Triple
T4508930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkshire Bank |
E102001
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | Virgin Money UK |
E39795
|
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: Virgin Money UK | Statement: [Yorkshire Bank, parentOrganization, Virgin Money UK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin Money UK Context triple: [Yorkshire Bank, parentOrganization, Virgin Money UK]
-
A.
Virgin Money
chosen
Virgin Money is a UK-based financial services company offering banking and related products under Richard Branson’s Virgin brand.
-
B.
Barclaycard
Barclaycard is a major British credit card and payment services brand owned by Barclays, known for its widespread consumer and business financial products and past high-profile sports sponsorships.
-
C.
Santander UK
Santander UK is a major British retail and commercial bank, part of the Spanish Santander Group, offering a wide range of banking and financial services across the United Kingdom.
-
D.
Midland Bank
Midland Bank was a major British commercial bank, historically one of the UK’s “Big Four,” later acquired by HSBC.
-
E.
Worldline
Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd571138b88190b68bbfc4300aaf9d |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f7c1bd08190bc7b7028a512a466 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.