Triple

T15618743
Position Surface form Disambiguated ID Type / Status
Subject Sangha River E375487 entity
Predicate tributaryOf P415 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: [Sangha River, tributaryOf, Congo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congo River
Context triple: [Sangha River, tributaryOf, 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. Nam River
    The Nam River is a river in South Korea that flows through the city of Jinju and is known for its scenic views and historical significance in the region.
  • D. Kongō
    Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
  • E. 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.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.