Triple
T18573282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béarn AOC |
E453923
|
entity |
| Predicate | grapeVarietyUsed |
P975
|
FINISHED |
| Object | Lauzet |
—
|
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: Lauzet | Statement: [Béarn AOC, grapeVarietyUsed, Lauzet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauzet Context triple: [Béarn AOC, grapeVarietyUsed, Lauzet]
-
A.
Lauzet
chosen
Lauzet is a rare, traditional white grape variety from southwest France, historically used in the production of aromatic Jurançon wines.
-
B.
Moueix
Moueix is a prominent French wine family best known for owning and managing prestigious Bordeaux estates, including Château Pétrus.
-
C.
Poiccart
Poiccart is one of the vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
-
D.
Chandon
Chandon is a global sparkling wine producer known for its méthode traditionnelle wines made in regions such as California, Argentina, Brazil, Australia, China, and India.
-
E.
Maison Tavel
Maison Tavel is a historic medieval house in Geneva that now serves as a museum showcasing the city's urban history and heritage.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c7f63c81909b5d5764ffd20234 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:43 a.m.