Triple
T23915236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Wines and Wine of Kings |
E602064
|
entity |
| Predicate | linkedGrapeVariety |
P154351
|
FINISHED |
| Object | Nebbiolo |
—
|
NE NERFINISHED |
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: Nebbiolo | Statement: [King of Wines and Wine of Kings, linkedGrapeVariety, Nebbiolo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedGrapeVariety Context triple: [King of Wines and Wine of Kings, linkedGrapeVariety, Nebbiolo]
-
A.
alsoUsesGrapeVariety
Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
-
B.
grapeVarietyType
Indicates the specific type or classification of a grape variety used or referred to in a given context.
-
C.
grapeVarietyScientificName
Indicates the scientific (Latin) name assigned to a specific grape variety.
-
D.
wineVariety
Indicates the specific type or variety of wine associated with an entity.
-
E.
traditionalGrapeVariety
Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9917808190ad66a4e276a24b3d |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:40 p.m.