Triple
T4797755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilsner Urquell Brewery |
E106753
|
entity |
| Predicate | beerStyleOriginated |
P22545
|
FINISHED |
| Object | pale lager |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: pale lager | Statement: [Pilsner Urquell Brewery, beerStyleOriginated, pale lager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beerStyleOriginated Context triple: [Pilsner Urquell Brewery, beerStyleOriginated, pale lager]
-
A.
beerStyleOrigin
chosen
Indicates the place or region where a particular beer style was originally developed or first became established.
-
B.
beerStyle
Indicates that one entity is the style or type classification of a beer associated with another entity.
-
C.
breweryType
Indicates the specific category or classification of a brewery based on its operational or business characteristics.
-
D.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
E.
nationalWineTradition
Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
- F. None of above.
Provenance (3 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.