Triple

T248215
Position Surface form Disambiguated ID Type / Status
Subject South African rand E5083 entity
Predicate denominationBanknotes P2871 FINISHED
Object 10 rand LITERAL 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: 10 rand | Statement: [South African rand, denominationBanknotes, 10 rand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: denominationBanknotes
Context triple: [South African rand, denominationBanknotes, 10 rand]
  • A. banknoteDenomination chosen
    Indicates the specific face value assigned to a banknote in a given currency.
  • B. typeOfBanknotes
    Indicates a relationship where one entity specifies the kind or category of banknotes associated with another entity.
  • C. denominationType
    Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
  • D. lastSeriesBanknotesFeatured
    Indicates that the referenced banknotes were the most recent series to prominently feature a particular subject or design.
  • E. denomination
    Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
  • F. None of above.

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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d154ebc819087a5c9dc4f62ff44 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b64ea3081908de626a0e1445bdb completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.