Triple
T35794188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsutsuji Matsuri |
E1034780
|
entity |
| Predicate | typicalFlowers |
—
|
GENERATED |
| Object | azalea bushes |
—
|
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: typicalFlowers Context triple: [Tsutsuji Matsuri, typicalFlowers, azalea bushes]
-
A.
flowerType
chosen
Indicates the specific kind or category of flower associated with an entity.
-
B.
nationalFlower
Indicates that a particular flower is officially designated as the national flower of a country or region.
-
C.
hasRegionalFlower
Indicates that a region is associated with a specific flower designated as its symbolic or representative flower.
-
D.
flowerSpecies
Indicates that one entity is a flower and the other specifies its biological species classification.
-
E.
flowerUse
Indicates how a flower is used or purposed in a particular context (e.g., decorative, medicinal, culinary, or symbolic use).
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.