Triple

T11278384
Position Surface form Disambiguated ID Type / Status
Subject Mazabuka E266996 entity
Predicate partOf P40 FINISHED
Object Mazabuka District E887227 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: Mazabuka District | Statement: [Mazabuka, partOf, Mazabuka District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazabuka District
Context triple: [Mazabuka, partOf, Mazabuka District]
  • A. Mazabuka District chosen
    Mazabuka District is an administrative district in southern Zambia known for its sugarcane production and centered around the town of Mazabuka.
  • B. Kasulu District
    Kasulu District is an administrative district in western Tanzania known for its large rural population and proximity to the Burundi border.
  • C. Mpulungu District
    Mpulungu District is an administrative district in Zambia’s Northern Province, known for encompassing the lakeside town and port of Mpulungu on the shores of Lake Tanganyika.
  • D. Gwembe District
    Gwembe District is an administrative district in southern Zambia known for its rural communities along the Zambezi Valley and proximity to Lake Kariba.
  • E. Seke District
    Seke District is an administrative district in Zimbabwe located within Mashonaland East Province, encompassing both rural communities and areas on the outskirts of Harare.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e967ebb4819080b09ed3cec44e77 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5258cc5208190be268ac6a82c9419 completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:31 p.m.