Triple
T1411447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanlam |
E31812
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Glacier by Sanlam |
E161675
|
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: Glacier by Sanlam | Statement: [Sanlam, hasBrand, Glacier by Sanlam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glacier by Sanlam Context triple: [Sanlam, hasBrand, Glacier by Sanlam]
-
A.
Glacier by Sanlam
chosen
Glacier by Sanlam is a South African financial services platform that specializes in investment, retirement, and wealth management solutions for individual and corporate clients.
-
B.
English Glacier
English Glacier is a glacier located on the slopes of Aconcagua, the highest mountain in the Americas, in the Andes of Argentina.
-
C.
Snowflake
Snowflake is a cloud-based data warehousing platform known for its scalable, high-performance analytics and separation of storage and compute.
-
D.
Carbon Glacier
Carbon Glacier is a major valley glacier on the north slope of Mount Rainier in Washington, notable for its great thickness and low terminus elevation.
-
E.
Edelweiss
"Edelweiss" is a gentle, nostalgic song from the musical *The Sound of Music*, widely recognized as one of Richard Rodgers and Oscar Hammerstein II’s most beloved compositions.
- 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_69ad015a52a88190933e7337067e5364 |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:59 p.m.