Triple

T14998982
Position Surface form Disambiguated ID Type / Status
Subject Uhuru Torch E374032 entity
Predicate countryOfOrigin P26 FINISHED
Object Tanganyika E104892 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: Tanganyika | Statement: [Uhuru Torch, countryOfOrigin, Tanganyika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanganyika
Context triple: [Uhuru Torch, countryOfOrigin, Tanganyika]
  • A. Tanganyika chosen
    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.
  • B. 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.
  • C. 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.
  • D. Lake Malawi
    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.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969c3ba88190899f06b185e94ccf completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:54 a.m.