Triple
T16779087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andechser Weissbier Hell |
E407808
|
entity |
| Predicate | yeastCharacter |
P115865
|
FINISHED |
| Object | fruity esters |
—
|
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: fruity esters | Statement: [Andechser Weissbier Hell, yeastCharacter, fruity esters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yeastCharacter Context triple: [Andechser Weissbier Hell, yeastCharacter, fruity esters]
-
A.
yeastType
Indicates the specific kind or category of yeast associated with or used in relation to an entity.
-
B.
yeastPresence
Indicates that yeast is present or detected in relation to the specified entity or context.
-
C.
fermentationAgent
Indicates that one entity serves as the agent or catalyst that carries out the fermentation process on another entity.
-
D.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
E.
hatCharakter
chosen
Indicates that an entity possesses or exhibits a particular character, trait, or quality.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21401b881909bbbc7382e851a90 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.