Triple

T8112823
Position Surface form Disambiguated ID Type / Status
Subject Rukwa Region E189396 entity
Predicate hasDistrict P459 FINISHED
Object Nkasi District E714996 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: Nkasi District | Statement: [Rukwa Region, hasDistrict, Nkasi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nkasi District
Context triple: [Rukwa Region, hasDistrict, Nkasi District]
  • A. Nkasi District chosen
    Nkasi District is an administrative district in the Rukwa Region of western Tanzania, located along the shores of Lake Tanganyika.
  • B. Nsimbo District
    Nsimbo District is an administrative district in western Tanzania, located in Katavi Region and known for its largely rural character and proximity to protected wildlife areas.
  • C. Mwinilunga District
    Mwinilunga District is a rural district in northwestern Zambia known for its lush forests, high rainfall, and location near the headwaters of major rivers including the Zambezi.
  • D. Nzega District
    Nzega District is an administrative district in central Tanzania known for its rural communities and agriculture, located within the country’s Tabora Region.
  • E. Kasulu District
    Kasulu District is an administrative district in western Tanzania known for its large rural population and proximity to the Burundi border.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432d7dfc8190b9c980f32c7b4623 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd678a4b548190b9d1a584d9139888 completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:32 p.m.