Triple

T14667190
Position Surface form Disambiguated ID Type / Status
Subject Chingola E344408 entity
Predicate locatedIn P40 FINISHED
Object Copperbelt Province E350297 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: Copperbelt Province | Statement: [Chingola, locatedIn, Copperbelt Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copperbelt Province
Context triple: [Chingola, locatedIn, Copperbelt Province]
  • A. Copperbelt Province chosen
    Copperbelt Province is a key mining and industrial region in northern Zambia, historically central to the country’s copper production and economic development.
  • B. Lusaka Province
    Lusaka Province is a central region of Zambia that includes the nation’s capital city and serves as a key political and economic hub.
  • C. Zambezia Province
    Zambezia Province is a coastal region in central Mozambique known for its fertile river valleys, agricultural production, and diverse ethnic communities.
  • D. Midlands Province
    Midlands Province is a central region of Zimbabwe known for its mining activities and agricultural production, with Gweru as its capital city.
  • E. Central Province, Zambia
    Central Province, Zambia is an inland administrative region in central Zambia known for its mix of agricultural areas, mining activities, and major wildlife attractions such as Kafue National Park.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dba87c481908084c3cba5df3fcd completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:27 a.m.