Triple

T11310921
Position Surface form Disambiguated ID Type / Status
Subject Black South African E267831 entity
Predicate hasLanguage P15 FINISHED
Object isiZulu E10115 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: isiZulu | Statement: [Black South African, hasLanguage, isiZulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: isiZulu
Context triple: [Black South African, hasLanguage, isiZulu]
  • A. Zulu
    The Zulu are a major Southern African ethnic group primarily found in South Africa, known for their rich cultural traditions, historical Zulu Kingdom, and use of the Zulu language.
  • B. Zulu
    Zulu is a 1964 British war film depicting the Battle of Rorke's Drift during the Anglo-Zulu War, noted for being one of Michael Caine's early breakthrough roles.
  • C. Zulu chosen
    Zulu is a Bantu language of the Nguni group spoken primarily in South Africa and widely influential in the country’s culture and other local languages.
  • D. Zindziswa
    Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
  • E. Osizweni
    Osizweni is a township in the Newcastle area of KwaZulu-Natal, South Africa, known as a large residential community within the region.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a7fc06881909afe85a600d25ff2 completed April 19, 2026, 5:01 p.m.
Created at: April 8, 2026, 9:32 p.m.