Triple
T11782402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan AVA system |
E280181
|
entity |
| Predicate | grapeVarietiesSupported |
P11949
|
FINISHED |
| Object | vinifera 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: vinifera grapes | Statement: [Michigan AVA system, grapeVarietiesSupported, vinifera grapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeVarietiesSupported Context triple: [Michigan AVA system, grapeVarietiesSupported, vinifera grapes]
-
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.
wineVariety
Indicates the specific type or variety of wine associated with an entity.
-
C.
usesGrapeType
chosen
Indicates that one entity employs or incorporates a specific type or variety of grape in its composition, production, or process.
-
D.
hasRegulatedGrapes
Indicates that certain grapes are subject to specific rules, standards, or controls imposed by an authority or regulation.
-
E.
grapeColorProduced
Indicates the color that is produced by or characteristic of a given grape.
- 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_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.