Triple
T7129689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monferrato |
E166153
|
entity |
| Predicate | producesWineType |
P2082
|
FINISHED |
| Object | Dolcetto |
E156601
|
NE 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: Dolcetto | Statement: [Monferrato, producesWineType, Dolcetto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolcetto Context triple: [Monferrato, producesWineType, Dolcetto]
-
A.
Dolcetto
chosen
Dolcetto is a dark-skinned Italian wine grape variety from Piedmont known for producing soft, fruity, early-drinking red wines with low acidity and gentle tannins.
-
B.
Barbaresco
Barbaresco is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its elegance, aromatic complexity, and long aging potential.
-
C.
Bardolino
Bardolino is a picturesque Italian town in the Veneto region, renowned for its lakeside setting on Lake Garda and its namesake red wine.
-
D.
Nebbiolo
Nebbiolo is a high-quality red wine grape variety from Italy’s Piedmont region, best known for producing powerful, long-lived wines such as Barolo and Barbaresco.
-
E.
Negrar di Valpolicella
Negrar di Valpolicella is a municipality in Italy’s Veneto region, renowned for its vineyards and production of Valpolicella wines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7759a048190815689298befa8d7 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a33bf244819096db1351ebf62413 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.