Triple

T7954674
Position Surface form Disambiguated ID Type / Status
Subject Bantu H languages E184701 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Kaonde E344446 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: Kaonde | Statement: [Bantu H languages, hasNotableLanguage, Kaonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaonde
Context triple: [Bantu H languages, hasNotableLanguage, Kaonde]
  • A. Kaonde chosen
    Kaonde is a Bantu language spoken primarily by the Kaonde people of northwestern Zambia and parts of the Democratic Republic of the Congo.
  • B. Nakonde
    Nakonde is a town in northeastern Zambia near the border with Tanzania, serving as a key border crossing and trade hub between the two countries.
  • C. Kasindi
    Kasindi is a border town in eastern Democratic Republic of the Congo, located near Uganda and serving as an important regional trade and transport hub.
  • D. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • E. Nyakyusa
    The Nyakyusa are a Bantu-speaking ethnic group primarily inhabiting the northern shores of Lake Malawi in southern Tanzania, known for their intensive agriculture and distinctive age-village social system.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5f74308190aa63a22c3d5feacc completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccec8cfa80819082bc79645f33e18f completed April 1, 2026, 9:59 a.m.
Created at: March 30, 2026, 5:11 p.m.