Triple
T1936845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AltiVec |
E41460
|
entity |
| Predicate | similarTo |
P4460
|
FINISHED |
| Object | ARM NEON |
E198707
|
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 NEON | Statement: [AltiVec, similarTo, ARM NEON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARM NEON Context triple: [AltiVec, similarTo, ARM NEON]
-
A.
NEON SIMD
chosen
NEON SIMD is ARM's advanced Single Instruction, Multiple Data (SIMD) instruction set extension designed to accelerate multimedia, signal processing, and other parallelizable workloads on ARM processors.
-
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.
AltiVec
AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
-
D.
ARM
ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
-
E.
SSSE3
SSSE3 (Supplemental Streaming SIMD Extensions 3) is an Intel SIMD instruction set extension that enhances performance for multimedia, signal processing, and other parallelizable workloads.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f6285c8190925af156f49cf9a2 |
completed | March 8, 2026, 10:11 p.m. |
Created at: March 4, 2026, 7:36 p.m.