Triple

T2664539
Position Surface form Disambiguated ID Type / Status
Subject John E55602 entity
Predicate languageOfUse P237 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: [John, languageOfUse, Breton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breton
Context triple: [John, languageOfUse, 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. Guernésiais
    Guernésiais is a Norman language variety traditionally spoken on the Channel Island of Guernsey and its surrounding islets.
  • D. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • E. Occitania
    Occitania is a historical and cultural region in southern Europe, mainly in southern France and parts of Italy and Spain, traditionally associated with the Occitan language and a distinct Romance cultural heritage.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96dba44819085c3e651afba7806 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98dc36d8819086fc739c324f0761 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:54 p.m.