Triple
T10215408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massif des Bauges |
E242427
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object |
Aillon-le-Jeune
Aillon-le-Jeune is a small French Alpine village in the Savoie department, known for its mountain setting and access to outdoor activities like hiking and skiing.
|
E850046
|
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: Aillon-le-Jeune | Statement: [Massif des Bauges, containsVillage, Aillon-le-Jeune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aillon-le-Jeune Context triple: [Massif des Bauges, containsVillage, Aillon-le-Jeune]
-
A.
Allonnes
Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
-
B.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
Eygalières
Eygalières is a picturesque Provençal village in southern France, known for its stone houses, historic charm, and scenic setting amid the Alpilles hills.
-
E.
Ollainville
Ollainville is a commune in the Essonne department in the Île-de-France region of northern France.
- 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: Aillon-le-Jeune Triple: [Massif des Bauges, containsVillage, Aillon-le-Jeune]
Generated description
Aillon-le-Jeune is a small French Alpine village in the Savoie department, known for its mountain setting and access to outdoor activities like hiking and skiing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aillon-le-Jeune Target entity description: Aillon-le-Jeune is a small French Alpine village in the Savoie department, known for its mountain setting and access to outdoor activities like hiking and skiing.
-
A.
Allonnes
Allonnes is a commune in western France, known as a residential suburb of Le Mans with a mix of industrial areas and green spaces.
-
B.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
C.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
D.
Eygalières
Eygalières is a picturesque Provençal village in southern France, known for its stone houses, historic charm, and scenic setting amid the Alpilles hills.
-
E.
Ollainville
Ollainville is a commune in the Essonne department in the Île-de-France region of northern France.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa2894d0819095704449ecc2db6c |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652f1ffb88190986ea53749fc5e03 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d656d55ff481909b84c033aa0f0fc2 |
completed | April 8, 2026, 1:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d658a657488190ab08071889af4fb6 |
completed | April 8, 2026, 1:31 p.m. |
Created at: April 6, 2026, 11:04 a.m.