Triple
T22504920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingenico |
E556363
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Ingenico North 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 North America | Statement: [Ingenico, hasSubsidiary, Ingenico North America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingenico North America Context triple: [Ingenico, hasSubsidiary, Ingenico North America]
-
A.
Ingenico
chosen
Ingenico is a global provider of payment terminals and payment services, widely used by merchants for secure electronic transactions.
-
B.
Elavon
Elavon is a global payment processing company that provides merchant acquiring and related financial services to businesses of all sizes.
-
C.
Worldline
Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
-
D.
Zebra Technologies
Zebra Technologies is an American company that provides enterprise asset intelligence solutions, including barcode printing, RFID, and data capture technologies for businesses worldwide.
-
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.