Triple
T38413966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dresden dialect |
E901553
|
entity |
| Predicate | typicalOfCity |
—
|
GENERATED |
| Object | Dresden |
—
|
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: typicalOfCity Context triple: [Dresden dialect, typicalOfCity, Dresden]
-
A.
typicalCityExample
Indicates that the subject is a representative or characteristic example of a city, illustrating typical features or qualities associated with cities.
-
B.
usualCity
chosen
Indicates that a city is the standard, typical, or commonly associated city for a given entity (such as a person, organization, or activity).
-
C.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
D.
concentratedInCity
Indicates that a large proportion or primary presence of something is located within a particular city.
-
E.
typicalVenueCity
Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.