Triple
T2263507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Émilion |
E50090
|
entity |
| Predicate | hasWineRegionNeighbor |
P17964
|
FINISHED |
| Object | Fronsac |
E51137
|
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: Fronsac | Statement: [Saint-Émilion, hasWineRegionNeighbor, Fronsac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fronsac Context triple: [Saint-Émilion, hasWineRegionNeighbor, Fronsac]
-
A.
Fronsac
chosen
Fronsac is a French wine appellation on the right bank of the Dordogne River, known for its Merlot-based red wines and proximity to Bordeaux.
-
B.
Figeac
Figeac is a historic town in southwestern France known for its medieval architecture and as the birthplace of Jean-François Champollion, who deciphered Egyptian hieroglyphs.
-
C.
Ribérac
Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
-
D.
Côtes de Bourg
Côtes de Bourg is a French wine appellation on the right bank of the Gironde estuary known for producing robust, Merlot-dominant red wines within the Bordeaux region.
-
E.
Uzès
Uzès is a historic town in southern France’s Occitanie region, known for its well-preserved medieval architecture and proximity to the Pont du Gard.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc5b262488190b6455d1d28d2306d |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cfd3b08190988474aa0fa985fe |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.