Triple

T12098669
Position Surface form Disambiguated ID Type / Status
Subject Norman language E288133 entity
Predicate hasAlternativeName P39 FINISHED
Object Normand
Normand is a Romance language variety spoken in the Normandy region of France and the Channel Islands, closely related to French but with its own distinct vocabulary and phonology.
E963339 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: Normand | Statement: [Norman language, hasAlternativeName, Normand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Normand
Context triple: [Norman language, hasAlternativeName, Normand]
  • A. Normandin
    Normandin is a small city in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its agricultural activities and rural character.
  • B. Cambro-Normans
    The Cambro-Normans were descendants of Norman settlers in Wales who played a leading role in the 12th-century Anglo-Norman expansion into Ireland.
  • C. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • D. Louis (French)
    Louis is the French given name corresponding to the name Ludwik in other languages.
  • E. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • 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: Normand
Triple: [Norman language, hasAlternativeName, Normand]
Generated description
Normand is a Romance language variety spoken in the Normandy region of France and the Channel Islands, closely related to French but with its own distinct vocabulary and phonology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Normand
Target entity description: Normand is a Romance language variety spoken in the Normandy region of France and the Channel Islands, closely related to French but with its own distinct vocabulary and phonology.
  • A. Normandin
    Normandin is a small city in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its agricultural activities and rural character.
  • B. Cambro-Normans
    The Cambro-Normans were descendants of Norman settlers in Wales who played a leading role in the 12th-century Anglo-Norman expansion into Ireland.
  • C. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • D. Louis (French)
    Louis is the French given name corresponding to the name Ludwik in other languages.
  • E. The French
    The French is a renowned fine-dining restaurant in Manchester’s Midland Hotel, known for its modern British cuisine and historic, elegant setting.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6724de481909fe29e3278136ea2 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:48 p.m.