Triple
T33078306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paks Nuclear Power Plant |
E846430
|
entity |
| Predicate | largestPowerStationInCountry |
P175778
|
FINISHED |
| Object | Hungary |
—
|
NE NERFINISHED |
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: Hungary | Statement: [Paks Nuclear Power Plant, largestPowerStationInCountry, Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestPowerStationInCountry Context triple: [Paks Nuclear Power Plant, largestPowerStationInCountry, Hungary]
-
A.
oneOfLargestPowerStationsIn
Indicates that a power station is among the largest power stations located within a specified area or region.
-
B.
hydropowerPlantCountry
Indicates that a hydropower plant is located in, or belongs to, a specific country.
-
C.
expectedToBeLargestHydroelectricSourceIn
Indicates that something is anticipated to become the primary or largest source of hydroelectric power within a specified region or location.
-
D.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
E.
rankAmongWorldHydroelectricPlantsByCapacity
Indicates the position of a hydroelectric plant in a global ranking ordered by its electricity generation capacity.
- F. None of above. chosen
Provenance (4 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_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:25 a.m.