Triple
T19466906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienne, Isère, France |
E487022
|
entity |
| Predicate | hasNearbyVineyards |
P25137
|
FINISHED |
| Object | Condrieu |
—
|
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: Condrieu | Statement: [Vienne, Isère, France, hasNearbyVineyards, Condrieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Condrieu Context triple: [Vienne, Isère, France, hasNearbyVineyards, Condrieu]
-
A.
Condrieu
chosen
Condrieu is a renowned French appellation in the northern Rhône Valley, famous for its aromatic Viognier white wines.
-
B.
Vinsobres AOC
Vinsobres AOC is a French wine appellation in the southern Rhône known primarily for its robust, Grenache-based red wines.
-
C.
Tavel AOC
Tavel AOC is a renowned French wine appellation in the Southern Rhône best known for its dry, full-bodied rosé wines.
-
D.
Gigondas AOC
Gigondas AOC is a renowned French wine appellation in the Southern Rhône known for its robust, Grenache-based red wines.
-
E.
Côte-Rôtie
Côte-Rôtie is a prestigious Northern Rhône wine appellation in France, renowned for its steep terraced vineyards and complex, age-worthy Syrah-based red wines often co-fermented with Viognier.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e2aee081908330a5665fa60482 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.