Triple

T21629640
Position Surface form Disambiguated ID Type / Status
Subject FirstRand Group E533794 entity
Predicate hasSubsidiary P254 FINISHED
Object FNB NE NERFINISHED

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: FNB | Statement: [FirstRand Group, hasSubsidiary, FNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FNB
Context triple: [FirstRand Group, hasSubsidiary, FNB]
  • A. FNB chosen
    FNB is a major South African financial institution offering a wide range of banking and financial services to individuals and businesses.
  • B. FNB
    FNB is the National Rail station code for Farnborough (Main) railway station in Hampshire, England.
  • 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. HNB
    HNB is the central bank of Croatia, responsible for the country's monetary policy, financial stability, and issuance of the national currency.
  • E. Investec
    Investec is an international specialist banking and asset management group headquartered in South Africa and the United Kingdom.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5215ae3c81909e6dedba23822970 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.