Triple
T33078308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paks Nuclear Power Plant |
E846430
|
entity |
| Predicate | shareOfNationalElectricityGeneration |
P136569
|
FINISHED |
| Object | around 50 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 50 percent | Statement: [Paks Nuclear Power Plant, shareOfNationalElectricityGeneration, around 50 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareOfNationalElectricityGeneration Context triple: [Paks Nuclear Power Plant, shareOfNationalElectricityGeneration, around 50 percent]
-
A.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
B.
netGeneration_TWh
Indicates the total amount of electricity produced and supplied to the grid, measured in terawatt-hours, after accounting for a plant’s own consumption and losses.
-
C.
providesElectricityShare
chosen
Indicates that one entity supplies a specified portion or share of electricity to another entity.
-
D.
powerGenerationRegion
Indicates the region or area where electrical power is produced or generated.
-
E.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
- 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff965f9be48190b015b788207be676 |
completed | May 9, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69ff95d3015c8190b9d293fe31b859c3 |
completed | May 9, 2026, 8:15 p.m. |
Created at: May 1, 2026, 1:25 a.m.