Triple
T22504874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WLN |
E556362
|
entity |
| Predicate | underlyingCompany |
P6745
|
FINISHED |
| Object | Worldline SA |
—
|
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 SA | Statement: [WLN, underlyingCompany, Worldline SA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worldline SA Context triple: [WLN, underlyingCompany, Worldline SA]
-
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.
Payen
Payen is an automotive aftermarket brand known for producing engine sealing products such as gaskets and seals, owned by Federal-Mogul.
-
C.
Euler Hermes
Euler Hermes is a global trade credit insurance and risk management company that operates as part of the Allianz Group.
-
D.
JCB Co., Ltd.
JCB Co., Ltd. is a major Japanese credit card company and payment brand that helped establish global security standards for the payment card industry.
-
E.
Elavon
Elavon is a global payment processing company that provides merchant acquiring and related financial services to businesses of all sizes.
- 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.