Triple

T2456464
Position Surface form Disambiguated ID Type / Status
Subject Kinshasa E54433 entity
Predicate locatedOnRiver P165 FINISHED
Object Congo River E29137 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: Congo River | Statement: [Kinshasa, locatedOnRiver, Congo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congo River
Context triple: [Kinshasa, locatedOnRiver, Congo River]
  • A. Congo River chosen
    The Congo River is Africa’s second-longest river and the world’s deepest, flowing through central Africa to the Atlantic Ocean and serving as a major waterway for transport, ecology, and regional economies.
  • B. Congo
    Congo is a Central African country whose economy is heavily reliant on oil production and exports.
  • C. Niger River
    The Niger River is a major West African river that flows in a great arc through countries including Guinea, Mali, Niger, and Nigeria before emptying into the Atlantic Ocean.
  • D. Lualaba River
    The Lualaba River is the upper course of the Congo River in the Democratic Republic of the Congo, flowing through the southeast of the country and serving as a key waterway in Central Africa.
  • E. Apa River
    The Apa River is a South American waterway that forms part of the border between Brazil and Paraguay before joining the Paraguay River.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd106f4608190ae17ddbd24fad97e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17932530819097caefff366e2183 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.