Triple

T14832782
Position Surface form Disambiguated ID Type / Status
Subject Alençon E348749 entity
Predicate demonym P191 FINISHED
Object Alençonnais
Alençonnais is the French term for a native or inhabitant of the town of Alençon in Normandy, France.
E1121678 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: Alençonnais | Statement: [Alençon, demonym, Alençonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alençonnais
Context triple: [Alençon, demonym, Alençonnais]
  • A. Ambertois
    Ambertois is the French demonym for inhabitants of the town of Ambert in central France.
  • B. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • C. Saint-Gironnais
    Saint-Gironnais refers to the inhabitants or natives of the town of Saint-Girons in southwestern France.
  • D. Amiénois
    Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
  • E. Noyonnais
    Noyonnais is a historical region in northern France centered around the town of Noyon, known for its medieval heritage and role within the former province of Picardy.
  • 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: Alençonnais
Triple: [Alençon, demonym, Alençonnais]
Generated description
Alençonnais is the French term for a native or inhabitant of the town of Alençon in Normandy, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alençonnais
Target entity description: Alençonnais is the French term for a native or inhabitant of the town of Alençon in Normandy, France.
  • A. Ambertois
    Ambertois is the French demonym for inhabitants of the town of Ambert in central France.
  • B. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • C. Saint-Gironnais
    Saint-Gironnais refers to the inhabitants or natives of the town of Saint-Girons in southwestern France.
  • D. Amiénois
    Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
  • E. Noyonnais
    Noyonnais is a historical region in northern France centered around the town of Noyon, known for its medieval heritage and role within the former province of Picardy.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a393988190837fdca148f4058c completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3bcd4a588190990ab1f371373bfb completed May 8, 2026, 7:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe3c9ee6e48190b5d6532804bfc15b completed May 8, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:52 a.m.