Triple
T37155462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dounreay |
E920484
|
entity |
| Predicate | DounreayFastReactorCriticality |
P187213
|
FINISHED |
| Object | 1959 |
—
|
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: 1959 | Statement: [Dounreay, DounreayFastReactorCriticality, 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DounreayFastReactorCriticality Context triple: [Dounreay, DounreayFastReactorCriticality, 1959]
-
A.
thermalNeutronReactor
Indicates that the subject is a nuclear reactor that operates using thermal (low-energy) neutrons to sustain its fission chain reaction.
-
B.
criticalityAccident
Indicates an event in which a nuclear chain reaction becomes unintentionally self-sustaining or supercritical, leading to a hazardous release of radiation or energy.
-
C.
fuelInReactorCoreAtTimeOfAccident
Indicates that a specified amount or type of fuel was present in the reactor core at the time the accident occurred.
-
D.
plutoniumFacility
Indicates a facility that is involved in the production, processing, handling, or storage of plutonium.
-
E.
numberOfFuelAssembliesInSpentFuelPoolAtAccident
Indicates the quantity of fuel assemblies that were present in the spent fuel pool at the time of the accident.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.