Triple
T1037046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celtic languages |
E22386
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object | Breton |
E29282
|
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: Breton | Statement: [Celtic languages, includesLanguage, Breton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breton Context triple: [Celtic languages, includesLanguage, Breton]
-
A.
Breton
chosen
Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
-
B.
Brittany
Brittany is a historic cultural region in northwest France known for its distinct Celtic heritage, Breton language, rugged coastline, and strong Catholic traditions.
-
C.
Jèrriais
Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
-
D.
Mor Breizh
Mor Breizh is the Breton name for the English Channel, the arm of the Atlantic Ocean that separates southern England from northern France.
-
E.
Auvergnat
Auvergnat is a variety of the Occitan language traditionally spoken in France’s Auvergne region and surrounding areas.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82a1014819085bfc077e24c9742 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc378fc8190846d5ffce73371dd |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.