Triple
T8328357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Villars |
E195011
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Devillars
Devillars is a French surname, a variant spelling of “de Villars,” historically associated with families and places bearing the Villars name in France.
|
E733694
|
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: Devillars | Statement: [de Villars, hasVariant, Devillars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devillars Context triple: [de Villars, hasVariant, Devillars]
-
A.
Dallenwil
Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
-
B.
Porrentruy
Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
-
C.
Villecroze
Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
-
D.
Valdigne
Valdigne is an alpine valley in Italy’s Aosta Valley region, known as the upper Dora Baltea basin and including renowned mountain resorts such as Courmayeur.
-
E.
Libercourt
Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
- 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: Devillars Triple: [de Villars, hasVariant, Devillars]
Generated description
Devillars is a French surname, a variant spelling of “de Villars,” historically associated with families and places bearing the Villars name in France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Devillars Target entity description: Devillars is a French surname, a variant spelling of “de Villars,” historically associated with families and places bearing the Villars name in France.
-
A.
Dallenwil
Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
-
B.
Porrentruy
Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
-
C.
Villecroze
Villecroze is a small commune in southeastern France’s Var department, known for its medieval village center and nearby troglodyte caves.
-
D.
Valdigne
Valdigne is an alpine valley in Italy’s Aosta Valley region, known as the upper Dora Baltea basin and including renowned mountain resorts such as Courmayeur.
-
E.
Libercourt
Libercourt is a commune in the Pas-de-Calais department in northern France, historically known as a coal-mining town.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f8243288190b1ae74d69395fc91 |
completed | March 31, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1cf20900819084ab766192f36239 |
completed | April 2, 2026, 7:38 a.m. |
| NEDg | Description generation | batch_69ce1ea3aaf881909562b65cefb20089 |
completed | April 2, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f8d748c81909b331ed822919447 |
completed | April 2, 2026, 7:49 a.m. |
Created at: March 30, 2026, 5:56 p.m.