Triple
T3724637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux wine region |
E81719
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | Entre-Deux-Mers |
E48353
|
NE FINISHED |
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: Entre-Deux-Mers | Statement: [Bordeaux wine region, hasSubregion, Entre-Deux-Mers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entre-Deux-Mers Context triple: [Bordeaux wine region, hasSubregion, Entre-Deux-Mers]
-
A.
Entre-Deux-Mers
chosen
Entre-Deux-Mers is a wine-producing subregion of Bordeaux in southwestern France, known primarily for its dry white wines.
-
B.
Ver-sur-Mer
Ver-sur-Mer is a coastal village in Normandy, France, known for its location on Gold Beach, one of the key Allied landing sectors during the D-Day invasion of World War II.
-
C.
La Trinité-sur-Mer
La Trinité-sur-Mer is a coastal town in Brittany, France, renowned for its marina and sailing activities.
-
D.
La Côte
La Côte is a wine-producing region along the northern shore of Lake Geneva in the canton of Vaud, Switzerland, known for its picturesque vineyards and small towns.
-
E.
Camargue
Camargue is a vast wetland region in southern France known for its salt marshes, wild white horses, black bulls, and rich birdlife including flamingos.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf54af881908bd8d520595de061 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce1e303881909efc1c6735d6c12e |
completed | March 14, 2026, 2:55 a.m. |
Created at: March 8, 2026, 3:34 p.m.