Triple
T2142192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaujolais |
E46782
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Fleurie
Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
|
E236657
|
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: Fleurie | Statement: [Beaujolais, hasSubregion, Fleurie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleurie Context triple: [Beaujolais, hasSubregion, Fleurie]
-
A.
Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
B.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
C.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
D.
Éclat
Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
-
E.
Daydé & Pillé
Daydé & Pillé was a prominent French engineering firm known for designing major steel bridges and infrastructure projects in the late 19th and early 20th centuries.
- 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: Fleurie Triple: [Beaujolais, hasSubregion, Fleurie]
Generated description
Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fleurie Target entity description: Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
-
A.
Clémentine
Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
B.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
C.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
D.
Éclat
Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
-
E.
Daydé & Pillé
Daydé & Pillé was a prominent French engineering firm known for designing major steel bridges and infrastructure projects in the late 19th and early 20th centuries.
- 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_69ae51b63e4081908a5d87af5d17d3c4 |
completed | March 9, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_69ae52d29d708190809ee4d5047b2755 |
completed | March 9, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae532ec8808190b1ecd8c4f66df30d |
completed | March 9, 2026, 4:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.