Triple
T7086825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel AVX2 |
E165095
|
entity |
| Predicate | improvesPerformanceFor |
P20527
|
FINISHED |
| Object | integer-heavy workloads |
—
|
LITERAL 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: integer-heavy workloads | Statement: [Intel AVX2, improvesPerformanceFor, integer-heavy workloads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: improvesPerformanceFor Context triple: [Intel AVX2, improvesPerformanceFor, integer-heavy workloads]
-
A.
performanceTuningBy
Indicates that an entity’s performance has been adjusted, optimized, or fine-tuned by another entity.
-
B.
improvesOn
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
-
C.
performance
Indicates that one entity’s effectiveness, quality, or success in carrying out a task, function, or role is being evaluated or characterized in relation to some standard or expectation.
-
D.
performanceFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to its performance or operational effectiveness.
-
E.
impactOnPerformance
chosen
Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
- F. None of above.
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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e513d9b08190a8a8d213c2264ce4 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.