Triple
T22504923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingenico |
E556363
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Ingenico EMEA |
—
|
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 EMEA | Statement: [Ingenico, hasSubsidiary, Ingenico EMEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingenico EMEA Context triple: [Ingenico, hasSubsidiary, Ingenico EMEA]
-
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.
ENIC Group
ENIC Group is a British investment company best known for its majority ownership and long-term control of Premier League football club Tottenham Hotspur.
-
E.
Payen
Payen is an automotive aftermarket brand known for producing engine sealing products such as gaskets and seals, owned by Federal-Mogul.
- 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.