Triple
T21741733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A5 |
E536674
|
entity |
| Predicate | supportsNEON |
P145190
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Apple A5, supportsNEON, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNEON Context triple: [Apple A5, supportsNEON, yes]
-
A.
supportsNeuralNetworkAcceleration
Indicates that one entity provides hardware or software capabilities that enhance the speed or efficiency of neural network computations for another entity.
-
B.
supportsAVX
Indicates that one entity provides or is compatible with AVX (Advanced Vector Extensions) functionality for another entity or operation.
-
C.
supportsAVX2
Indicates that one entity provides or has compatibility with AVX2 (Advanced Vector Extensions 2) instruction set capabilities for another.
-
D.
supportsAES-NI
Indicates that an entity (typically hardware or software) provides support for the AES-NI (Advanced Encryption Standard New Instructions) set of CPU instructions used to accelerate AES encryption and decryption operations.
-
E.
supportsGPUType
Indicates that one entity is compatible with, or capable of operating using, a specified type of GPU.
- F. None of above. chosen
Provenance (4 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7322348190b2145fa922c480ed |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:49 p.m.