Triple
T32959775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Gas-cooled Reactor |
E843202
|
entity |
| Predicate | typicalThermalEfficiency |
P201271
|
FINISHED |
| Object | around 41 percent |
—
|
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: around 41 percent | Statement: [Advanced Gas-cooled Reactor, typicalThermalEfficiency, around 41 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalThermalEfficiency Context triple: [Advanced Gas-cooled Reactor, typicalThermalEfficiency, around 41 percent]
-
A.
thermalEfficiency
Indicates how effectively an energy conversion process transforms input energy into useful output work or heat, typically expressed as a ratio or percentage.
-
B.
hasTypicalEfficiency
chosen
Indicates that an entity exhibits the standard or commonly expected level of efficiency for its type or context.
-
C.
typicalThermalPowerRange
Indicates the usual range of thermal power values that an entity typically operates within or exhibits.
-
D.
energyEfficiencyFeature
Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
-
E.
energyEfficiencyList
Indicates that an entity is included in a list or classification based on its level of energy 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:21 a.m.