Triple
T22621028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnezeaux AOC |
E558277
|
entity |
| Predicate | grapeRipenessRequirement |
P88645
|
FINISHED |
| Object | very ripe or overripe grapes |
—
|
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: very ripe or overripe grapes | Statement: [Bonnezeaux AOC, grapeRipenessRequirement, very ripe or overripe grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeRipenessRequirement Context triple: [Bonnezeaux AOC, grapeRipenessRequirement, very ripe or overripe grapes]
-
A.
grapeCondition
chosen
Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
-
B.
grapeVarietyAllowed
Indicates that a specific grape variety is permitted or authorized for use in a given context, such as a wine, region, or product specification.
-
C.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
-
D.
dominantGrapePercentageRequirement
Indicates the minimum percentage of a single grape variety that must be present in a wine for it to be considered dominant or to meet a specific labeling or classification rule.
-
E.
grapeProduct
Indicates that one entity is a product derived from or made using grapes.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e39959481909e0ae67379435f95 |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3 p.m.