Triple
T16174021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrasses du Larzac |
E392514
|
entity |
| Predicate | minimumAlcohol |
P121997
|
FINISHED |
| Object | around 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: around 12.5% ABV | Statement: [Terrasses du Larzac, minimumAlcohol, around 12.5% ABV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumAlcohol Context triple: [Terrasses du Larzac, minimumAlcohol, around 12.5% ABV]
-
A.
minimumAlcoholRegulated
Indicates that there is a legally or formally established minimum alcohol-related threshold (such as age, content, or quantity) that is subject to regulation.
-
B.
minimumAlcoholRed
Indicates that there is a specified minimum alcohol content requirement associated with red wine or red alcoholic beverages.
-
C.
higherMinimumAlcoholThan
Indicates that the minimum required or actual alcohol content of one entity is greater than that of another entity.
-
D.
minimumAlcoholWhite
Indicates the minimum required alcohol content specified for white wine.
-
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. 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb9b8208190b60874cec7a3a98e |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.