Triple

T4200003
Position Surface form Disambiguated ID Type / Status
Subject Mauritian Creole E86042 entity
Predicate hasAlternativeName P39 FINISHED
Object Morisyen
Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
 E419017 NE FINISHED

How this triple was built (4 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: Morisyen | Statement: [Mauritian Creole, hasAlternativeName, Morisyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morisyen
Context triple: [Mauritian Creole, hasAlternativeName, Morisyen]
  • A. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • B. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • C. Poitevin-Saintongeais
    Poitevin-Saintongeais is a Romance language of western France, closely related to French and Occitan, traditionally spoken in the Poitou and Saintonge regions.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. Limousin Occitan
    Limousin Occitan is a regional variety of the Occitan language traditionally spoken in the Limousin area of central France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Morisyen
Triple: [Mauritian Creole, hasAlternativeName, Morisyen]
Generated description
Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morisyen
Target entity description: Morisyen is the French-based Creole language widely spoken in Mauritius and used as a key marker of the island’s national identity.
  • A. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • B. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • C. Poitevin-Saintongeais
    Poitevin-Saintongeais is a Romance language of western France, closely related to French and Occitan, traditionally spoken in the Poitou and Saintonge regions.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. Limousin Occitan
    Limousin Occitan is a regional variety of the Occitan language traditionally spoken in the Limousin area of central France.
  • F. None of above. chosen

Provenance (5 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0363bbb8819093f396afe91972e2 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a14eda88190aaca14644c3e041a completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58ae74ef481908a21ab5f649750e3 completed March 14, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69b58b7aad248190ac4f25fb424e9217 completed March 14, 2026, 4:23 p.m.
Created at: March 9, 2026, 3:49 p.m.