Triple

T1272315
Position Surface form Disambiguated ID Type / Status
Subject Niger River E15736 entity
Predicate shorterThan P11452 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: [Niger River, shorterThan, Congo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Congo River
Context triple: [Niger River, shorterThan, 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. 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.
  • E. Napo River
    The Napo River is a major tributary of the Amazon River in northwestern South America, flowing from the Andes through Ecuador into Peru and supporting rich rainforest ecosystems and indigenous communities.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06c033081909bc594157abaf5bb completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a9f91808190b44715dc3df31cc3 completed March 8, 2026, 2:41 p.m.
Created at: March 1, 2026, 7:50 p.m.