Triple
T33078307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paks Nuclear Power Plant |
E846430
|
entity |
| Predicate | onlyCommercialNuclearPowerPlantIn |
P175779
|
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, onlyCommercialNuclearPowerPlantIn, Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onlyCommercialNuclearPowerPlantIn Context triple: [Paks Nuclear Power Plant, onlyCommercialNuclearPowerPlantIn, Hungary]
-
A.
nuclearPowerStationUnit
Indicates a relationship where an individual unit (such as a reactor or generating block) is part of or belongs to a specific nuclear power station.
-
B.
nuclearReactorLocation
Indicates the place where a nuclear reactor is situated or operates.
-
C.
oneOfEarliestNuclearPlantsIn
Indicates that a nuclear plant is among the first (earliest built or commissioned) nuclear plants within a specified location or region.
-
D.
hasNuclearPowerPlantNearby
Indicates that an entity is located close to at least one nuclear power plant.
-
E.
isNuclearSite
Indicates that a location or facility is used for nuclear-related activities, such as power generation, research, weapons development, or radioactive material storage.
- 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.