Triple

T10150383
Position Surface form Disambiguated ID Type / Status
Subject Lukuga River E232618 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: [Lukuga River, flowsThrough, Maniema Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maniema Province
Context triple: [Lukuga 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. Bujumbura Rural Province
    Bujumbura Rural Province is an administrative region in western Burundi surrounding the city of Bujumbura, known for its hilly terrain and including the country’s highest peak, Mount Heha.
  • D. 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.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e640d1e0819094d30556ccb958b0 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.