Triple
T14753845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pressurised water reactor |
E346679
|
entity |
| Predicate | dominantReactorType |
P3675
|
FINISHED |
| Object | Worldwide commercial nuclear fleet |
—
|
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: Worldwide commercial nuclear fleet | Statement: [Pressurised water reactor, dominantReactorType, Worldwide commercial nuclear fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantReactorType Context triple: [Pressurised water reactor, dominantReactorType, Worldwide commercial nuclear fleet]
-
A.
reactorType
chosen
Indicates the specific kind or category of reactor associated with an entity.
-
B.
dominantExcitationSource
Indicates that one entity serves as the primary or most influential source of excitation affecting another entity or system.
-
C.
powerplantType
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
-
D.
dominantLifeformType
Indicates which type of lifeform holds primary dominance or control within a given context or environment.
-
E.
dominantComposition
Indicates that one entity is the primary or prevailing component, material, or element that makes up or characterizes another 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.