Triple
T37850541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leinenkugel’s Session Helles |
E944040
|
entity |
| Predicate | originBreweryState |
—
|
GENERATED |
| Object | Wisconsin |
—
|
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: originBreweryState Context triple: [Leinenkugel’s Session Helles, originBreweryState, Wisconsin]
-
A.
breweryFoundedIn
Indicates that a brewery was established or began operating in a specific year or time period.
-
B.
beerBrandOrigin
Indicates the place or country where a particular beer brand was originally created or first produced.
-
C.
bottledBy
Indicates that one entity is responsible for placing another entity into bottles or containers for packaging or distribution.
-
D.
knownBrewer
Indicates that one entity is recognized as the brewer (producer of beer or similar beverages) associated with another entity.
-
E.
breweryLocation
chosen
Indicates the place where a brewery is situated or operates.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.