Triple

T2274262
Position Surface form Disambiguated ID Type / Status
Subject Lozi E50731 entity
Predicate historicalRegion P915 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: [Lozi, historicalRegion, Barotseland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barotseland
Context triple: [Lozi, historicalRegion, 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. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • C. Matabeleland
    Matabeleland is a historical region in southwestern Zimbabwe, traditionally inhabited by the Ndebele people and centered around the city of Bulawayo.
  • D. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • E. South Rhodes
    South Rhodes is a municipal unit on the island of Rhodes in Greece, known for its coastal villages, beaches, and relatively undeveloped natural landscapes.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ea6cc88190982527774223127f completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf214f14819098ed0edbbb2f33c0 completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:48 p.m.