Triple

T6974232
Position Surface form Disambiguated ID Type / Status
Subject Glacier by Sanlam E161675 entity
Predicate parentCompany P254 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: [Glacier by Sanlam, parentCompany, Sanlam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanlam
Context triple: [Glacier by Sanlam, parentCompany, Sanlam]
  • A. Sanlam chosen
    Sanlam is a major South African financial services group offering insurance, investment, and wealth management solutions across multiple markets.
  • B. Investec
    Investec is an international specialist banking and asset management group headquartered in South Africa and the United Kingdom.
  • C. Nedbank
    Nedbank is one of South Africa’s major financial institutions, offering a wide range of banking and financial services to retail, business, and corporate clients.
  • D. Allianz
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • E. Swiss Re
    Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions worldwide.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3bda908190a10a91dc8d043ef1 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c7bb480819092f2ec7b65fb4d28 completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:30 p.m.