Triple
T1810370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple M1 Ultra |
E40316
|
entity |
| Predicate | integratesComponent |
P1075
|
FINISHED |
| Object | 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: Neural Engine | Statement: [Apple M1 Ultra, integratesComponent, Neural Engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neural Engine Context triple: [Apple M1 Ultra, integratesComponent, 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.
NVIDIA DRIVE
NVIDIA DRIVE is NVIDIA’s automotive computing platform designed to power advanced driver-assistance systems and autonomous driving capabilities in vehicles.
-
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.
Calliope mini
Calliope mini is a small educational microcontroller board designed to teach children and beginners programming and electronics through interactive projects.
-
E.
PlaidML
PlaidML is an open-source, hardware-agnostic deep learning engine designed to accelerate neural network computation on a wide range of GPUs and other devices.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0003d308190a024f8c03c5f5dad |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5e352d88190839cde25e3c07d95 |
completed | March 8, 2026, 5:46 p.m. |
Created at: March 4, 2026, 7:32 p.m.