Triple

T7116180
Position Surface form Disambiguated ID Type / Status
Subject Guernésiais E165824 entity
Predicate hasAlternativeName P39 FINISHED
Object Guernsey French 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: Guernsey French | Statement: [Guernésiais, hasAlternativeName, Guernsey French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guernsey French
Context triple: [Guernésiais, hasAlternativeName, Guernsey French]
  • A. Guernsey Legal French
    Guernsey Legal French is a specialized variety of French used historically in the legal system of Guernsey, preserving many archaic Norman and Anglo-Norman features.
  • B. Guernésiais chosen
    Guernésiais is a Norman language variety traditionally spoken on the Channel Island of Guernsey and its surrounding islets.
  • C. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • D. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • E. Kreol Morisien
    Kreol Morisien is a French-based Creole language spoken primarily in Mauritius and serves as the country’s most widely used lingua franca.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5f401b881909ef4c2ab1e0750db completed March 27, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a32870e481909472f8fcd2501289 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:43 p.m.