Triple
T19467177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France’s Rhône Valley wine area |
E487029
|
entity |
| Predicate | hasAppellation |
P29604
|
FINISHED |
| Object | Cornas |
—
|
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: Cornas | Statement: [France’s Rhône Valley wine area, hasAppellation, Cornas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornas Context triple: [France’s Rhône Valley wine area, hasAppellation, Cornas]
-
A.
Cornas
chosen
Cornas is a prestigious Northern Rhône wine appellation in France renowned for producing powerful, age-worthy red wines exclusively from Syrah grapes.
-
B.
Borallon
Borallon is a small rural locality in Queensland, Australia, known for its agricultural surroundings and proximity to the city of Ipswich.
-
C.
Quibell
Quibell is an English surname most notably associated with Egyptologist James Edward Quibell.
-
D.
Darphin
Darphin is a French luxury skincare brand renowned for its botanically based, spa-inspired treatments and high-performance serums.
-
E.
Blaquiere
Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
- 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.