Triple

T2738519
Position Surface form Disambiguated ID Type / Status
Subject Bayonne, France E60688 entity
Predicate demonym P191 FINISHED
Object Bayonnais
Bayonnais refers to the inhabitants or natives of Bayonne, a historic city in southwestern France near the Atlantic coast and the Spanish border.
 E295632 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: Bayonnais | Statement: [Bayonne, France, demonym, Bayonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bayonnais
Context triple: [Bayonne, France, demonym, Bayonnais]
  • A. Boudin
    Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
  • B. Roux
    Roux is a residential neighborhood located within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • C. Brie
    Brie is a historic region in north-central France, east of Paris, best known for producing the soft cow’s milk cheese that bears its name.
  • D. Neufchâtel
    Neufchâtel is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • E. Boulanger
    Boulanger is the French term for a baker, a person who professionally prepares and bakes bread and other baked goods.
  • 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: Bayonnais
Triple: [Bayonne, France, demonym, Bayonnais]
Generated description
Bayonnais refers to the inhabitants or natives of Bayonne, a historic city in southwestern France near the Atlantic coast and the Spanish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bayonnais
Target entity description: Bayonnais refers to the inhabitants or natives of Bayonne, a historic city in southwestern France near the Atlantic coast and the Spanish border.
  • A. Boudin
    Boudin is a French surname most famously associated with Eugène Boudin, a pioneering 19th-century landscape and marine painter linked to the origins of Impressionism.
  • B. Roux
    Roux is a residential neighborhood located within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • C. Brie
    Brie is a historic region in north-central France, east of Paris, best known for producing the soft cow’s milk cheese that bears its name.
  • D. Neufchâtel
    Neufchâtel is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • E. Boulanger
    Boulanger is the French term for a baker, a person who professionally prepares and bakes bread and other baked goods.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb147a588190829b74fe05b3a114 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc607d88190bc35ce56ac26dbf9 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbce109f48190be1a31d9300dbee6 completed March 10, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69afbda490ac8190bb12598e26b91677 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.