Triple
T7001706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Post |
E162351
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | PostFinance |
E634666
|
NE FINISHED |
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: PostFinance | Statement: [Swiss Post, brand, PostFinance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PostFinance Context triple: [Swiss Post, brand, PostFinance]
-
A.
PostFinance
chosen
PostFinance is a major Swiss financial services provider offering banking and payment solutions, particularly known for its nationwide accessibility and role in everyday 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.
Girobank
Girobank was a British state-owned financial institution that provided banking and giro transfer services, originally established and run through the national postal system.
-
D.
SWIFT
SWIFT is a global financial messaging network that enables secure, standardized communication and transaction instructions between banks and other financial institutions worldwide.
-
E.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775573c84819081f34ab2b14b700a |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:33 p.m.