Triple

T22848399
Position Surface form Disambiguated ID Type / Status
Subject canton of Loches E566285 entity
Predicate contains P35 FINISHED
Object Bridoré
Bridoré is a small commune in central France’s Indre-et-Loire department, known for its rural character and historic château.
 E1557250 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: Bridoré | Statement: [canton of Loches, contains, Bridoré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bridoré
Context triple: [canton of Loches, contains, Bridoré]
  • A. Dagneux
    Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
  • B. Bihorel
    Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
  • C. La Brague
    La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Barradères
    Barradères is a coastal commune and fishing town in Haiti located within the Nippes Department.
  • 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: Bridoré
Triple: [canton of Loches, contains, Bridoré]
Generated description
Bridoré is a small commune in central France’s Indre-et-Loire department, known for its rural character and historic château.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bridoré
Target entity description: Bridoré is a small commune in central France’s Indre-et-Loire department, known for its rural character and historic château.
  • A. Dagneux
    Dagneux is a commune in eastern France’s Ain department, known for its residential character and proximity to the Lyon metropolitan area.
  • B. Bihorel
    Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
  • C. La Brague
    La Brague is a small river in southeastern France that flows through the Alpes-Maritimes department and is known for the natural park and walking trails along its banks.
  • D. Bongrand
    Bongrand is a fictional character in Émile Zola’s novel *L’Œuvre*, depicted as an older, established painter who contrasts with the avant-garde ambitions of the protagonist.
  • E. Barradères
    Barradères is a coastal commune and fishing town in Haiti located within the Nippes Department.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8aceb88190b137d17a7510fee4 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7bc018c81908665d3a9928734dc completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba951d25481908cbbe34d23352f64 completed May 19, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba9c4bf048190abd9887498fa3621 completed May 19, 2026, 12:07 a.m.
Created at: April 17, 2026, 3:36 p.m.