Triple
T15631932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KB Financial Group |
E375834
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | KB Insurance |
E1167988
|
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: KB Insurance | Statement: [KB Financial Group, hasBrand, KB Insurance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KB Insurance Context triple: [KB Financial Group, hasBrand, KB Insurance]
-
A.
KB Insurance
chosen
KB Insurance is a South Korean insurance company offering a wide range of non-life and life insurance products and services.
-
B.
KB Capital
KB Capital is a South Korean financial services company specializing in leasing, installment financing, and other credit-related products as part of the KB Financial Group.
-
C.
RBC Insurance
RBC Insurance is the insurance division of the Royal Bank of Canada, offering a range of personal and business insurance products and services.
-
D.
Ryan Insurance Group
Ryan Insurance Group was a prominent insurance brokerage and risk management firm that served as the foundation for what later became the global professional services company Aon plc.
-
E.
Cross Insurance
Cross Insurance is a regional insurance company known for providing a wide range of personal and commercial insurance products, particularly throughout New England.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678ebe288190bd43a72e99e7aa22 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.