Triple
T20162235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhône AOC system |
E491737
|
entity |
| Predicate | includesRegion |
P285
|
FINISHED |
| Object | Condrieu AOC |
—
|
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 AOC | Statement: [Rhône AOC system, includesRegion, Condrieu AOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Condrieu AOC Context triple: [Rhône AOC system, includesRegion, Condrieu AOC]
-
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.
Côtes de Montravel AOC
Côtes de Montravel AOC is a French appellation in southwest France known for producing mainly sweet and semi-sweet white wines from Bordeaux grape varieties.
-
D.
Côtes de Provence AOC
Côtes de Provence AOC is a renowned French wine appellation in Provence, best known for its dry, pale rosé wines produced from Mediterranean grape varieties.
-
E.
Tavel AOC
Tavel AOC is a renowned French wine appellation in the Southern Rhône best known for its dry, full-bodied rosé 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.