Triple
T12098641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman language |
E288133
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Auregnais
Auregnais is an extinct Norman dialect once spoken on the Channel Island of Alderney.
|
E963335
|
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: Auregnais | Statement: [Norman language, hasDialect, Auregnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auregnais Context triple: [Norman language, hasDialect, Auregnais]
-
A.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
B.
Néracais
Néracais is the French demonym for inhabitants of the town of Nérac in southwestern France.
-
C.
Abondance
Abondance is a traditional alpine village in the French Haute-Savoie region, renowned for its namesake cheese and picturesque mountain setting.
-
D.
Abondance
Abondance is a Cubist painting by French artist Henri Le Fauconnier, recognized for its bold geometric forms and vibrant, fragmented depiction of figures and space.
-
E.
Roannais
Roannais is a natural region in central France known for its rolling countryside, agricultural landscapes, and proximity to the upper Loire River.
- 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: Auregnais Triple: [Norman language, hasDialect, Auregnais]
Generated description
Auregnais is an extinct Norman dialect once spoken on the Channel Island of Alderney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Auregnais Target entity description: Auregnais is an extinct Norman dialect once spoken on the Channel Island of Alderney.
-
A.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
B.
Néracais
Néracais is the French demonym for inhabitants of the town of Nérac in southwestern France.
-
C.
Abondance
Abondance is a traditional alpine village in the French Haute-Savoie region, renowned for its namesake cheese and picturesque mountain setting.
-
D.
Abondance
Abondance is a Cubist painting by French artist Henri Le Fauconnier, recognized for its bold geometric forms and vibrant, fragmented depiction of figures and space.
-
E.
Roannais
Roannais is a natural region in central France known for its rolling countryside, agricultural landscapes, and proximity to the upper Loire River.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9155465388190bbe52453c9b11912 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6724de481909fe29e3278136ea2 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fe53d47c8190896a9abf8cc4bc31 |
completed | May 2, 2026, 1:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5ffc2cfd08190b87eccd3a73afc77 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 8, 2026, 9:48 p.m.