Triple
T21422292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Lapalisse |
E528464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Le Mayet-de-Montagne
Le Mayet-de-Montagne is a commune in central France’s Allier department, situated in the hilly Montagne Bourbonnaise area.
|
E1488208
|
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: Le Mayet-de-Montagne | Statement: [canton of Lapalisse, contains, Le Mayet-de-Montagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Mayet-de-Montagne Context triple: [canton of Lapalisse, contains, Le Mayet-de-Montagne]
-
A.
Châtel-Montagne
Châtel-Montagne is a small rural commune in central France’s Allier department, known for its picturesque setting in the Bourbonnais countryside and its notable Romanesque church.
-
B.
Montegnée
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
-
C.
Montbéliarde
Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
-
D.
Montcel
Montcel is a small rural commune in southeastern France, situated within the scenic Massif des Bauges mountain range.
-
E.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
- 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: Le Mayet-de-Montagne Triple: [canton of Lapalisse, contains, Le Mayet-de-Montagne]
Generated description
Le Mayet-de-Montagne is a commune in central France’s Allier department, situated in the hilly Montagne Bourbonnaise area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Mayet-de-Montagne Target entity description: Le Mayet-de-Montagne is a commune in central France’s Allier department, situated in the hilly Montagne Bourbonnaise area.
-
A.
Châtel-Montagne
Châtel-Montagne is a small rural commune in central France’s Allier department, known for its picturesque setting in the Bourbonnais countryside and its notable Romanesque church.
-
B.
Montegnée
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
-
C.
Montbéliarde
Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
-
D.
Montcel
Montcel is a small rural commune in southeastern France, situated within the scenic Massif des Bauges mountain range.
-
E.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2d17f5081908f0185011eae3160 |
completed | April 22, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e127cc248190a70371825d1cc30b |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e2b25c548190a0814199aa9b56eb |
completed | May 17, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e312f2dc81908e2efdd03f653316 |
completed | May 17, 2026, 3:47 p.m. |
Created at: April 16, 2026, 5:48 p.m.