Triple
T9446814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukushima Daiichi Unit 2 |
E227784
|
entity |
| Predicate | numberOfFuelAssemblies |
P88230
|
FINISHED |
| Object | 548 |
—
|
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: 548 | Statement: [Fukushima Daiichi Unit 2, numberOfFuelAssemblies, 548]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFuelAssemblies Context triple: [Fukushima Daiichi Unit 2, numberOfFuelAssemblies, 548]
-
A.
numberOfReactors
Indicates the quantity of reactors associated with or contained by a given entity.
-
B.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
-
C.
fuelCladding
Indicates a relationship where a material or component serves as the cladding (protective outer layer) for nuclear fuel.
-
D.
numberOfIsotopesProduced
Indicates the quantity of distinct isotopes that are generated or obtained from a specified process, reaction, or source.
-
E.
nrcReactorUnitNumber
Indicates the specific unit number assigned to a nuclear reactor within an NRC-licensed facility.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f35394c8190aa77528dabd6139c |
completed | April 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:51 p.m.