Triple
T31032246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unit 4 reactor building |
E790757
|
entity |
| Predicate | numberOfFuelAssembliesRemoved |
P88230
|
FINISHED |
| Object | 1533 |
—
|
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: 1533 | Statement: [Unit 4 reactor building, numberOfFuelAssembliesRemoved, 1533]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFuelAssembliesRemoved Context triple: [Unit 4 reactor building, numberOfFuelAssembliesRemoved, 1533]
-
A.
numberOfFuelAssemblies
chosen
Indicates the total count of fuel assemblies associated with or contained in a given system, component, or facility.
-
B.
numberOfFuelAssembliesInSpentFuelPoolAtAccident
Indicates the quantity of fuel assemblies that were present in the spent fuel pool at the time of the accident.
-
C.
nuclearReactorRemoved
Indicates that a nuclear reactor has been taken out of service and physically removed from its previous location or installation.
-
D.
fuelAssemblyType
Indicates the specific design or classification of a fuel assembly associated with an entity.
-
E.
plannedNumberOfReactors
Indicates the total number of reactors that are intended or scheduled to be built, installed, or operated for a given facility or project.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00bc079314819096271bba60bee52d |
completed | May 10, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_6a00bba5bd408190ace5db0c4a90dc6f |
completed | May 10, 2026, 5:08 p.m. |
Created at: April 29, 2026, 8:59 p.m.