Triple
T7388393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adreno |
E170438
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Apple GPU |
E198713
|
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 GPU | Statement: [Adreno, competesWith, Apple GPU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple GPU Context triple: [Adreno, competesWith, Apple GPU]
-
A.
Apple GPU
chosen
Apple GPU is Apple’s custom-designed graphics processing unit used in its devices to deliver high-performance, energy-efficient graphics and compute acceleration.
-
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 Neural Engine
Apple Neural Engine is Apple’s dedicated on-chip hardware accelerator designed to efficiently perform machine learning and AI computations on its devices.
-
D.
Apple M1
Apple M1 is Apple’s first in-house ARM-based system-on-a-chip for Macs, known for its high performance and power efficiency compared to previous Intel-based processors.
-
E.
Apple silicon
Apple silicon is Apple’s custom family of ARM-based system-on-a-chip processors that power modern Macs and other Apple devices, offering high performance with improved energy efficiency.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e56fb48190976612d2a94d6ee5 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.