Triple
T10628909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouzeron |
E250397
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Bouzeron village |
E250397
|
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: Bouzeron village | Statement: [Bouzeron, hasVillage, Bouzeron village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bouzeron village Context triple: [Bouzeron, hasVillage, Bouzeron village]
-
A.
Bouzeron
chosen
Bouzeron is a small appellation in Burgundy, France, particularly noted for producing distinctive white wines from the Aligoté grape.
-
B.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
C.
Souvigny
Souvigny is a historic town in central France known for its important Cluniac priory and medieval religious heritage.
-
D.
Montsoreau
Montsoreau is a picturesque village in western France, renowned for its riverside château on the Loire River and its status as one of "Les Plus Beaux Villages de France."
-
E.
Buzet
Buzet is a small historic town in northern Istria, Croatia, renowned for its truffle-rich surrounding forests and medieval hilltop setting.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df92f8388190a8bcff96809d8eb4 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96babc290819096c0c914d038ba01 |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 8:59 p.m.