Triple
T31507195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Chênes de Bouscaut (red) |
E803849
|
entity |
| Predicate | drinkingWindow |
P109724
|
FINISHED |
| Object | youthful to mid-term cellaring |
—
|
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: youthful to mid-term cellaring | Statement: [Les Chênes de Bouscaut (red), drinkingWindow, youthful to mid-term cellaring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drinkingWindow Context triple: [Les Chênes de Bouscaut (red), drinkingWindow, youthful to mid-term cellaring]
-
A.
drinkWindow
chosen
Indicates the time period during which a beverage (typically wine) is considered to be at its best for drinking.
-
B.
drinkingPermitted
Indicates that consuming alcoholic beverages is allowed in a given context, location, or situation.
-
C.
drinkingWindowStyle
Indicates the typical period or style of time frame during which something (such as a beverage) is considered best suited to be consumed.
-
D.
drinksLegalAge
Indicates that an entity has reached the minimum legal age required to consume alcoholic beverages.
-
E.
alcoholRange
Indicates the range or interval of alcohol content associated with an entity (e.g., minimum and maximum alcohol level).
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:48 p.m.