Triple

T14569135
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object Banque du Midi
Banque du Midi was a regional French bank historically active in the south of France, involved in commercial and industrial financing.
 E1143577 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 Midi | Statement: [DELAG, foundedBy, Banque du Midi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque du Midi
Context triple: [DELAG, foundedBy, Banque du Midi]
  • A. 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.
  • B. Banque de Marseille
    Banque de Marseille was a prominent French regional bank based in Marseille, historically significant in the development of southern France’s financial and commercial activities.
  • C. Banque de Toulouse
    Banque de Toulouse was a regional French banking institution historically based in Toulouse.
  • D. Banque de Toulon
    Banque de Toulon is a French regional bank historically serving clients in and around the city of Toulon.
  • E. Banque de Dijon
    Banque de Dijon was a regional French bank based in Dijon that played a role in local finance and commerce before being absorbed into larger banking groups.
  • 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 Midi
Triple: [DELAG, foundedBy, Banque du Midi]
Generated description
Banque du Midi was a regional French bank historically active in the south of France, involved in commercial and industrial financing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque du Midi
Target entity description: Banque du Midi was a regional French bank historically active in the south of France, involved in commercial and industrial financing.
  • A. 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.
  • B. Banque de Marseille
    Banque de Marseille was a prominent French regional bank based in Marseille, historically significant in the development of southern France’s financial and commercial activities.
  • C. Banque de Toulouse
    Banque de Toulouse was a regional French banking institution historically based in Toulouse.
  • D. Banque de Toulon
    Banque de Toulon is a French regional bank historically serving clients in and around the city of Toulon.
  • E. Banque de Dijon
    Banque de Dijon was a regional French bank based in Dijon that played a role in local finance and commerce before being absorbed into larger banking groups.
  • 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_69fed31670a48190a606e812a2aa0a6e completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed45bfb0c8190a0a02c51b027bd64 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed4c6aaf88190af2f1d3a1280b825 completed May 9, 2026, 6:31 a.m.
Created at: April 10, 2026, 1:23 a.m.