Triple
T18241029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loire wine region |
E436809
|
entity |
| Predicate | grapeVariety |
P975
|
FINISHED |
| Object | Folle Blanche |
—
|
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: Folle Blanche | Statement: [Loire wine region, grapeVariety, Folle Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Folle Blanche Context triple: [Loire wine region, grapeVariety, Folle Blanche]
-
A.
Folle Blanche
chosen
Folle Blanche is a traditional French white grape variety historically prized in Armagnac and Cognac production for its high acidity and delicate, floral spirits.
-
B.
La Blancarde
La Blancarde is a neighborhood and transport hub in Marseille, France, known for its railway and metro station connecting the city’s eastern districts.
-
C.
Désir
Désir is a French surname borne by various notable individuals, including politicians and public figures.
-
D.
Les Violets
Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
-
E.
Les Fleurs
Les Fleurs is a section of Charles Baudelaire’s poetry collection "Les Fleurs du mal," known for its evocative and symbolist exploration of beauty, decadence, and modern urban life.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e287548190b666a990e5b168b0 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.