Triple

T17989013
Position Surface form Disambiguated ID Type / Status
Subject Ovamboland E430317 entity
Predicate historicalInhabitants P3032 FINISHED
Object Ndonga 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: Ndonga | Statement: [Ovamboland, historicalInhabitants, Ndonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ndonga
Context triple: [Ovamboland, historicalInhabitants, Ndonga]
  • A. Ndonga chosen
    Ndonga is a major Bantu language variety spoken primarily in northern Namibia and southern Angola, often used in education, media, and religious contexts.
  • B. Nguni
    Nguni refers to a group of closely related Bantu-speaking peoples of Southern Africa, including the Zulu, Xhosa, Swazi, and Ndebele, who share linguistic and cultural ties.
  • C. Ongé
    Ongé is a dialectal variety of the Duala language spoken by a specific subgroup of the Duala people in Cameroon.
  • D. Mòoré
    Mòoré is a major Gur language spoken primarily by the Mossi people in Burkina Faso and surrounding West African countries.
  • E. Kpelle
    Kpelle is a major Mande language spoken primarily in Liberia and Guinea by the Kpelle people.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29e47a88190be58b79c73d3e652 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.