Triple
T14978957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaplan turbine |
E373525
|
entity |
| Predicate | efficiencyCharacteristic |
P89574
|
FINISHED |
| Object | high efficiency over wide load range |
—
|
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: high efficiency over wide load range | Statement: [Kaplan turbine, efficiencyCharacteristic, high efficiency over wide load range]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: efficiencyCharacteristic Context triple: [Kaplan turbine, efficiencyCharacteristic, high efficiency over wide load range]
-
A.
energyEfficiencyFeature
Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
-
B.
maximumEfficiency
Indicates that an entity operates at its highest possible level of performance or productivity under given conditions.
-
C.
operationalCharacteristic
chosen
Indicates a relationship where a specific functional or performance trait is attributed to, or used to describe, how an entity operates.
-
D.
thermalEfficiency
Indicates how effectively an energy conversion process transforms input energy into useful output work or heat, typically expressed as a ratio or percentage.
-
E.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fcebf481909f72cab577560d82 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:51 a.m.