Triple
T16600810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss French |
E403323
|
entity |
| Predicate | hasRegionalVariation |
P455
|
FINISHED |
| Object |
Valaisan French
Valaisan French is a regional variety of French spoken in the canton of Valais in southwestern Switzerland, characterized by distinctive phonetic and lexical features influenced by local dialects.
|
E1222327
|
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: Valaisan French | Statement: [Swiss French, hasRegionalVariation, Valaisan French]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valaisan French Context triple: [Swiss French, hasRegionalVariation, Valaisan French]
-
A.
Louis (French)
Louis is the French given name corresponding to the name Ludwik in other languages.
-
B.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
C.
Franzese
Franzese is an Italian surname borne by various notable individuals in fields such as entertainment and organized crime.
-
D.
Valentinois
Valentinois are the inhabitants or natives of Valence, a city in the Drôme department of southeastern France.
-
E.
Raverdinois
Raverdinois are the inhabitants or natives of the commune of Varreddes in 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: Valaisan French Triple: [Swiss French, hasRegionalVariation, Valaisan French]
Generated description
Valaisan French is a regional variety of French spoken in the canton of Valais in southwestern Switzerland, characterized by distinctive phonetic and lexical features influenced by local dialects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valaisan French Target entity description: Valaisan French is a regional variety of French spoken in the canton of Valais in southwestern Switzerland, characterized by distinctive phonetic and lexical features influenced by local dialects.
-
A.
Louis (French)
Louis is the French given name corresponding to the name Ludwik in other languages.
-
B.
Thielle (French)
Thielle is the French name for the Zihl, a river and canal system in western Switzerland connecting Lakes Neuchâtel and Biel.
-
C.
Franzese
Franzese is an Italian surname borne by various notable individuals in fields such as entertainment and organized crime.
-
D.
Valentinois
Valentinois are the inhabitants or natives of Valence, a city in the Drôme department of southeastern France.
-
E.
Raverdinois
Raverdinois are the inhabitants or natives of the commune of Varreddes in 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d764574819081366374ca0c9bea |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a48c088190b6585e42dcd73705 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0076468d588190972639d0a22f0e3e |
completed | May 10, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007734abd481909c9c698f2aef7632 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:17 a.m.