Triple
T22504914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingenico |
E556363
|
entity |
| Predicate | spinOffFrom |
P7226
|
FINISHED |
| Object | Worldline |
—
|
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: Worldline | Statement: [Ingenico, spinOffFrom, Worldline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worldline Context triple: [Ingenico, spinOffFrom, Worldline]
-
A.
Worldline
chosen
Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
-
B.
Elavon
Elavon is a global payment processing company that provides merchant acquiring and related financial services to businesses of all sizes.
-
C.
Payen
Payen is an automotive aftermarket brand known for producing engine sealing products such as gaskets and seals, owned by Federal-Mogul.
-
D.
Chase Paymentech
Chase Paymentech is a payment processing and merchant services provider specializing in credit card and electronic transaction solutions for businesses.
-
E.
JCB
JCB is a major British multinational manufacturer of construction, agricultural, and industrial equipment, best known for its yellow diggers and backhoe loaders.
- 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.