Triple
T1352599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittany |
E28915
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Breton language |
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 language | Statement: [Brittany, hasLanguage, Breton language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Breton language Context triple: [Brittany, hasLanguage, Breton language]
-
A.
Breton
chosen
Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
-
B.
Jèrriais
Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
-
C.
Poitevin-Saintongeais
Poitevin-Saintongeais is a Romance language of western France, closely related to French and Occitan, traditionally spoken in the Poitou and Saintonge regions.
-
D.
Walloon language
Walloon language is a regional Romance language spoken primarily in southern Belgium, particularly in Wallonia, with its own distinct phonology and vocabulary separate from standard French.
-
E.
Corsican language
Corsican language is a Romance language closely related to Italian, traditionally spoken on the island of Corsica and parts of northern Sardinia.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26d0c4481908fddda89242a57b3 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc63eef908190aef058396f63a5a4 |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:56 p.m.