Triple

T14569174
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object 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.
 E1196183 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 l’Orne | Statement: [DELAG, foundedBy, Banque de l’Orne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque de l’Orne
Context triple: [DELAG, foundedBy, Banque de l’Orne]
  • A. 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.
  • B. 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.
  • C. Banque de l’Aisne
    Banque de l’Aisne was a French regional bank that played a role in early 20th-century industrial and aviation financing.
  • D. Banque du Calvados
    Banque du Calvados was a regional French bank, likely based in the Calvados department of Normandy, involved in local commercial and financial activities.
  • E. 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.
  • 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 l’Orne
Triple: [DELAG, foundedBy, Banque de l’Orne]
Generated description
Banque de l’Orne was a regional French bank historically active in the Orne department, involved in local commercial and industrial finance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque de l’Orne
Target entity description: Banque de l’Orne was a regional French bank historically active in the Orne department, involved in local commercial and industrial finance.
  • A. 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.
  • B. 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.
  • C. Banque de l’Aisne
    Banque de l’Aisne was a French regional bank that played a role in early 20th-century industrial and aviation financing.
  • D. Banque du Calvados
    Banque du Calvados was a regional French bank, likely based in the Calvados department of Normandy, involved in local commercial and financial activities.
  • E. 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.
  • 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_69fff288ba908190a36c4784331d1e60 completed May 10, 2026, 2:50 a.m.
NEDg Description generation batch_69fff3806ab08190b2450b0f1f4bfc3c completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 1:23 a.m.