Triple
T19867164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaporizhzhia Nuclear Power Plant |
E477419
|
entity |
| Predicate | thermalCapacityPerReactor |
P95775
|
FINISHED |
| Object | 3000 MWth |
—
|
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: 3000 MWth | Statement: [Zaporizhzhia Nuclear Power Plant, thermalCapacityPerReactor, 3000 MWth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermalCapacityPerReactor Context triple: [Zaporizhzhia Nuclear Power Plant, thermalCapacityPerReactor, 3000 MWth]
-
A.
thermalCapacityPerReactor_MWth
chosen
Indicates the amount of thermal power capacity, measured in megawatts thermal (MWth), associated with each individual reactor.
-
B.
electricalCapacityPerReactor_MWe
Indicates the electrical power output capacity, measured in megawatts electric (MWe), that is provided by each individual reactor.
-
C.
thermalPower
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
-
D.
thermalNeutronReactor
Indicates that the subject is a nuclear reactor that operates using thermal (low-energy) neutrons to sustain its fission chain reaction.
-
E.
numberOfReactors
Indicates the quantity of reactors associated with or contained by a given entity.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a0a7288190a82b85e3ae056d6b |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.