Triple
T23394998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crozes-Hermitage AOC |
E559331
|
entity |
| Predicate | notableGrapeVarietyForReds |
P28269
|
FINISHED |
| Object | Syrah |
—
|
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 | Statement: [Crozes-Hermitage AOC, notableGrapeVarietyForReds, Syrah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGrapeVarietyForReds Context triple: [Crozes-Hermitage AOC, notableGrapeVarietyForReds, Syrah]
-
A.
grapeColorForReds
Indicates that the predicate specifies the typical color of grapes used to produce red wines.
-
B.
grapeVarietyType
Indicates the specific type or classification of a grape variety used or referred to in a given context.
-
C.
wineVariety
Indicates the specific type or variety of wine associated with an entity.
-
D.
traditionalGrapeVariety
chosen
Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
-
E.
primaryGrapeVariety
Indicates that one entity is the main or predominant grape variety used in producing the other entity (typically a wine or wine-based product).
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4db1c888190ace5d58bcc8645c1 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:36 p.m.