Triple
T5020669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banyuls AOC |
E112840
|
entity |
| Predicate | BanyulsGrandCruMinimumAlcohol |
P61574
|
FINISHED |
| Object | at least 15 percent ABV |
—
|
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: at least 15 percent ABV | Statement: [Banyuls AOC, BanyulsGrandCruMinimumAlcohol, at least 15 percent ABV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BanyulsGrandCruMinimumAlcohol Context triple: [Banyuls AOC, BanyulsGrandCruMinimumAlcohol, at least 15 percent ABV]
-
A.
hasGrandCru
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
-
B.
sparklingWineAllowed
Indicates that the use, serving, or presence of sparkling wine is permitted in the given context or under specified conditions.
-
C.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
D.
BeaujolaisNouveauRelease
Indicates the event or action of releasing Beaujolais Nouveau wine to the market or public.
-
E.
appellationType
Indicates the specific kind or category of name or designation applied to an entity.
- F. None of above. chosen
Provenance (4 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736399ac8190aa38efc4b4edc6a2 |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:36 p.m.