Triple
T10628910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bouzeron |
E250397
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Chassey-le-Camp |
E793690
|
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: Chassey-le-Camp | Statement: [Bouzeron, hasVillage, Chassey-le-Camp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chassey-le-Camp Context triple: [Bouzeron, hasVillage, Chassey-le-Camp]
-
A.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
-
B.
Bruyères-le-Châtel
Bruyères-le-Châtel is a commune in the Essonne department of the Île-de-France region in northern France.
-
C.
Commune of Chassey-le-Camp
chosen
The Commune of Chassey-le-Camp is a small municipality in eastern France’s Burgundy wine region, known for its vineyards and production of appellation wines such as Bouzeron AOC.
-
D.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
-
E.
Potigny
Potigny is a commune in the Calvados department of the Normandy region in northwestern France.
- 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.