Triple
T34918792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VVER-440 |
E1007077
|
entity |
| Predicate | typicalNumberOfFuelAssemblies |
—
|
GENERATED |
| Object | 349 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNumberOfFuelAssemblies Context triple: [VVER-440, typicalNumberOfFuelAssemblies, 349]
-
A.
numberOfFuelAssemblies
chosen
Indicates the total count of fuel assemblies associated with or contained in a given system, component, or facility.
-
B.
fuelAssemblyType
Indicates the specific design or classification of a fuel assembly associated with an entity.
-
C.
plannedNumberOfReactors
Indicates the total number of reactors that are intended or scheduled to be built, installed, or operated for a given facility or project.
-
D.
numberOfFuelAssembliesInSpentFuelPoolAtAccident
Indicates the quantity of fuel assemblies that were present in the spent fuel pool at the time of the accident.
-
E.
numberOfReactors
Indicates the quantity of reactors associated with or contained by a given entity.
- F. None of above.
Provenance (1 batch)
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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.