Triple

T441209
Position Surface form Disambiguated ID Type / Status
Subject Anglo-Norman E10116 entity
Predicate influenced P9 FINISHED
Object 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.
E55712 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: Guernsey Legal French | Statement: [Anglo-Norman, influenced, Guernsey Legal French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guernsey Legal French
Context triple: [Anglo-Norman, influenced, Guernsey Legal French]
  • A. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • B. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • C. Seychellois Creole
    Seychellois Creole is a French-based creole language spoken primarily in Seychelles, where it serves as a national and widely used lingua franca.
  • D. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • E. Corsican language
    Corsican language is a Romance language closely related to Italian, traditionally spoken on the island of Corsica and parts of northern Sardinia.
  • 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: Guernsey Legal French
Triple: [Anglo-Norman, influenced, Guernsey Legal French]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guernsey Legal French
Target entity description: 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.
  • A. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • B. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • C. Seychellois Creole
    Seychellois Creole is a French-based creole language spoken primarily in Seychelles, where it serves as a national and widely used lingua franca.
  • D. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • E. Corsican language
    Corsican language is a Romance language closely related to Italian, traditionally spoken on the island of Corsica and parts of northern Sardinia.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2af84881909635ebbbb3465b1b completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a43e71ec4c8190ac1b80c01e0e83ad completed March 1, 2026, 1:26 p.m.
NEDg Description generation batch_69a43f2a7c848190b54aa6eb8e67ddaf completed March 1, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69a43fcb0da4819088f4d491592e2a5a completed March 1, 2026, 1:31 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.