Triple
T33677891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barracuda-class submarine |
E862809
|
entity |
| Predicate | numberOfUnitsInClass |
—
|
GENERATED |
| Object | 6 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUnitsInClass Context triple: [Barracuda-class submarine, numberOfUnitsInClass, 6]
-
A.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
B.
numberOfUnits
chosen
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
C.
hasNumberOfClassrooms
Indicates the relationship that specifies how many classrooms are associated with a given entity.
-
D.
classNumber
Indicates the numerical identifier assigned to a particular class within an educational or organizational system.
-
E.
typicalClassSize
Indicates the usual or average number of students (or participants) that are present in a single class or course section.
- F. None of above.
Provenance (1 batch)
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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.