Triple

T15787860
Position Surface form Disambiguated ID Type / Status
Subject canton of Cuiseaux E382784 entity
Predicate contains P35 FINISHED
Object Champagnat
Champagnat is a small commune in eastern France, located in the Saône-et-Loire department within the Bourgogne-Franche-Comté region.
E983581 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: Champagnat | Statement: [canton of Cuiseaux, contains, Champagnat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champagnat
Context triple: [canton of Cuiseaux, contains, Champagnat]
  • A. Champagnat
    Champagnat is a French surname most notably associated with Marcellin Champagnat, the Catholic priest who founded the Marist Brothers.
  • B. Arroux
    Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
  • C. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • D. Charroux
    Charroux is a historic commune in western France known for its medieval heritage and the remains of its once-prominent Benedictine abbey.
  • E. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • 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: Champagnat
Triple: [canton of Cuiseaux, contains, Champagnat]
Generated description
Champagnat is a small commune in eastern France, located in the Saône-et-Loire department within the Bourgogne-Franche-Comté region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Champagnat
Target entity description: Champagnat is a small commune in eastern France, located in the Saône-et-Loire department within the Bourgogne-Franche-Comté region.
  • A. Champagnat chosen
    Champagnat is a French surname most notably associated with Marcellin Champagnat, the Catholic priest who founded the Marist Brothers.
  • B. Arroux
    Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
  • C. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • D. Charroux
    Charroux is a historic commune in western France known for its medieval heritage and the remains of its once-prominent Benedictine abbey.
  • E. Fallières
    Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
  • 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_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_6a0067948b308190a434cdf1d45ebef4 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00686f87408190b7d8a41cd54735d8 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a006b6edd7081908730363b267253dd completed May 10, 2026, 11:26 a.m.
Created at: April 10, 2026, 4:48 a.m.