Triple
T30074416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franconian wine region |
E764277
|
entity |
| Predicate | traditionalBottleProtection |
P64696
|
FINISHED |
| Object | protected designation for Bocksbeutel in the EU |
—
|
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: protected designation for Bocksbeutel in the EU | Statement: [Franconian wine region, traditionalBottleProtection, protected designation for Bocksbeutel in the EU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalBottleProtection Context triple: [Franconian wine region, traditionalBottleProtection, protected designation for Bocksbeutel in the EU]
-
A.
bottlingMaterial
Indicates the material from which a container or bottle used for holding a product is made.
-
B.
bottledAs
Indicates that a substance or product has been placed into a bottle in a particular form, configuration, or under a specific label or brand.
-
C.
bottlingType
Indicates the specific method or style in which a liquid product is bottled or packaged.
-
D.
bottleFeature
chosen
Indicates that a bottle possesses or is characterized by a particular feature or attribute.
-
E.
bottlingProof
Indicates the specific alcohol proof at which a beverage is bottled.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 29, 2026, 7:01 p.m.