Triple

T9433190
Position Surface form Disambiguated ID Type / Status
Subject Lualaba River E227434 entity
Predicate flowsThrough P225 FINISHED
Object Maniema Province E473894 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: Maniema Province | Statement: [Lualaba River, flowsThrough, Maniema Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maniema Province
Context triple: [Lualaba River, flowsThrough, Maniema Province]
  • A. Maniema Province chosen
    Maniema Province is a largely forested and mineral-rich administrative region in the eastern Democratic Republic of the Congo, with its capital at Kindu.
  • B. Kigali Province
    Kigali Province is an administrative region in central Rwanda that encompasses the nation’s capital city, Kigali, and serves as its political and economic hub.
  • C. Haut-Katanga Province
    Haut-Katanga Province is a mineral-rich region in southeastern Democratic Republic of the Congo known for its major copper and cobalt mining activities.
  • 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. Kongo Central Province
    Kongo Central Province is a coastal region in western Democratic Republic of the Congo known for its Atlantic shoreline, key ports, and role as a major gateway for the country’s maritime trade.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e61a114819081fc4a2ad39c96ba completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139d4e660819099ec1ffd6c8d3305 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:49 p.m.