Triple

T19891626
Position Surface form Disambiguated ID Type / Status
Subject Central Province, Zambia E478043 entity
Predicate hasDistrict P459 FINISHED
Object Kabwe 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: Kabwe District | Statement: [Central Province, Zambia, hasDistrict, Kabwe District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kabwe District
Context triple: [Central Province, Zambia, hasDistrict, Kabwe District]
  • A. Kabwe District chosen
    Kabwe District is an administrative region in Zambia’s Central Province that encompasses the city of Kabwe and its surrounding areas.
  • B. Kalungu District
    Kalungu District is an administrative district in central Uganda known for its predominantly rural communities and agriculture-based economy.
  • C. Lusaka District
    Lusaka District is an administrative district in Zambia that encompasses the nation’s capital city, Lusaka, and serves as a key political and economic hub of the country.
  • D. Kwimba District
    Kwimba District is an administrative district in northern Tanzania known for its predominantly rural communities and agriculture-based economy within the Mwanza Region.
  • E. 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.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590ed7988190bc6b610d1f4fa194 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.