Triple

T14569151
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object 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.
 E1166750 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 Vienne | Statement: [DELAG, foundedBy, Banque de la Vienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque de la Vienne
Context triple: [DELAG, foundedBy, Banque de la Vienne]
  • A. Banque de la Loire
    Banque de la Loire is a French regional bank that played a key role in financing local industry and commerce in the Loire area.
  • B. 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.
  • C. Banque de la Dordogne
    Banque de la Dordogne was a regional French bank that operated in the Dordogne area, providing local financial and banking services.
  • D. Banque de la Charente
    Banque de la Charente is a French regional bank that historically operated in the Charente area, providing financial and commercial banking services.
  • E. Banque de la Saône
    Banque de la Saône was a French regional bank that played a role in local finance and commerce along the Saône River area.
  • 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 Vienne
Triple: [DELAG, foundedBy, Banque de la Vienne]
Generated description
Banque de la Vienne was a French regional bank that played a role in local finance and industry development in the Vienne area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque de la Vienne
Target entity description: Banque de la Vienne was a French regional bank that played a role in local finance and industry development in the Vienne area.
  • A. Banque de la Loire
    Banque de la Loire is a French regional bank that played a key role in financing local industry and commerce in the Loire area.
  • B. 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.
  • C. Banque de la Dordogne
    Banque de la Dordogne was a regional French bank that operated in the Dordogne area, providing local financial and banking services.
  • D. Banque de la Charente
    Banque de la Charente is a French regional bank that historically operated in the Charente area, providing financial and commercial banking services.
  • E. Banque de la Saône
    Banque de la Saône was a French regional bank that played a role in local finance and commerce along the Saône River area.
  • 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_69ff56afa5ec8190a058574dff7431dc completed May 9, 2026, 3:45 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 1:23 a.m.