Triple
T12787874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monts du Lyonnais |
E305677
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Lyonnais plain |
E567748
|
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: Lyonnais plain | Statement: [Monts du Lyonnais, hasViewOf, Lyonnais plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyonnais plain Context triple: [Monts du Lyonnais, hasViewOf, Lyonnais plain]
-
A.
Montpellier plain
The Montpellier plain is a low-lying area surrounding the city of Montpellier in southern France, characterized by its agricultural landscapes and Mediterranean climate.
-
B.
Alsace plain
The Alsace plain is a broad, fertile lowland region in northeastern France, lying between the Vosges Mountains and the Rhine River and known for its agriculture, vineyards, and picturesque villages.
-
C.
Béziers plain
The Béziers plain is a fertile lowland region in southern France known for its vineyards, agriculture, and proximity to the Mediterranean coast.
-
D.
Plaine de France
Plaine de France is a fertile agricultural plain and historical region in northern Île-de-France, just north of Paris.
-
E.
Rhône plain
chosen
The Rhône plain is a broad, fertile lowland region in southeastern France shaped by the Rhône River, known for its agriculture, vineyards, and historic settlements.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5dbdb88190a1b06721ada51627 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b925b3c81909f5e604c0f457645 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:29 p.m.