Triple
T20456843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fontaines-lès-Dijon |
E501811
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Fontenois
Fontenois are the inhabitants or natives of the commune of Fontaines-lès-Dijon in eastern France.
|
E1433727
|
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: Fontenois | Statement: [Fontaines-lès-Dijon, hasDemonym, Fontenois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fontenois Context triple: [Fontaines-lès-Dijon, hasDemonym, Fontenois]
-
A.
Farciennes
Farciennes is an industrial town in the Walloon region of Belgium, historically associated with coal mining and heavy industry.
-
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.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
D.
Saumurois
Saumurois is a wine-producing and historically rich region in western France, known for its vineyards, châteaux, and scenic landscapes along the Loire River.
-
E.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
- 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: Fontenois Triple: [Fontaines-lès-Dijon, hasDemonym, Fontenois]
Generated description
Fontenois are the inhabitants or natives of the commune of Fontaines-lès-Dijon in eastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fontenois Target entity description: Fontenois are the inhabitants or natives of the commune of Fontaines-lès-Dijon in eastern France.
-
A.
Farciennes
Farciennes is an industrial town in the Walloon region of Belgium, historically associated with coal mining and heavy industry.
-
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.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
D.
Saumurois
Saumurois is a wine-producing and historically rich region in western France, known for its vineyards, châteaux, and scenic landscapes along the Loire River.
-
E.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893a79f74819081dd147a1a6371da |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08945284f48190a62a2ef25553d985 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0894f3be54819091e3305ee70c25f5 |
completed | May 16, 2026, 4:01 p.m. |
Created at: April 16, 2026, 11:32 a.m.