Triple

T5548866
Position Surface form Disambiguated ID Type / Status
Subject Narrow Bantu E145475 entity
Predicate includes P1393 FINISHED
Object Zulu language 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: Zulu language | Statement: [Narrow Bantu, includes, Zulu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zulu language
Context triple: [Narrow Bantu, includes, Zulu language]
  • 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. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • D. Xhosa
    Xhosa is a Bantu language of South Africa, known for its distinctive click consonants and as one of the country’s major official languages.
  • E. Nguni languages
    The Nguni languages are a group of closely related Bantu languages of southern Africa that include major tongues such as Zulu, Xhosa, Swati, and Ndebele.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe143ec8190bb67d2530c92a419 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282dd7408190ad762fca9ff5e04b completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.