Triple
T24545283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avanti R1 |
E607205
|
entity |
| Predicate | performanceTuning |
P72988
|
FINISHED |
| Object | tuned for improved power |
—
|
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: tuned for improved power | Statement: [Avanti R1, performanceTuning, tuned for improved power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceTuning Context triple: [Avanti R1, performanceTuning, tuned for improved power]
-
A.
performanceTuningBy
Indicates that an entity’s performance has been adjusted, optimized, or fine-tuned by another entity.
-
B.
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.
-
C.
performanceUse
Indicates that something is used, employed, or utilized in the course of performing an action, task, or function.
-
D.
performanceFeature
chosen
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to its performance or operational effectiveness.
-
E.
optimize
Indicates improving a process, system, or outcome to achieve the best possible performance or efficiency under given constraints.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.