Triple

T7715560
Position Surface form Disambiguated ID Type / Status
Subject Aubusson E174869 entity
Predicate hasDemonym P191 FINISHED
Object Aubussonnaise
Aubussonnaise is the French term for a female inhabitant or native of the town of Aubusson, renowned for its historic tapestry-making tradition.
 E174869 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: Aubussonnaise | Statement: [Aubusson, hasDemonym, Aubussonnaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aubussonnaise
Context triple: [Aubusson, hasDemonym, Aubussonnaise]
  • A. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • B. Amiénois
    Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
  • C. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • D. Aubusson
    Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
  • E. Bresse
    Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
  • 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: Aubussonnaise
Triple: [Aubusson, hasDemonym, Aubussonnaise]
Generated description
Aubussonnaise is the French term for a female inhabitant or native of the town of Aubusson, renowned for its historic tapestry-making tradition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aubussonnaise
Target entity description: Aubussonnaise is the French term for a female inhabitant or native of the town of Aubusson, renowned for its historic tapestry-making tradition.
  • A. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • B. Amiénois
    Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
  • C. Orléat
    Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
  • D. Aubusson chosen
    Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
  • E. Bresse
    Bresse is a historical region in eastern France known for its rich agricultural land, distinctive culinary traditions, and cultural ties to the Franco-Provençal linguistic area.
  • F. None of above.

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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702cbe74081908502ac670515fa3c completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b50cf3208190af9bb2d4126d381b completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b7d8b4b081908f8739a91e96e6ec completed March 29, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69c8b845194c8190b65257cc02b09e6c completed March 29, 2026, 5:27 a.m.
Created at: March 27, 2026, 4:04 p.m.