Triple
T19385768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akademik Lomonosov |
E484929
|
entity |
| Predicate | heatOutput_MWth |
P18503
|
FINISHED |
| Object | up to 50 |
—
|
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: up to 50 | Statement: [Akademik Lomonosov, heatOutput_MWth, up to 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heatOutput_MWth Context triple: [Akademik Lomonosov, heatOutput_MWth, up to 50]
-
A.
thermalPower
chosen
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
-
B.
thermalCapacityPerReactor_MWth
Indicates the amount of thermal power capacity, measured in megawatts thermal (MWth), associated with each individual reactor.
-
C.
electricalCapacityPerReactor_MWe
Indicates the electrical power output capacity, measured in megawatts electric (MWe), that is provided by each individual reactor.
-
D.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
E.
electricPowerOutput
Indicates the amount of electrical power produced or delivered by an 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b40d1148190b4fcd9ad56aa6910 |
completed | April 20, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.