Triple

T14569165
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object Banque du Cantal
Banque du Cantal was a regional French bank, likely based in the Cantal department, that played a role in local finance and economic development.
 E1184773 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 du Cantal | Statement: [DELAG, foundedBy, Banque du Cantal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque du Cantal
Context triple: [DELAG, foundedBy, Banque du Cantal]
  • A. Banque du Gard
    Banque du Gard was a regional French bank that played a key role in local finance and later became part of the DELAG corporate structure.
  • B. Banque du Puy-de-Dôme
    Banque du Puy-de-Dôme was a regional French bank based in the Puy-de-Dôme department that played a role in local economic and financial development.
  • C. 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.
  • D. Banque du Tarn
    Banque du Tarn was a regional French bank whose financial activities and capital support led to the creation of the company DELAG.
  • E. Banque du Midi
    Banque du Midi was a regional French bank historically active in the south of France, involved in commercial and industrial financing.
  • 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 du Cantal
Triple: [DELAG, foundedBy, Banque du Cantal]
Generated description
Banque du Cantal was a regional French bank, likely based in the Cantal department, that played a role in local finance and economic development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque du Cantal
Target entity description: Banque du Cantal was a regional French bank, likely based in the Cantal department, that played a role in local finance and economic development.
  • A. Banque du Gard
    Banque du Gard was a regional French bank that played a key role in local finance and later became part of the DELAG corporate structure.
  • B. Banque du Puy-de-Dôme
    Banque du Puy-de-Dôme was a regional French bank based in the Puy-de-Dôme department that played a role in local economic and financial development.
  • C. 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.
  • D. Banque du Tarn
    Banque du Tarn was a regional French bank whose financial activities and capital support led to the creation of the company DELAG.
  • E. Banque du Midi
    Banque du Midi was a regional French bank historically active in the south of France, involved in commercial and industrial financing.
  • 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_69ffb590b5cc8190b5f586e0fd2988f6 completed May 9, 2026, 10:30 p.m.
NEDg Description generation batch_69ffb792ebe88190a112a86a3b2dc6ea completed May 9, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7dfbec08190939cdeaf46ea15ae completed May 9, 2026, 10:40 p.m.
Created at: April 10, 2026, 1:23 a.m.