Triple

T188646
Position Surface form Disambiguated ID Type / Status
Subject South Africa E3669 entity
Predicate province P604 FINISHED
Object Gauteng E8041 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: Gauteng | Statement: [South Africa, province, Gauteng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gauteng
Context triple: [South Africa, province, Gauteng]
  • A. Gauteng chosen
    Gauteng is South Africa’s smallest yet most populous and economically dominant province, encompassing major urban centers like Johannesburg and Pretoria.
  • B. Northern Cape
    The Northern Cape is South Africa’s largest and most sparsely populated province, known for its arid landscapes, diamond mining history, and significant Afrikaans-speaking communities.
  • C. Western Cape
    Western Cape is a province in southwestern South Africa known for its large Afrikaner population, coastal landscapes, and the city of Cape Town.
  • D. Eastern Cape
    Eastern Cape is a province in southeastern South Africa known for its diverse landscapes, Xhosa cultural heritage, and historic cities such as Port Elizabeth (Gqeberha) and East London.
  • E. Transvaal
    Transvaal was a former Boer republic and later British colony in what is now northeastern South Africa, central to the conflicts and politics of the late 19th and early 20th centuries.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594abeec8190a48f36817e647fcd completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c91b22c8190a1d04983ae4fd793 completed Feb. 28, 2026, 4:49 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.