Triple
T14565764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorrain Romance |
E341780
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Verdunois
Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
|
E1111639
|
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: Verdunois | Statement: [Lorrain Romance, hasDialect, Verdunois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verdunois Context triple: [Lorrain Romance, hasDialect, Verdunois]
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Vivarois
Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
-
C.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
D.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
E.
Valdoie
Valdoie is a commune in northeastern France, situated near the city of Belfort in the Bourgogne-Franche-Comté 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: Verdunois Triple: [Lorrain Romance, hasDialect, Verdunois]
Generated description
Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verdunois Target entity description: Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Vivarois
Vivarois is a Romance dialect of the Occitan language traditionally spoken in parts of southeastern France.
-
C.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
D.
Chénas
Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
-
E.
Valdoie
Valdoie is a commune in northeastern France, situated near the city of Belfort in the Bourgogne-Franche-Comté 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c57fa4819086912bdd2bda8b80 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd70f6d8c819086321ed4fa20a157 |
completed | May 8, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd771cb188190b44d6e4903fa8f6e |
completed | May 8, 2026, 12:30 p.m. |
Created at: April 10, 2026, 1:23 a.m.