Triple
T20766524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugni Blanc |
E511111
|
entity |
| Predicate | roleInArmagnac |
P57084
|
FINISHED |
| Object | principalGrapeVariety |
—
|
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: principalGrapeVariety | Statement: [Ugni Blanc, roleInArmagnac, principalGrapeVariety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInArmagnac Context triple: [Ugni Blanc, roleInArmagnac, principalGrapeVariety]
-
A.
wineBlendRole
chosen
Indicates the specific role or function that a wine plays within a blend (e.g., primary component, supporting component, or minor addition).
-
B.
oenologist
Indicates that one entity is an expert in the science and practice of wine and winemaking in relation to another entity.
-
C.
wineAppellation
Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
-
D.
wineAVA
Indicates that a wine is produced within a specific American Viticultural Area (AVA) designation.
-
E.
wineLaw
Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24ceab8819094e331c57abe6879 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:36 p.m.