Triple
T38231314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaufort cheese |
E1012296
|
entity |
| Predicate | typicalFatInDryMatter |
—
|
GENERATED |
| Object | about 48% |
—
|
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: typicalFatInDryMatter Context triple: [Beaufort cheese, typicalFatInDryMatter, about 48%]
-
A.
typicalFatContent
chosen
Indicates the usual or characteristic amount of fat contained in something, such as a food or product.
-
B.
typicalFatUsed
Indicates that a particular type of fat is commonly or characteristically used in a given context or application.
-
C.
fatDistribution
Indicates how body fat is spatially allocated or spread across different regions of an entity.
-
D.
fattyAcid
Indicates a relationship where one entity is a fatty acid component, derivative, or participant in a process involving another entity.
-
E.
dryMass
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.