Triple
T19045483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vacqueyras |
E466118
|
entity |
| Predicate | minimumAlcoholForReds |
P102323
|
FINISHED |
| Object | 12.5% 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: 12.5% ABV | Statement: [Vacqueyras, minimumAlcoholForReds, 12.5% ABV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumAlcoholForReds Context triple: [Vacqueyras, minimumAlcoholForReds, 12.5% ABV]
-
A.
minimumAlcoholRed
chosen
Indicates that there is a specified minimum alcohol content requirement associated with red wine or red alcoholic beverages.
-
B.
typicalAlcoholRangeRed
Indicates that the subject red wine typically falls within a specified range of alcohol content.
-
C.
minimumAlcoholWhite
Indicates the minimum required alcohol content specified for white wine.
-
D.
redWineRequired
Indicates that red wine is needed or mandated in the given context or situation.
-
E.
minimumAlcohol
Indicates that there is a specified minimum amount or concentration of alcohol required or present in the described context.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d803b2b08190b057d4b5bc555d4f |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.