Triple

T10650396
Position Surface form Disambiguated ID Type / Status
Subject Barotseland E250951 entity
Predicate language P15 FINISHED
Object Silozi E350703 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: Silozi | Statement: [Barotseland, language, Silozi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silozi
Context triple: [Barotseland, language, Silozi]
  • A. Silozi chosen
    Silozi is a Bantu language spoken primarily by the Lozi people of western Zambia and surrounding regions.
  • B. Soshangane
    Soshangane was a 19th-century Nguni military leader who founded the Gaza Empire in southeastern Africa during the upheavals of the Mfecane.
  • C. Kazungula
    Kazungula is a border town in southern Africa, strategically located near the Zambezi River where Botswana, Zambia, Zimbabwe, and Namibia meet, and known for its important regional transport links.
  • D. Chimane
    Chimane are an Indigenous people of the Bolivian Amazon known for their traditional subsistence lifestyle and significance in anthropological and health research.
  • E. Masisi
    Masisi is a town in the eastern Democratic Republic of the Congo, situated in the conflict-affected, mineral-rich highlands of North Kivu Province.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe4b97081908815b77612222318 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a69a57c81908bf99cac0c0a49f2 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:06 p.m.