Triple

T19672354
Position Surface form Disambiguated ID Type / Status
Subject Dodoma Region E472363 entity
Predicate contains P35 FINISHED
Object Chamwino District NE NERFINISHED

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: Chamwino District | Statement: [Dodoma Region, contains, Chamwino District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamwino District
Context triple: [Dodoma Region, contains, Chamwino District]
  • A. Chamwino District chosen
    Chamwino District is an administrative district in Tanzania’s Dodoma Region that includes the area surrounding the national capital’s Chamwino State House.
  • B. Kibaha District
    Kibaha District is an administrative district in Tanzania’s Pwani Region, known for encompassing the town of Kibaha along the main highway west of Dar es Salaam.
  • C. Urambo District
    Urambo District is an administrative district in western Tanzania known for its rural communities and tobacco farming, located within the Tabora Region.
  • D. Magu District
    Magu District is an administrative district in northern Tanzania, located within the Mwanza Region along the southern shores of Lake Victoria.
  • E. Monywa District
    Monywa District is an administrative district in Myanmar’s Sagaing Region, centered around the city of Monywa and known for its agricultural economy and regional trade.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416d61008190af531c6d346d7da1 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.