Triple
T27761629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bocksbeutel |
E701484
|
entity |
| Predicate | usedForVariety |
P98
|
FINISHED |
| Object | Silvaner wines |
—
|
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: Silvaner wines | Statement: [Bocksbeutel, usedForVariety, Silvaner wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForVariety Context triple: [Bocksbeutel, usedForVariety, Silvaner wines]
-
A.
varietyOf
Indicates that one entity is a specific type, kind, or variant of another, more general entity.
-
B.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
C.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
D.
referenceVarietyFor
Indicates that one entity is used as the standard or benchmark variety against which another entity is referenced or compared.
-
E.
growsVariety
Indicates that one entity cultivates or produces a specific variety or type of another entity.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 4:27 p.m.