Triple
T25550478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVX-512 |
E640424
|
entity |
| Predicate | optimizationConcern |
P158864
|
FINISHED |
| Object | higher power consumption |
—
|
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: higher power consumption | Statement: [AVX-512, optimizationConcern, higher power consumption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: optimizationConcern Context triple: [AVX-512, optimizationConcern, higher power consumption]
-
A.
optimize
Indicates improving a process, system, or outcome to achieve the best possible performance or efficiency under given constraints.
-
B.
optimizationQuestion
Indicates that one entity poses a query to another about how to improve efficiency, performance, or resource usage in a given context.
-
C.
concernsProvision
Indicates a relationship where something is about, deals with, or relates to the supplying or making available of resources, services, or necessities.
-
D.
concernsFeature
Indicates that something is about, relates to, or involves a particular feature.
-
E.
strategicConcernFor
Indicates a relationship where one entity considers another entity’s situation, actions, or outcomes important for its own long-term goals, risks, or strategic interests.
- F. None of above. chosen
Provenance (4 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8c583e48190a2a1f65d80a2b589 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 3:36 p.m.