Triple

T7164891
Position Surface form Disambiguated ID Type / Status
Subject Lusaka Province E167040 entity
Predicate language P15 FINISHED
Object Bemba E286634 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: Bemba | Statement: [Lusaka Province, language, Bemba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bemba
Context triple: [Lusaka Province, language, Bemba]
  • A. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • B. Bemba language chosen
    Bemba is a major Bantu language spoken primarily in Zambia, serving as one of the country’s most widely used lingua francas in daily life, education, and media.
  • C. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • D. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • E. Bemba people
    The Bemba people are a major Bantu ethnic group of central and northern Zambia, known for their matrilineal social structure, rich oral traditions, and historical Bemba Kingdom.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e83168a08190937ff46797d94f3e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b901cb608190acd25c22b38a1957 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:47 p.m.