Triple
T32350443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J-45 |
E826578
|
entity |
| Predicate | typicalNutWidth |
—
|
GENERATED |
| Object | 1.725 inches |
—
|
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: typicalNutWidth Context triple: [J-45, typicalNutWidth, 1.725 inches]
-
A.
nutWidthInches
chosen
Indicates the width of a nut measured in inches.
-
B.
typicalWidth
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
-
C.
bedWidth
Indicates the measurement of how wide a bed is from one side to the other.
-
D.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
E.
usesNutType
Indicates that one entity employs or incorporates a specific type of nut in its structure, function, or composition.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:49 a.m.