Triple

T20324356
Position Surface form Disambiguated ID Type / Status
Subject Inanda E492292 entity
Predicate languageMajority P237 FINISHED
Object Zulu 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: Zulu | Statement: [Inanda, languageMajority, Zulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zulu
Context triple: [Inanda, languageMajority, Zulu]
  • A. 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.
  • 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
    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.
  • D. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • E. Siswati
    Siswati is a Bantu language of the Nguni group spoken primarily in Eswatini and South Africa, where it holds official status.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778e59508190bfd7a3ce44d56a93 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:21 a.m.