Triple

T3017027
Position Surface form Disambiguated ID Type / Status
Subject States Assembly of Jersey E82359 entity
Predicate languageUsed P238 FINISHED
Object Jèrriais (limited use) 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: Jèrriais (limited use) | Statement: [States Assembly of Jersey, languageUsed, Jèrriais (limited use)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jèrriais (limited use)
Context triple: [States Assembly of Jersey, languageUsed, Jèrriais (limited use)]
  • A. Jèrriais chosen
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • B. L'Office du Jèrriais
    L'Office du Jèrriais is the official body responsible for promoting, preserving, and standardizing the Jèrriais language of Jersey.
  • C. Patois
    Patois is a French-based Creole language spoken primarily in the Caribbean, notably in Saint Lucia and Dominica, where it is commonly referred to as Kwéyòl.
  • D. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • E. JW Language
    JW Language is a mobile app developed by Jehovah’s Witnesses to help users learn and practice foreign languages for use in their religious activities.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a6c56708190b7d8d08bca727cc1 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6eac1481909d56844e53c37b59 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.