Triple
T7032906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Atom |
E163311
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | SSE3 |
E164899
|
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: SSE3 | Statement: [Intel Atom, supports, SSE3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSE3 Context triple: [Intel Atom, supports, SSE3]
-
A.
SSE3
chosen
SSE3 (Streaming SIMD Extensions 3) is an Intel CPU instruction set extension that adds additional SIMD operations to improve performance in multimedia, gaming, and scientific applications.
-
B.
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.
-
C.
SSE2
SSE2 is an x86 processor instruction set extension introduced by Intel that adds advanced SIMD (Single Instruction, Multiple Data) capabilities for faster floating-point and integer computations.
-
D.
SSE4.1
SSE4.1 is an Intel SIMD instruction set extension that adds advanced vector, integer, and floating-point operations to improve performance in multimedia, graphics, and data-processing applications.
-
E.
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.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e2102f8c819080c983319307846a |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7943ca8548190877d2698265ce7da |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:36 p.m.