Triple
T14826309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilltops wine region |
E348582
|
entity |
| Predicate | grapeVariety |
P975
|
FINISHED |
| Object | Nebbiolo |
E311945
|
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: Nebbiolo | Statement: [Hilltops wine region, grapeVariety, Nebbiolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebbiolo Context triple: [Hilltops wine region, grapeVariety, Nebbiolo]
-
A.
Nebbiolo
chosen
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.
-
B.
Sangiovese
Sangiovese is a prominent Italian red wine grape variety best known as the primary component of wines like Chianti and Brunello di Montalcino.
-
C.
Montepulciano
Montepulciano is a historic hilltop town in Tuscany, Italy, renowned for its Renaissance architecture and Vino Nobile wine.
-
D.
Dolcetto
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.
-
E.
Barolo
Barolo is a prestigious Italian red wine made from Nebbiolo grapes, renowned for its powerful structure, complex aromas, and long aging potential.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64fab7bc8190af55cc6ec5eafb65 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:51 a.m.