Triple
T7727960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitania |
E175178
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Auvergnat |
E115429
|
NE FINISHED |
How this triple was built (2 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: Auvergnat | Statement: [Occitania, hasDialect, Auvergnat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auvergnat Context triple: [Occitania, hasDialect, Auvergnat]
-
A.
Auvergnat
chosen
Auvergnat is a variety of the Occitan language traditionally spoken in France’s Auvergne region and surrounding areas.
-
B.
Auvergne
Auvergne is a historic region in central France known for its volcanic landscapes, rural character, and Romanesque heritage.
-
C.
Cévennes
The Cévennes is a rugged mountainous region in south-central France known for its dramatic landscapes, chestnut forests, and historical role as a refuge for Protestant Huguenots.
-
D.
Rouergue
Rouergue is a historic cultural region in southern France, centered around the present-day Aveyron department and known for its rural landscapes, medieval towns, and Occitan heritage.
-
E.
Massif Central
The Massif Central is a vast highland region in south-central France characterized by ancient volcanic mountains, plateaus, and deep river valleys.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70315e8e88190a5c7e5d2f2ef66bc |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c98f5b43ec8190836cd5e84ece66c8 |
completed | March 29, 2026, 8:45 p.m. |
Created at: March 27, 2026, 4:06 p.m.