Triple

T15787863
Position Surface form Disambiguated ID Type / Status
Subject canton of Cuiseaux E382784 entity
Predicate contains P35 FINISHED
Object Frontenaud
Frontenaud is a small commune in the Saône-et-Loire department in the Bourgogne-Franche-Comté region of eastern France.
 E1176194 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: Frontenaud | Statement: [canton of Cuiseaux, contains, Frontenaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frontenaud
Context triple: [canton of Cuiseaux, contains, Frontenaud]
  • A. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • B. Sainlez
    Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
  • C. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • D. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • E. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • 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: Frontenaud
Triple: [canton of Cuiseaux, contains, Frontenaud]
Generated description
Frontenaud is a small commune in the Saône-et-Loire department in the Bourgogne-Franche-Comté region of eastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frontenaud
Target entity description: Frontenaud is a small commune in the Saône-et-Loire department in the Bourgogne-Franche-Comté region of eastern France.
  • A. Arnaud
    Arnaud is a small commune located in Haiti’s Nippes Department.
  • B. Sainlez
    Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
  • C. Tanguy
    Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
  • D. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • E. Hedebrant
    Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a6365c8190833431cf079b21fb completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff916638048190ad4a6c85da9cef9d completed May 9, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69ff91cf6f7c81908361f85c9a98ae80 completed May 9, 2026, 7:58 p.m.
Created at: April 10, 2026, 4:48 a.m.