Triple
T1411446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanlam |
E31812
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Sanlam |
E31812
|
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: Sanlam | Statement: [Sanlam, hasBrand, Sanlam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanlam Context triple: [Sanlam, hasBrand, Sanlam]
-
A.
Sanlam
chosen
Sanlam is a major South African financial services group offering insurance, investment, and wealth management solutions across multiple markets.
-
B.
Allianz
Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
-
C.
Swiss Re
Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions worldwide.
-
D.
AXA
AXA is a major French multinational insurance and asset management company headquartered in Paris.
-
E.
Suncorp Group
Suncorp Group is a major Australian finance, insurance, and banking corporation headquartered in Brisbane.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e1da988190bc7c187e193539b6 |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c97ba748190a227457bcb87a733 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 7:59 p.m.