Triple

T23038246
Position Surface form Disambiguated ID Type / Status
Subject Ngqumbazi E573665 entity
Predicate residence P75 FINISHED
Object Zululand 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: Zululand | Statement: [Ngqumbazi, residence, Zululand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zululand
Context triple: [Ngqumbazi, residence, Zululand]
  • A. Zululand region chosen
    The Zululand region is an area in northeastern KwaZulu-Natal, South Africa, known for its rich Zulu cultural heritage, diverse wildlife reserves, and varied landscapes ranging from coastal plains to inland hills.
  • 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. Thembuland
    Thembuland is a historical region in South Africa that served as the traditional homeland of the Thembu people, an Nguni-speaking group to which figures like Nelson Mandela belong.
  • D. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • E. Central South Africa
    Central South Africa is the inland heartland of the country, encompassing key urban and agricultural areas such as much of the Free State and surrounding regions.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185111f0881908991fcd6cdc7db9f completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:53 p.m.