Triple
T8414861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NEON SIMD |
E198707
|
entity |
| Predicate | distinctFrom |
P1612
|
FINISHED |
| Object | ARM SVE2 |
E732964
|
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: ARM SVE2 | Statement: [NEON SIMD, distinctFrom, ARM SVE2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM SVE2 Context triple: [NEON SIMD, distinctFrom, ARM SVE2]
-
A.
ARM SVE
chosen
ARM SVE (Scalable Vector Extension) is an ARM architecture extension that provides flexible, length-agnostic vector processing capabilities aimed at high-performance computing and data-intensive workloads.
-
B.
V (vector extension)
V (vector extension) is the RISC-V standard for scalable vector processing, enabling efficient parallel computation on variable-length data vectors.
-
C.
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.
-
D.
AVX-512
AVX-512 is an advanced SIMD instruction set for x86 processors that enables high-throughput parallel processing using 512-bit wide vector operations.
-
E.
ARMv9-A
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.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d3d9f848190bd425b80aa58a376 |
completed | April 2, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:06 p.m.