Triple

T2103729
Position Surface form Disambiguated ID Type / Status
Subject Uvinza E37146 entity
Predicate regionCapitalOf P204 FINISHED
Object Uvinza District E234422 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: Uvinza District | Statement: [Uvinza, regionCapitalOf, Uvinza District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uvinza District
Context triple: [Uvinza, regionCapitalOf, Uvinza District]
  • A. Uvinza District chosen
    Uvinza District is an administrative district in western Tanzania known for its salt production and location along the Central Railway line.
  • B. Mlele District
    Mlele District is an administrative district located within Tanzania’s Katavi Region, known for its rural communities and proximity to wildlife-rich protected areas.
  • 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. 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.
  • E. Kibondo District
    Kibondo District is an administrative district in western Tanzania’s Kigoma Region, known for its rural communities and proximity to refugee settlements near 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabf7cdc81909636dff34badc1c5 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518fb0b4819096a8ce455e22661a completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.