Triple

T6540829
Position Surface form Disambiguated ID Type / Status
Subject Great East Road E168281 entity
Predicate regionServed P82 FINISHED
Object Lusaka Province E167040 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: Lusaka Province | Statement: [Great East Road, regionServed, Lusaka Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusaka Province
Context triple: [Great East Road, regionServed, Lusaka Province]
  • A. Lusaka Province chosen
    Lusaka Province is a central region of Zambia that includes the nation’s capital city and serves as a key political and economic hub.
  • B. Copperbelt Province
    Copperbelt Province is a key mining and industrial region in northern Zambia, historically central to the country’s copper production and economic development.
  • C. Cuanza Sul Province
    Cuanza Sul Province is a coastal region of Angola known for its agricultural economy, diverse ethnic communities, and use of the Kimbundu language among its inhabitants.
  • D. Niassa Province
    Niassa Province is a vast, sparsely populated region in northern Mozambique known for its extensive wilderness areas and rich cultural diversity.
  • E. Cuanza Norte Province
    Cuanza Norte Province is a central Angolan province known for its predominantly Kimbundu-speaking population and a mix of agricultural and forested landscapes.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f782dfb481909e65bb9444ddcda1 completed March 27, 2026, 9:32 p.m.
Created at: March 27, 2026, 1:50 p.m.