Triple
T15019508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jura bernois |
E378045
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Grandval
Grandval is a small municipality in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
|
E1132888
|
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: Grandval | Statement: [Jura bernois, contains, Grandval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grandval Context triple: [Jura bernois, contains, Grandval]
-
A.
Valpelline
Valpelline is a secluded alpine valley in Italy’s Aosta Valley region, known for its unspoiled mountain landscapes and traditional pastoral culture.
-
B.
Cogne
Cogne is a renowned alpine village in Italy’s Aosta Valley, known for its access to the Gran Paradiso National Park and its hiking, climbing, and cross-country skiing opportunities.
-
C.
Gressoney
Gressoney is a mountain community in the Italian Alps known as a key center of Walser culture, language, and traditions.
-
D.
Montbéliarde
Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
-
E.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
- 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: Grandval Triple: [Jura bernois, contains, Grandval]
Generated description
Grandval is a small municipality in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grandval Target entity description: Grandval is a small municipality in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
A.
Valpelline
Valpelline is a secluded alpine valley in Italy’s Aosta Valley region, known for its unspoiled mountain landscapes and traditional pastoral culture.
-
B.
Cogne
Cogne is a renowned alpine village in Italy’s Aosta Valley, known for its access to the Gran Paradiso National Park and its hiking, climbing, and cross-country skiing opportunities.
-
C.
Gressoney
Gressoney is a mountain community in the Italian Alps known as a key center of Walser culture, language, and traditions.
-
D.
Montbéliarde
Montbéliarde is a French dairy cattle breed from the Franche-Comté region, valued for its high-quality milk used in traditional cheeses.
-
E.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd078e481908ec78db57541fc4c |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f3afcc08190bd9eac0b2619bf0a |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9fa89bd481909235d2ec377a0d8e |
completed | May 9, 2026, 2:44 a.m. |
Created at: April 10, 2026, 2:56 a.m.