Triple
T38621532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uesugi Snow Lantern Festival |
E936879
|
entity |
| Predicate | numberOfSnowLanterns |
—
|
GENERATED |
| Object | hundreds |
—
|
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: numberOfSnowLanterns Context triple: [Uesugi Snow Lantern Festival, numberOfSnowLanterns, hundreds]
-
A.
numberOfLights
Indicates the quantity of lights associated with or present on a given entity.
-
B.
typeOfLantern
Indicates that one entity is a specific kind or category of lantern relative to another.
-
C.
numberOfChandeliers
Indicates the quantity of chandeliers associated with a given entity or context.
-
D.
lanternColor
Indicates that one entity specifies or describes the color attribute of a lantern associated with another entity.
-
E.
lanternDesign
Indicates a relationship where one entity is responsible for the design, style, or pattern of a lantern associated with another entity.
- F. None of above. chosen
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_69f76ed403208190b862dc795171353f |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.