Triple
T7279501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiger Lake |
E163110
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | AVX-512 |
E640424
|
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: AVX-512 | Statement: [Tiger Lake, supports, AVX-512]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVX-512 Context triple: [Tiger Lake, supports, AVX-512]
-
A.
AVX-512
chosen
AVX-512 is an advanced SIMD instruction set for x86 processors that enables high-throughput parallel processing using 512-bit wide vector operations.
-
B.
Intel AVX2
Intel AVX2 is an x86 instruction set extension from Intel that enhances performance for integer-heavy and vectorized workloads through wider SIMD operations and new vector instructions.
-
C.
Intel AVX
Intel AVX is an x86 processor instruction set extension from Intel that accelerates floating-point and vector-intensive workloads, commonly used in high-performance computing, multimedia, and scientific applications.
-
D.
V (vector extension)
V (vector extension) is the RISC-V standard for scalable vector processing, enabling efficient parallel computation on variable-length data vectors.
-
E.
AMD-V
AMD-V is AMD’s hardware-assisted virtualization technology that enables efficient and secure running of virtual machines on compatible processors.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb339b1081909f648864e210f98e |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eedbbc3c81909a02c4fb63e428c0 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 2:59 p.m.