Triple
T889594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul |
E19209
|
entity |
| Predicate | winterClimate |
P10789
|
FINISHED |
| Object | cold and dry |
—
|
LITERAL FINISHED |
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: winterClimate Context triple: [Seoul, winterClimate, cold and dry]
-
A.
winterCharacteristic
chosen
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
B.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
C.
winterCapital
Indicates that a location serves as the official capital of a region, country, or organization specifically during the winter season.
-
D.
summerWinterCycle
Indicates a recurring transition between summer and winter seasons, capturing the cyclical change in conditions or states across these two periods.
-
E.
winterAscentFirstDate
Indicates the calendar date on which the first successful winter ascent of something (such as a route, peak, or wall) took place.
- F. None of above.
Provenance (2 batches)
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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9227ec8190a726456fc77c3ebb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.