Triple
T31803966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deglet Nour |
E811817
|
entity |
| Predicate | hasRelativeDryness |
—
|
GENERATED |
| Object | drier than Medjool |
—
|
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: hasRelativeDryness Context triple: [Deglet Nour, hasRelativeDryness, drier than Medjool]
-
A.
canDryOut
Indicates that one entity has the ability or tendency to cause another entity to lose moisture and become dry.
-
B.
hasHumidity
Indicates that one entity possesses, exhibits, or is characterized by a certain level or measure of humidity.
-
C.
wetnessLevel
chosen
Indicates the degree or intensity of how wet something is in relation to a reference state or scale.
-
D.
hasDrySeasonCause
Indicates that one factor or condition is the underlying cause of a location or region experiencing a dry season.
-
E.
dryingProperty
Indicates a relationship where an entity has the capacity or tendency to remove moisture from another entity or environment.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 11:42 p.m.