Triple
T23204785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scandiano |
E580419
|
entity |
| Predicate | hasTraditionalProduct |
P3585
|
FINISHED |
| Object | Lambrusco wine |
—
|
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: Lambrusco wine | Statement: [Scandiano, hasTraditionalProduct, Lambrusco wine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lambrusco wine Context triple: [Scandiano, hasTraditionalProduct, Lambrusco wine]
-
A.
Lambrusco wine
chosen
Lambrusco wine is a lightly sparkling Italian red wine, typically fruity and refreshing, traditionally produced in the Emilia-Romagna region.
-
B.
Sciacchetrà wine
Sciacchetrà wine is a rare, sweet Italian passito wine made from sun-dried grapes on the steep coastal terraces of the Cinque Terre in Liguria.
-
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.
Chianti
Chianti is a renowned Italian red wine region in Tuscany, famous for its Sangiovese-based wines and picturesque rolling vineyards.
-
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 (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.