Triple

T10650253
Position Surface form Disambiguated ID Type / Status
Subject Rozi E250947 entity
Predicate primaryRegion P1103 FINISHED
Object Barotseland E250951 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: Barotseland | Statement: [Rozi, primaryRegion, Barotseland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barotseland
Context triple: [Rozi, primaryRegion, Barotseland]
  • A. Barotseland region chosen
    Barotseland region is a historical and cultural area in western Zambia, traditionally associated with the Lozi people and their kingdom.
  • B. Ovamboland
    Ovamboland is a historical region in northern Namibia and southern Angola traditionally inhabited by the Ovambo people, who speak the Oshiwambo language.
  • C. Ciskei
    Ciskei was a nominally independent Bantustan in southeastern South Africa established under apartheid as a homeland for Xhosa-speaking people.
  • D. Sekhukhuneland
    Sekhukhuneland is a historical region in northeastern South Africa that served as the heartland of the Pedi kingdom and culture.
  • E. Nyasaland
    Nyasaland was a former British protectorate in southeastern Africa that later became the independent nation of Malawi in 1964.
  • 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.