Triple
T33240823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsugaru lacquerware |
E850956
|
entity |
| Predicate | numberOfLacquerLayers |
—
|
GENERATED |
| Object | dozens of layers |
—
|
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: numberOfLacquerLayers Context triple: [Tsugaru lacquerware, numberOfLacquerLayers, dozens of layers]
-
A.
typicalLayerCount
chosen
Indicates the usual or standard number of layers associated with an entity.
-
B.
hasNumberOfEnamelPanels
Indicates the relationship that specifies how many enamel panels are present on or associated with a given object or entity.
-
C.
hasNumberOfPaintedPanels
Indicates the relationship specifying how many panels in an object or structure are painted.
-
D.
coatingType
Indicates the type or kind of coating applied to or associated with an entity.
-
E.
layerOf
Indicates that one entity forms a distinct layer or stratum of another entity within a structured or composite whole.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:31 a.m.