Triple
T31952207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra-class submarine |
E815808
|
entity |
| Predicate | typeOfReactor |
P3675
|
FINISHED |
| Object | pressurized water reactor |
—
|
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: pressurized water reactor | Statement: [Sierra-class submarine, typeOfReactor, pressurized water reactor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfReactor Context triple: [Sierra-class submarine, typeOfReactor, pressurized water reactor]
-
A.
reactorType
chosen
Indicates the specific kind or category of reactor associated with an entity.
-
B.
propulsionReactorType
Indicates the type or kind of reactor used as the primary source of propulsion.
-
C.
hasNuclearReactorType
Indicates that an entity possesses or is equipped with a specific type or classification of nuclear reactor.
-
D.
thermalNeutronReactor
Indicates that the subject is a nuclear reactor that operates using thermal (low-energy) neutrons to sustain its fission chain reaction.
-
E.
numberOfReactors
Indicates the quantity of reactors associated with or contained by a given 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00233e2170819084bee0c8f74cc1a4 |
completed | May 10, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_6a0022943fd08190b73007f080d5971d |
completed | May 10, 2026, 6:15 a.m. |
Created at: May 1, 2026, 12:07 a.m.