Triple
T1994919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NVIDIA DRIVE |
E43335
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | NVIDIA DRIVE Hyperion reference architecture |
E43335
|
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: NVIDIA DRIVE Hyperion reference architecture | Statement: [NVIDIA DRIVE, hasComponent, NVIDIA DRIVE Hyperion reference architecture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NVIDIA DRIVE Hyperion reference architecture Context triple: [NVIDIA DRIVE, hasComponent, NVIDIA DRIVE Hyperion reference architecture]
-
A.
NVIDIA DRIVE
chosen
NVIDIA DRIVE is NVIDIA’s automotive computing platform designed to power advanced driver-assistance systems and autonomous driving capabilities in vehicles.
-
B.
NVIDIA AI Enterprise software suite
NVIDIA AI Enterprise software suite is a comprehensive, enterprise-grade collection of AI tools, frameworks, and optimized software designed to accelerate the development and deployment of AI and data analytics workloads across modern data centers and clouds.
-
C.
NVIDIA Jetson embedded modules
NVIDIA Jetson embedded modules are compact, power-efficient computing platforms designed for edge AI and robotics applications, integrating GPU-accelerated processing for tasks like computer vision and deep learning.
-
D.
Tesla in-car operating system
Tesla in-car operating system is the proprietary software platform that powers Tesla vehicles’ central touchscreen interface, navigation, media, and vehicle controls, integrating driving functions with entertainment and connectivity features.
-
E.
Mobileye
Mobileye is an Israeli technology company specializing in advanced driver-assistance systems and autonomous driving solutions, known for its computer vision and mapping technologies used by major automakers worldwide.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86537748190a2b5e3fd44ac6430 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033c6cf88190acf6418f0d784914 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.