Triple
T35343228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viré-Clessé AOC |
E1020664
|
entity |
| Predicate | forbidsGrape |
P183042
|
FINISHED |
| Object | red grape varieties |
—
|
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: red grape varieties | Statement: [Viré-Clessé AOC, forbidsGrape, red grape varieties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forbidsGrape Context triple: [Viré-Clessé AOC, forbidsGrape, red grape varieties]
-
A.
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.
-
B.
grapeCondition
Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
-
C.
usesGrapeType
Indicates that one entity employs or incorporates a specific type or variety of grape in its composition, production, or process.
-
D.
grapeConditionRequired
Indicates that a specific condition or quality of grapes is required for a related process, use, or outcome.
-
E.
grapeMinimum
Indicates the minimum quantity, size, or threshold value associated with grapes in a given context.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.