Triple
T3638229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penrose process for energy extraction |
E77121
|
entity |
| Predicate | maximumEfficiency |
P49749
|
FINISHED |
| Object | about 20 percent for idealized single-particle process |
—
|
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: about 20 percent for idealized single-particle process | Statement: [Penrose process for energy extraction, maximumEfficiency, about 20 percent for idealized single-particle process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumEfficiency Context triple: [Penrose process for energy extraction, maximumEfficiency, about 20 percent for idealized single-particle process]
-
A.
hasMaximumEfficiencyAt
Indicates that an entity reaches or exhibits its highest possible efficiency under a specified condition, context, or parameter value.
-
B.
marginEfficiency
Indicates how effectively the margin between revenue and costs is generated or utilized in a given context.
-
C.
energyEfficiencyFeature
Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
-
D.
maximumPowerDuringOperation
Indicates the highest level of power that occurs while the system or component is operating.
-
E.
optimize
Indicates improving a process, system, or outcome to achieve the best possible performance or efficiency under given constraints.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc32a5d448190b24f379b8b2d4f9b |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb842be7c8190b7dfdb7c906f294c |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:24 p.m.