Triple
T4661676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States nuclear energy program |
E102546
|
entity |
| Predicate | researchesReactorType |
P3675
|
FINISHED |
| Object | small modular 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: small modular reactor | Statement: [United States nuclear energy program, researchesReactorType, small modular reactor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchesReactorType Context triple: [United States nuclear energy program, researchesReactorType, small modular reactor]
-
A.
reactorType
chosen
Indicates the specific kind or category of reactor associated with an entity.
-
B.
numberOfReactors
Indicates the quantity of reactors associated with or contained by a given entity.
-
C.
reactor
Indicates a relationship where an entity functions as or is associated with a nuclear or chemical reactor system.
-
D.
hasReactorUnit
Indicates that one entity possesses, contains, or is equipped with a specific reactor unit as a component or subsystem.
-
E.
researchSupportType
Indicates the specific kind of support provided for research activities, such as funding, resources, or services.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632b7fb88190821f213620719d6b |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.