Triple
T11784700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champagne AOC |
E280240
|
entity |
| Predicate | minimumAgingOnLees |
P97613
|
FINISHED |
| Object | 15 months for non-vintage wines |
—
|
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: 15 months for non-vintage wines | Statement: [Champagne AOC, minimumAgingOnLees, 15 months for non-vintage wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumAgingOnLees Context triple: [Champagne AOC, minimumAgingOnLees, 15 months for non-vintage wines]
-
A.
minimumAgingTotal
Indicates that the relationship captures the smallest possible total amount of aging (or elapsed time) accumulated across the relevant entities or process.
-
B.
endAgeMa
Indicates the age (in years) at which a marriage or marital relationship ends.
-
C.
minimumAgingNonVintage
chosen
Indicates the minimum required aging period that a non-vintage product must undergo before it can be released or considered compliant with a standard.
-
D.
maximumAgeMa
Indicates that there is a specified maximum age limit applicable to an entity or relationship.
-
E.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a585795c8190aa8a5edf0d99b47f |
completed | April 10, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.