Triple
T34321221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aizu cotton |
E880738
|
entity |
| Predicate | associatedWithDye |
—
|
GENERATED |
| Object | indigo dye |
—
|
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: associatedWithDye Context triple: [Aizu cotton, associatedWithDye, indigo dye]
-
A.
usesDyes
Indicates that one entity employs or applies dyes in relation to another entity or process.
-
B.
dyeColor
Indicates that one entity has a specific color resulting from a dye applied to it.
-
C.
canBeDyed
Indicates that an entity has the property of being able to undergo a dyeing process to change or add color.
-
D.
commonlyUsesDyeType
chosen
Indicates that an entity typically or habitually employs a particular type of dye in its usual processes or activities.
-
E.
dyeComponent
Indicates that one entity is a constituent or ingredient used to produce or formulate a dye in relation to another entity.
- 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:57 a.m.