Triple
T8714437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oktoberfestbier |
E206859
|
entity |
| Predicate | beerFermentationType |
P14597
|
FINISHED |
| Object | bottom-fermented |
—
|
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: bottom-fermented | Statement: [Oktoberfestbier, beerFermentationType, bottom-fermented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beerFermentationType Context triple: [Oktoberfestbier, beerFermentationType, bottom-fermented]
-
A.
fermentationMethod
chosen
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
B.
brewingMethod
Indicates the technique or process used to brew or prepare a beverage, typically coffee or tea.
-
C.
beerStyle
Indicates that one entity is the style or type classification of a beer associated with another entity.
-
D.
mustBeFermentedBy
Indicates that one entity is required to undergo a fermentation process carried out by another specified entity.
-
E.
breweryType
Indicates the specific category or classification of a brewery based on its operational or business characteristics.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd6707c819092c9fca34f273d5e |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.