction set or hardware architecture that a computing system or component is designed to run on.
-
B.
usesArchitecture
Indicates that one entity is built, implemented, or operates according to the architectural style, framework, or design specified by another entity.
-
C.
graphicsArchitecture
Indicates the underlying design or structural framework that defines how a system’s graphics or visual rendering components are organized and operate.
-
D.
cpu
Indicates that an entity functions as, contains, or is associated with a central processing unit (CPU) in a computational system.
-
E.
microarchitectureFeature
Indicates a relationship where a specific microarchitecture possesses or supports a particular hardware or design feature.
- 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_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.