Triple

T12098640
Position Surface form Disambiguated ID Type / Status
Subject Norman language E288133 entity
Predicate hasDialect P4251 FINISHED
Object Guernésiais E165824 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: Guernésiais | Statement: [Norman language, hasDialect, Guernésiais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guernésiais
Context triple: [Norman language, hasDialect, Guernésiais]
  • A. Guernésiais chosen
    Guernésiais is a Norman language variety traditionally spoken on the Channel Island of Guernsey and its surrounding islets.
  • B. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • C. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • D. Oïl languages
    The Oïl languages are a group of closely related Romance languages historically spoken in northern France and neighboring regions, from which modern French ultimately developed.
  • E. North Frisian
    North Frisian is a minority West Germanic language spoken along the northwest coast of Germany and on the North Frisian Islands, known for its numerous dialects and close relation to other Frisian languages.
  • 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_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.
Created at: April 8, 2026, 9:48 p.m.