Triple

T8284225

Position	Surface form	Disambiguated ID	Type / Status
Subject	P (packed-SIMD extension)	`E193751`	entity
Predicate	relatedConcept	`P37`	FINISHED
Object	SIMD within a register (SWAR) SIMD within a register (SWAR) is a technique that exploits standard CPU registers and instructions to perform parallel operations on multiple smaller data elements packed into a single register, enabling data-level parallelism without dedicated vector hardware.	`E723422`	NE FINISHED

How this triple was built (4 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: SIMD within a register (SWAR) | Statement: [P (packed-SIMD extension), relatedConcept, SIMD within a register (SWAR)]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: SIMD within a register (SWAR)
Context triple: [P (packed-SIMD extension), relatedConcept, SIMD within a register (SWAR)]

A. NEON SIMD
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. P (packed-SIMD extension)
P (packed-SIMD extension) is a RISC-V instruction set extension that adds packed single-instruction multiple-data operations to accelerate parallel data processing tasks such as signal processing and multimedia workloads.
C. Intel SSE
Intel SSE is a set of SIMD (Single Instruction, Multiple Data) instruction extensions for x86 processors designed to accelerate multimedia, gaming, and scientific applications through parallel data processing.
D. 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.
E. CLMUL
CLMUL is an x86 instruction set extension that accelerates carry-less multiplication operations used in cryptography and error-correcting codes.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: SIMD within a register (SWAR)
Triple: [P (packed-SIMD extension), relatedConcept, SIMD within a register (SWAR)]

Generated description

SIMD within a register (SWAR) is a technique that exploits standard CPU registers and instructions to perform parallel operations on multiple smaller data elements packed into a single register, enabling data-level parallelism without dedicated vector hardware.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: SIMD within a register (SWAR)
Target entity description: SIMD within a register (SWAR) is a technique that exploits standard CPU registers and instructions to perform parallel operations on multiple smaller data elements packed into a single register, enabling data-level parallelism without dedicated vector hardware.

A. NEON SIMD
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. P (packed-SIMD extension)
P (packed-SIMD extension) is a RISC-V instruction set extension that adds packed single-instruction multiple-data operations to accelerate parallel data processing tasks such as signal processing and multimedia workloads.
C. Intel SSE
Intel SSE is a set of SIMD (Single Instruction, Multiple Data) instruction extensions for x86 processors designed to accelerate multimedia, gaming, and scientific applications through parallel data processing.
D. 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.
E. CLMUL
CLMUL is an x86 instruction set extension that accelerates carry-less multiplication operations used in cryptography and error-correcting codes.
F. None of above. chosen

Provenance (5 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_69ca82e217a48190880695635c44b2ed`	completed	March 30, 2026, 2:04 p.m.
NER	Named-entity recognition	`batch_69cb7ad0535081908bb234cfc0e32b32`	completed	March 31, 2026, 7:42 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cd687e64a08190a45a1cf5f5c32291`	completed	April 1, 2026, 6:48 p.m.
NEDg	Description generation	`batch_69cd6d55196881909cf5ec925792e09f`	completed	April 1, 2026, 7:09 p.m.
NED2	Entity disambiguation (via description)	`batch_69cd7e20f71c8190959319c6683a2810`	completed	April 1, 2026, 8:20 p.m.

Created at: March 30, 2026, 5:52 p.m.