Triple

T16368444
Position Surface form Disambiguated ID Type / Status
Subject Kabwe E397497 entity
Predicate roadConnection P385 FINISHED
Object Ndola E633696 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: Ndola | Statement: [Kabwe, roadConnection, Ndola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ndola
Context triple: [Kabwe, roadConnection, Ndola]
  • A. Ndola chosen
    Ndola is a major industrial and commercial city in northern Zambia, serving as a key hub for mining, manufacturing, and regional trade.
  • B. Kapiri Mposhi
    Kapiri Mposhi is a town in central Zambia that serves as a key rail and road junction linking the country to Tanzania and other regions.
  • C. Chongwe
    Chongwe is a town in Zambia’s Lusaka Province that serves as a local commercial and administrative center east of the capital, Lusaka.
  • D. 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.
  • E. Tembisa
    Tembisa is a large township in Gauteng, South Africa, situated on the East Rand and known as a densely populated residential area within the City of Ekurhuleni.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.