Triple

T1498954
Position Surface form Disambiguated ID Type / Status
Subject Jèrriais E29750 entity
Predicate hasAlternativeName P39 FINISHED
Object Jersey French E29750 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: Jersey French | Statement: [Jèrriais, hasAlternativeName, Jersey French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jersey French
Context triple: [Jèrriais, hasAlternativeName, Jersey French]
  • A. Guernésiais
    Guernésiais is a Norman language variety traditionally spoken on the Channel Island of Guernsey and its surrounding islets.
  • B. Jèrriais chosen
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • C. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • D. 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.
  • E. Acadian French
    Acadian French is a regional variety of the French language traditionally spoken by Acadian communities in eastern Canada and parts of the northeastern United States, known for its distinct phonology, vocabulary, and historical isolation from other French dialects.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f0ce988190aafab4a6e0dfd710 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2331b49881908672251bb86418df completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8:12 p.m.