Triple

T3195563
Position Surface form Disambiguated ID Type / Status
Subject Njongonkulu Ndungane E66926 entity
Predicate givenName P17 FINISHED
Object Njongonkulu E336982 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: Njongonkulu | Statement: [Njongonkulu Ndungane, givenName, Njongonkulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Njongonkulu
Context triple: [Njongonkulu Ndungane, givenName, Njongonkulu]
  • A. Mpulungu
    Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
  • B. Kamwambie
    "Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • C. Madikizela
    Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
  • D. Ndungane chosen
    Ndungane is a surname most notably associated with South African Anglican archbishop and social justice advocate Njongonkulu Ndungane.
  • E. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7163c6c8190b26b05b66740264d completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e822b64c8190b053234690841d38 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:07 p.m.