Triple

T14569129
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object Banque de Perpignan
Banque de Perpignan was a regional French bank based in Perpignan, historically involved in local commercial and financial activities.
 E1136737 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 Perpignan | Statement: [DELAG, foundedBy, Banque de Perpignan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banque de Perpignan
Context triple: [DELAG, foundedBy, Banque de Perpignan]
  • A. Banque de Montpellier
    Banque de Montpellier was a regional French bank based in Montpellier, historically involved in local commercial and financial development.
  • 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 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.
  • E. Banque de Nancy
    Banque de Nancy was a regional French bank based in Nancy that played a significant role in the local financial and industrial development of northeastern France.
  • 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 Perpignan
Triple: [DELAG, foundedBy, Banque de Perpignan]
Generated description
Banque de Perpignan was a regional French bank based in Perpignan, historically involved in local commercial and financial activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banque de Perpignan
Target entity description: Banque de Perpignan was a regional French bank based in Perpignan, historically involved in local commercial and financial activities.
  • A. Banque de Montpellier
    Banque de Montpellier was a regional French bank based in Montpellier, historically involved in local commercial and financial development.
  • 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 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.
  • E. Banque de Nancy
    Banque de Nancy was a regional French bank based in Nancy that played a significant role in the local financial and industrial development of northeastern France.
  • 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_69feadfaddc88190bb1196ace0bfd4ff completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feaf49ac808190ad1f58ffc71c206d completed May 9, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69feaf9f5f6c81909cdf0ba39fc45f6a completed May 9, 2026, 3:53 a.m.
Created at: April 10, 2026, 1:23 a.m.