Triple
T4535338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajoie |
E107394
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Beurnevésin
Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
|
E450743
|
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: Beurnevésin | Statement: [Ajoie, contains, Beurnevésin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beurnevésin Context triple: [Ajoie, contains, Beurnevésin]
-
A.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
-
E.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
- 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: Beurnevésin Triple: [Ajoie, contains, Beurnevésin]
Generated description
Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beurnevésin Target entity description: Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
-
A.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
B.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
-
E.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b634b08190845d04213cf8d5b9 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacf016d0819080665256c84d37a3 |
completed | March 20, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69bdad81ace48190956f8f62610e188d |
completed | March 20, 2026, 8:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdadb912148190bf4390c31396f189 |
completed | March 20, 2026, 8:27 p.m. |
Created at: March 20, 2026, 1:04 p.m.