Triple

T19508257
Position Surface form Disambiguated ID Type / Status
Subject Songwe River E488082 entity
Predicate mouthLocatedIn P417 FINISHED
Object Lake Malawi NE NERFINISHED

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: Lake Malawi | Statement: [Songwe River, mouthLocatedIn, Lake Malawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Malawi
Context triple: [Songwe River, mouthLocatedIn, Lake Malawi]
  • A. Lake Malawi chosen
    Lake Malawi is one of Africa’s largest and deepest freshwater lakes, renowned for its exceptional biodiversity, especially its hundreds of endemic cichlid fish species.
  • B. Lake Tanganyika
    Lake Tanganyika is one of the African Great Lakes, renowned as one of the world’s deepest and oldest freshwater lakes, spanning several countries in East and Central Africa.
  • C. Tanganyika
    Tanganyika is a conflict-affected province in the southeastern Democratic Republic of the Congo, known for ethnic tensions, humanitarian crises, and the presence of UN peacekeeping operations.
  • D. Tanganyika
    Tanganyika was a former British-administered territory in East Africa that gained independence in 1961 and later united with Zanzibar to form the modern nation of Tanzania.
  • E. Lake Mweru
    Lake Mweru is a large freshwater lake on the border between Zambia and the Democratic Republic of the Congo, known for its rich fisheries and role as part of the upper Congo River system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351426448190aec1ee26c09faa24 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.