Triple

T14569162
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object Banque du Lot
Banque du Lot was a regional French bank that played a key role in financing local economic activity in the Lot department.
 E1180099 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 Lot | Statement: [DELAG, foundedBy, Banque du Lot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque du Lot
Context triple: [DELAG, foundedBy, Banque du Lot]
  • 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 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 Bordeaux
    Banque de Bordeaux was a regional French bank based in Bordeaux that played a role in the development of local finance and commerce.
  • D. Banque du Midi
    Banque du Midi was a regional French bank historically active in the south of France, involved in commercial and industrial financing.
  • E. Banque des Pyrénées
    Banque des Pyrénées is a regional French bank historically serving the Pyrenees area, providing financial services to local individuals and businesses.
  • 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 Lot
Triple: [DELAG, foundedBy, Banque du Lot]
Generated description
Banque du Lot was a regional French bank that played a key role in financing local economic activity in the Lot department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque du Lot
Target entity description: Banque du Lot was a regional French bank that played a key role in financing local economic activity in the Lot department.
  • 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 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 Bordeaux
    Banque de Bordeaux was a regional French bank based in Bordeaux that played a role in the development of local finance and commerce.
  • D. Banque du Midi
    Banque du Midi was a regional French bank historically active in the south of France, involved in commercial and industrial financing.
  • E. Banque des Pyrénées
    Banque des Pyrénées is a regional French bank historically serving the Pyrenees area, providing financial services to local individuals and businesses.
  • 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_69ffa11c81f481909129eef69e47d079 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa417ee248190808b0fecfb58d705 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5372f248190827cdc4985fee1ef completed May 9, 2026, 9:20 p.m.
Created at: April 10, 2026, 1:23 a.m.