Triple
T17537405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tensor G3 |
E427096
|
entity |
| Predicate | architecture |
P4621
|
FINISHED |
| Object | ARMv9 |
—
|
NE NERFINISHED |
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: ARMv9 | Statement: [Tensor G3, architecture, ARMv9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARMv9 Context triple: [Tensor G3, architecture, ARMv9]
-
A.
ARMv9-A
chosen
ARMv9-A is a modern 64-bit ARM architecture generation that introduces enhanced performance, security, and AI-focused features for advanced processors used in devices like Apple’s M-series chips.
-
B.
ARMv8-A
ARMv8-A is a 64-bit ARM processor architecture generation that introduces the AArch64 execution state and underpins many modern mobile and desktop CPUs.
-
C.
ARMv8.2-M
ARMv8.2-M is a 32-bit ARM microcontroller architecture revision that enhances the ARMv8-M family with improved performance, security, and DSP/ML capabilities for embedded and IoT applications.
-
D.
ARMv8.1-M
ARMv8.1-M is an ARM microcontroller architecture revision that enhances the ARMv8-M baseline with improved performance, security, and DSP capabilities for embedded and IoT applications.
-
E.
ARM Neoverse
ARM Neoverse is a family of 64-bit ARM-based processor platforms designed primarily for high-performance cloud, data center, and infrastructure workloads.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536d03dc81908b8a58f66657c01a |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.