Triple

T16983016
Position Surface form Disambiguated ID Type / Status
Subject Kwanza River E411991 entity
Predicate flowsThrough P225 FINISHED
Object Cuanza Sul Province E348387 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: Cuanza Sul Province | Statement: [Kwanza River, flowsThrough, Cuanza Sul Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuanza Sul Province
Context triple: [Kwanza River, flowsThrough, Cuanza Sul Province]
  • A. Cuanza Sul Province chosen
    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.
  • B. 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.
  • 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. Niassa Province
    Niassa Province is a vast, sparsely populated region in northern Mozambique known for its extensive wilderness areas and rich cultural diversity.
  • E. Lunda Sul Province
    Lunda Sul Province is an eastern province of Angola known for its diamond-rich terrain and largely rural, sparsely populated landscape.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d188ede48190baead48aac84c78d completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232f69308190b4799ffcaaa98eeb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:32 a.m.