Triple

T1639211
Position Surface form Disambiguated ID Type / Status
Subject Katavi Region E35428 entity
Predicate contains P35 FINISHED
Object Nsimbo District E187126 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: Nsimbo District | Statement: [Katavi Region, contains, Nsimbo District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nsimbo District
Context triple: [Katavi Region, contains, Nsimbo District]
  • A. 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.
  • B. 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.
  • C. Igunga District
    Igunga District is an administrative district in central Tanzania known for its agriculture-based economy and location within the Tabora Region.
  • D. Mlele District chosen
    Mlele District is an administrative district located within Tanzania’s Katavi Region, known for its rural communities and proximity to wildlife-rich protected areas.
  • E. Mpanda District
    Mpanda District is an administrative district in western Tanzania known for its proximity to Katavi National Park and its largely rural, sparsely populated landscape.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a1c2b148190b6610237d5bede10 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a61de8819095005c222ec50810 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:28 p.m.