Triple
T19467149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermitage AOC |
E487028
|
entity |
| Predicate | grapeVarietyDominanceInReds |
P975
|
FINISHED |
| Object | Syrah-dominant |
—
|
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: Syrah-dominant | Statement: [Hermitage AOC, grapeVarietyDominanceInReds, Syrah-dominant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeVarietyDominanceInReds Context triple: [Hermitage AOC, grapeVarietyDominanceInReds, Syrah-dominant]
-
A.
grapeColorForReds
Indicates that the predicate specifies the typical color of grapes used to produce red wines.
-
B.
grapeColorDistribution
Indicates how colors are proportionally or categorically distributed among a set of grapes.
-
C.
primaryGrapeVariety
chosen
Indicates that one entity is the main or predominant grape variety used in producing the other entity (typically a wine or wine-based product).
-
D.
traditionalGrapeVariety
Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
-
E.
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.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.