Triple

T418228
Position Surface form Disambiguated ID Type / Status
Subject Gauteng E8041 entity
Predicate partOf P40 FINISHED
Object Highveld E36142 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: Highveld | Statement: [Gauteng, partOf, Highveld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highveld
Context triple: [Gauteng, partOf, Highveld]
  • A. Highveld chosen
    The Highveld is a high-altitude grassland plateau in central South Africa known for its extensive farming, mining, and major cities such as Johannesburg and Pretoria.
  • B. 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.
  • C. Witwatersrand
    Witwatersrand is a mineral-rich escarpment in South Africa, historically famous for its vast gold deposits and for giving its name to the country's currency and the University of the Witwatersrand.
  • D. Zambezi Valley
    The Zambezi Valley is a vast, wildlife-rich river valley in southern Africa, known for its dramatic landscapes along the Zambezi River and protected areas such as Mana Pools.
  • E. Langres Plateau
    The Langres Plateau is a high limestone upland in northeastern France known as a major watershed that gives rise to several important rivers, including the Seine.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee9059248190ba901680431914b5 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a1498808190a3639dedfe8ab5ea completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.