Triple
T27746371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nvidia Tegra 2 |
E701993
|
entity |
| Predicate | powerEfficiencyOptimizedFor |
P15693
|
FINISHED |
| Object | battery-powered devices |
—
|
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: battery-powered devices | Statement: [Nvidia Tegra 2, powerEfficiencyOptimizedFor, battery-powered devices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerEfficiencyOptimizedFor Context triple: [Nvidia Tegra 2, powerEfficiencyOptimizedFor, battery-powered devices]
-
A.
powerOptimizationFor
chosen
Indicates a relationship where one entity is used to improve, manage, or optimize the power consumption or power efficiency of another entity.
-
B.
powerOptimized
Indicates that an entity operates or is configured in a way that minimizes energy consumption or maximizes power efficiency.
-
C.
maximumEfficiency
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
-
D.
energyEfficiencyFeature
Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
-
E.
powerConsumptionWatts
Indicates the amount of electrical power an entity uses, measured in watts, during its operation.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 4:16 p.m.