Triple
T637696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sauvignon Blanc |
E16660
|
entity |
| Predicate | usedInAppellation |
P13305
|
FINISHED |
| Object | Sauternes |
E52047
|
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: Sauternes | Statement: [Sauvignon Blanc, usedInAppellation, Sauternes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sauternes Context triple: [Sauvignon Blanc, usedInAppellation, Sauternes]
-
A.
Sauternes
chosen
Sauternes is a renowned sweet white wine appellation in southwestern France, famous for its botrytized wines made primarily from Sémillon and Sauvignon Blanc grapes.
-
B.
Sancerre
Sancerre is a renowned French wine appellation in the Loire Valley, best known for its crisp, mineral-driven white wines.
-
C.
Médoc
Médoc is a renowned wine-producing area in southwestern France, famous for its high-quality red Bordeaux wines made predominantly from Cabernet Sauvignon.
-
D.
Pomerol
Pomerol is a prestigious wine-producing appellation in Bordeaux, France, renowned for its rich, Merlot-dominant red wines.
-
E.
Côtes de Bourg
Côtes de Bourg is a French wine appellation on the right bank of the Gironde estuary known for producing robust, Merlot-dominant red wines within the Bordeaux 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a515ceb081908c064b2082047c0f |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a58035296481908c177e782137b194 |
completed | March 2, 2026, 12:19 p.m. |
Created at: March 1, 2026, 7:35 p.m.