Triple
T10502495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple AI/ML |
E247704
|
entity |
| Predicate | usesHardware |
P33188
|
FINISHED |
| Object | Apple Neural Engine |
E38961
|
NE 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 Neural Engine | Statement: [Apple AI/ML, usesHardware, Apple Neural Engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Neural Engine Context triple: [Apple AI/ML, usesHardware, Apple Neural Engine]
-
A.
Apple Neural Engine
chosen
Apple Neural Engine is Apple’s dedicated on-chip hardware accelerator designed to efficiently perform machine learning and AI computations on its devices.
-
B.
Apple A-series
Apple A-series is a line of custom ARM-based system-on-chip processors designed by Apple to power its mobile devices with high performance and energy efficiency.
-
C.
Apple A11 Bionic
Apple A11 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple for iPhones, notable for significantly boosting performance and efficiency while enabling advanced machine learning and augmented reality features.
-
D.
Apple A12 Bionic
Apple A12 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple that powers several iPhone and iPad models, featuring improved performance and energy efficiency with an integrated neural engine for advanced machine learning tasks.
-
E.
Apple S‑series chip
The Apple S‑series chip is a custom system-in-package used in Apple Watch that integrates CPU, GPU, memory, and other components to deliver efficient performance in a compact wearable form factor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099c6a848190bf1d5361e9e61108 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dccec72481909bcfb6a9c5df7ba9 |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:25 p.m.