Triple

T14569176
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object Banque de la Mayenne
Banque de la Mayenne was a regional French bank historically active in the Mayenne area, involved in local finance and business development.
 E1198925 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: Banque de la Mayenne | Statement: [DELAG, foundedBy, Banque de la Mayenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque de la Mayenne
Context triple: [DELAG, foundedBy, Banque de la Mayenne]
  • A. Banque de l’Orne
    Banque de l’Orne was a regional French bank historically active in the Orne department, involved in local commercial and industrial finance.
  • B. Banque de la Sarthe
    Banque de la Sarthe was a regional French bank historically operating in the Sarthe department, involved in local finance and business development.
  • C. Banque de la Vienne
    Banque de la Vienne was a French regional bank that played a role in local finance and industry development in the Vienne area.
  • D. Banque de l’Oise
    Banque de l’Oise was a regional French bank that played a role in local finance and industry development in the Oise department.
  • E. Banque de la Creuse
    Banque de la Creuse was a regional French bank that operated in the Creuse department, providing local financial and banking services.
  • 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: Banque de la Mayenne
Triple: [DELAG, foundedBy, Banque de la Mayenne]
Generated description
Banque de la Mayenne was a regional French bank historically active in the Mayenne area, involved in local finance and business development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque de la Mayenne
Target entity description: Banque de la Mayenne was a regional French bank historically active in the Mayenne area, involved in local finance and business development.
  • A. Banque de l’Orne
    Banque de l’Orne was a regional French bank historically active in the Orne department, involved in local commercial and industrial finance.
  • B. Banque de la Sarthe
    Banque de la Sarthe was a regional French bank historically operating in the Sarthe department, involved in local finance and business development.
  • C. Banque de la Vienne
    Banque de la Vienne was a French regional bank that played a role in local finance and industry development in the Vienne area.
  • D. Banque de l’Oise
    Banque de l’Oise was a regional French bank that played a role in local finance and industry development in the Oise department.
  • E. Banque de la Creuse
    Banque de la Creuse was a regional French bank that operated in the Creuse department, providing local financial and banking services.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee0ff948190911c02f6e50ea2bc completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a00007647a08190bff12da75c4a3c02 completed May 10, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0000e385bc819080e63ced564fe77b completed May 10, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:23 a.m.