Triple

T22504921
Position Surface form Disambiguated ID Type / Status
Subject Ingenico E556363 entity
Predicate hasSubsidiary P254 FINISHED
Object Ingenico Latin America NE NERFINISHED

How this triple was built (2 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: Ingenico Latin America | Statement: [Ingenico, hasSubsidiary, Ingenico Latin America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingenico Latin America
Context triple: [Ingenico, hasSubsidiary, Ingenico Latin America]
  • A. Ingenico chosen
    Ingenico is a global provider of payment terminals and payment services, widely used by merchants for secure electronic transactions.
  • B. Worldline
    Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
  • C. Elavon
    Elavon is a global payment processing company that provides merchant acquiring and related financial services to businesses of all sizes.
  • D. Iberclear
    Iberclear is Spain’s central securities depository responsible for the registration, clearing, and settlement of securities traded on Spanish financial markets.
  • E. Integrated Payment Systems Inc.
    Integrated Payment Systems Inc. was a financial services company that operated money transfer and payment processing businesses later consolidated into what became MoneyGram.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.