Triple
T2142191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaujolais |
E46782
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
|
E285323
|
NE FINISHED |
How this triple was built (4 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: Chiroubles | Statement: [Beaujolais, hasSubregion, Chiroubles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiroubles Context triple: [Beaujolais, hasSubregion, Chiroubles]
-
A.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
B.
Ambert
Ambert is a small commune in central France known for its traditional paper mills and as a center of production for Fourme d'Ambert blue cheese.
-
C.
Cavaillon
Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
-
D.
Charolles
Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
-
E.
Chalon-sur-Saône
Chalon-sur-Saône is a historic city in eastern France’s Burgundy region, known as a former important river port and for its rich architectural and cultural heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chiroubles Triple: [Beaujolais, hasSubregion, Chiroubles]
Generated description
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chiroubles Target entity description: Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
-
A.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
B.
Ambert
Ambert is a small commune in central France known for its traditional paper mills and as a center of production for Fourme d'Ambert blue cheese.
-
C.
Cavaillon
Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
-
D.
Charolles
Charolles is a small historic town in eastern France, known as the traditional capital of the Charolais cattle-breeding region.
-
E.
Chalon-sur-Saône
Chalon-sur-Saône is a historic city in eastern France’s Burgundy region, known as a former important river port and for its rich architectural and cultural heritage.
- F. None of above. chosen
Provenance (5 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe0543108190862dd9a4a861c758 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af989e2cf48190b9c5d053491e3a96 |
completed | March 10, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_69af9952a95881908d01aa13f5feef43 |
completed | March 10, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99e68f10819094d758d3a4bc2e9c |
completed | March 10, 2026, 4:11 a.m. |
Created at: March 4, 2026, 7:44 p.m.