Triple
T21188355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauges-sur-Loire |
E522143
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Mauges
Mauges is a historical region in western France, known for its rural landscapes, traditional agriculture, and distinct cultural identity within the Maine-et-Loire department.
|
E1470811
|
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: Mauges | Statement: [Mauges-sur-Loire, namedAfter, Mauges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauges Context triple: [Mauges-sur-Loire, namedAfter, Mauges]
-
A.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
B.
Méautis
Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
-
C.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
-
D.
Monchyssoise
Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
-
E.
Mouthe
Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
- 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: Mauges Triple: [Mauges-sur-Loire, namedAfter, Mauges]
Generated description
Mauges is a historical region in western France, known for its rural landscapes, traditional agriculture, and distinct cultural identity within the Maine-et-Loire department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mauges Target entity description: Mauges is a historical region in western France, known for its rural landscapes, traditional agriculture, and distinct cultural identity within the Maine-et-Loire department.
-
A.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
B.
Méautis
Méautis is a small commune in the Manche department of Normandy in northwestern France, known for its rural landscape and World War II history.
-
C.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
-
D.
Monchyssoise
Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
-
E.
Mouthe
Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333403448190bcd9cc0805e414b5 |
completed | April 21, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097581c3c08190abbdb9ec0b915a9f |
completed | May 17, 2026, 8 a.m. |
| NEDg | Description generation | batch_6a097652819481908da15da1fd77160f |
completed | May 17, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09772e67708190856224f80cf22106 |
completed | May 17, 2026, 8:07 a.m. |
Created at: April 16, 2026, 3:07 p.m.