Triple
T5422902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picard language |
E121293
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Amiénois
Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
|
E522389
|
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: Amiénois | Statement: [Picard language, hasDialect, Amiénois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amiénois Context triple: [Picard language, hasDialect, Amiénois]
-
A.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
B.
Saintois
A Saintois is a resident or native of the coastal commune of Saintes-Maries-de-la-Mer in southern France.
-
C.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
D.
Soissonnais
Soissonnais is a historical region in northern France centered around the city of Soissons, known for its early medieval significance and role in the Frankish kingdom.
-
E.
Valmondois
Valmondois is a small commune in the Val-d'Oise department in northern France, known for its picturesque setting along the River Oise and its association with the artist Honoré Daumier.
- 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: Amiénois Triple: [Picard language, hasDialect, Amiénois]
Generated description
Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amiénois Target entity description: Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
-
A.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
B.
Saintois
A Saintois is a resident or native of the coastal commune of Saintes-Maries-de-la-Mer in southern France.
-
C.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
D.
Soissonnais
Soissonnais is a historical region in northern France centered around the city of Soissons, known for its early medieval significance and role in the Frankish kingdom.
-
E.
Valmondois
Valmondois is a small commune in the Val-d'Oise department in northern France, known for its picturesque setting along the River Oise and its association with the artist Honoré Daumier.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8812f84c819094d8516f69fff83d |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf487db2bc81908822d3adadaff0dd |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf497a88b48190b87bf175fe224211 |
completed | March 22, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4a1f6e1c8190a9ae94e45fb16cf9 |
completed | March 22, 2026, 1:47 a.m. |
Created at: March 20, 2026, 2:06 p.m.