Triple

T14569160
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object Banque du Var
Banque du Var was a regional French bank that played a role in local finance and later became associated with the DELAG airship company through its founding involvement.
 E1133679 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 Var | Statement: [DELAG, foundedBy, Banque du Var]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque du Var
Context triple: [DELAG, foundedBy, Banque du Var]
  • 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 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.
  • C. Banque de Toulon
    Banque de Toulon is a French regional bank historically serving clients in and around the city of Toulon.
  • 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 de l’Aisne
    Banque de l’Aisne was a French regional bank that played a role in early 20th-century industrial and aviation 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 Var
Triple: [DELAG, foundedBy, Banque du Var]
Generated description
Banque du Var was a regional French bank that played a role in local finance and later became associated with the DELAG airship company through its founding involvement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque du Var
Target entity description: Banque du Var was a regional French bank that played a role in local finance and later became associated with the DELAG airship company through its founding involvement.
  • 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 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.
  • C. Banque de Toulon chosen
    Banque de Toulon is a French regional bank historically serving clients in and around the city of Toulon.
  • 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 de l’Aisne
    Banque de l’Aisne was a French regional bank that played a role in early 20th-century industrial and aviation financing.
  • F. None of above.

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_69ff90815b64819082715292f6088c74 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff93239ed881909954ccceb63f16fd completed May 9, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 1:23 a.m.