Triple
T33078320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paks Nuclear Power Plant |
E846430
|
entity |
| Predicate | PaksIINumberOfPlannedUnits |
P111841
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Paks Nuclear Power Plant, PaksIINumberOfPlannedUnits, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PaksIINumberOfPlannedUnits Context triple: [Paks Nuclear Power Plant, PaksIINumberOfPlannedUnits, 2]
-
A.
plannedNumberOfReactors
chosen
Indicates the total number of reactors that are intended or scheduled to be built, installed, or operated for a given facility or project.
-
B.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
-
C.
plannedCapacityMW
Indicates the intended or scheduled power generation capacity of an energy asset, measured in megawatts (MW).
-
D.
plannedPowerplant
Indicates that a power plant is intended or scheduled to be built or developed, but is not yet constructed or operational.
-
E.
generatingUnitCount
Indicates the number of generating units associated with or involved in a given entity or context.
- 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_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:25 a.m.