Triple

T6975146
Position Surface form Disambiguated ID Type / Status
Subject Lusaka National Museum E161698 entity
Predicate locatedIn P40 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: [Lusaka National Museum, locatedIn, Lusaka Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusaka Province
Context triple: [Lusaka National Museum, locatedIn, 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. 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. 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.
  • E. Niassa Province
    Niassa Province is a vast, sparsely populated region in northern Mozambique known for its extensive wilderness areas and rich cultural diversity.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3d3ab08190b107f3229c357dd2 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e50580c08190aa737043ad7520a0 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:31 p.m.