Triple

T14136057
Position Surface form Disambiguated ID Type / Status
Subject Copperbelt Province E350297 entity
Predicate majorCity P316 FINISHED
Object Chililabombwe E343322 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: Chililabombwe | Statement: [Copperbelt Province, majorCity, Chililabombwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chililabombwe
Context triple: [Copperbelt Province, majorCity, Chililabombwe]
  • A. Mambwe
    The Mambwe are a Bantu-speaking ethnic group primarily inhabiting parts of northeastern Zambia and southwestern Tanzania, known for their agricultural livelihoods and rich cultural traditions.
  • B. Kalungu
    Kalungu is a district in central Uganda that forms part of the traditional Buganda Kingdom region.
  • C. Butiama
    Butiama is a village in northern Tanzania best known as the birthplace and hometown of the country’s founding president, Julius Nyerere.
  • D. Tongayi
    Tongayi is a Zimbabwean actor known for his roles in film and television, including appearances in international productions.
  • E. Mufulira chosen
    Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324531c88190abab2092d1f7145d completed May 8, 2026, 12:45 a.m.
Created at: April 10, 2026, 12:18 a.m.