Triple
T7857501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nvidia Tegra 3 |
E182413
|
entity |
| Predicate | powerManagementFeature |
P15693
|
FINISHED |
| Object | dynamic voltage and frequency scaling |
—
|
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: dynamic voltage and frequency scaling | Statement: [Nvidia Tegra 3, powerManagementFeature, dynamic voltage and frequency scaling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerManagementFeature Context triple: [Nvidia Tegra 3, powerManagementFeature, dynamic voltage and frequency scaling]
-
A.
powerOption
Indicates that one entity provides or specifies a particular power-related configuration or choice available to another entity.
-
B.
powerStatus
Indicates whether an entity is currently powered on, off, or in another defined power state.
-
C.
powerChange
Indicates a change in the level, amount, or state of power associated with an entity over time.
-
D.
powerOptimizationFor
chosen
Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
-
E.
powerOptimized
Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a76f8648190976b488d0d8658ef |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:52 p.m.