Triple

T6817151
Position Surface form Disambiguated ID Type / Status
Subject Shire River E156793 entity
Predicate source P409 FINISHED
Object Lake Malawi E104313 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: Lake Malawi | Statement: [Shire River, source, Lake Malawi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Malawi
Context triple: [Shire River, source, 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 (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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d354177481908ab3cf5437c095e2 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e0c62c8190b3b3b092ea48d4c5 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.