Triple

T1151516
Position Surface form Disambiguated ID Type / Status
Subject CAC 40 E23686 entity
Predicate hasComponent P35 FINISHED
Object Worldline
Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
 E132005 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: Worldline | Statement: [CAC 40, hasComponent, Worldline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Worldline
Context triple: [CAC 40, hasComponent, Worldline]
  • A. Chase Paymentech
    Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
  • B. Girobank
    Girobank was a British state-owned financial institution that provided banking and giro transfer services, originally established and run through the national postal system.
  • C. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • D. Visa
    Visa is a global financial services corporation best known for operating one of the world’s largest electronic payment networks for credit, debit, and prepaid cards.
  • E. Creditex
    Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
  • 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: Worldline
Triple: [CAC 40, hasComponent, Worldline]
Generated description
Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Worldline
Target entity description: Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
  • A. Chase Paymentech
    Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
  • B. Girobank
    Girobank was a British state-owned financial institution that provided banking and giro transfer services, originally established and run through the national postal system.
  • C. Mastercard
    Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
  • D. Visa
    Visa is a global financial services corporation best known for operating one of the world’s largest electronic payment networks for credit, debit, and prepaid cards.
  • E. Creditex
    Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc744e7c81908f8612f2aad28600 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb5d36c8190916a43a5f41df144 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f4756b08190b3dbaf64a9351836 completed March 7, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac600f78148190bd3109276f7b9e3a completed March 7, 2026, 5:27 p.m.
Created at: March 1, 2026, 7:44 p.m.