Triple
T12972702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combe de Savoie |
E321441
|
entity |
| Predicate | grapeVariety |
P975
|
FINISHED |
| Object | Jacquère |
E946350
|
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: Jacquère | Statement: [Combe de Savoie, grapeVariety, Jacquère]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacquère Context triple: [Combe de Savoie, grapeVariety, Jacquère]
-
A.
Jacquère
chosen
Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
-
B.
Béraud
Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
-
C.
Courcier
Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
-
D.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
E.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f4bedc81909b8dfa79a842e12d |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:36 p.m.