Triple

T10150384
Position Surface form Disambiguated ID Type / Status
Subject Lukuga River E232618 entity
Predicate flowsThrough P225 FINISHED
Object Katanga region E801655 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: Katanga region | Statement: [Lukuga River, flowsThrough, Katanga region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katanga region
Context triple: [Lukuga River, flowsThrough, Katanga region]
  • A. Kasai region
    The Kasai region is a central area of the Democratic Republic of the Congo known for its Luba-related ethnic groups, rich cultural traditions, and significant diamond resources.
  • B. 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.
  • 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. Lualaba Province chosen
    Lualaba Province is an administrative region in the southeastern Democratic Republic of the Congo known for its rich mineral resources and strategic location along the upper Congo River basin.
  • 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_69d3009992388190ab2a4aee23d0e004 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:08 p.m.