Triple

T18656131
Position Surface form Disambiguated ID Type / Status
Subject State House, Lusaka E456069 entity
Predicate locatedIn P40 FINISHED
Object Lusaka Province NE NERFINISHED

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: [State House, Lusaka, locatedIn, Lusaka Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusaka Province
Context triple: [State House, Lusaka, 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. Zambezia Province
    Zambezia Province is a coastal region in central Mozambique known for its fertile river valleys, agricultural production, and diverse ethnic communities.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55084ca3481909ff3fd9045f25dcd completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:47 a.m.