Triple

T518879
Position Surface form Disambiguated ID Type / Status
Subject Uganda E10768 entity
Predicate hasLakeShore P1025 FINISHED
Object Lake Victoria E6869 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 Victoria | Statement: [Uganda, hasLakeShore, Lake Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Victoria
Context triple: [Uganda, hasLakeShore, Lake Victoria]
  • A. Lake Victoria chosen
    Lake Victoria is a vast freshwater lake in East Africa, bordered by Tanzania, Uganda, and Kenya, and is renowned as the world’s largest tropical lake and a vital regional resource.
  • 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. Lake Bourget
    Lake Bourget is a large glacial lake in eastern France, renowned for its scenic Alpine setting, biodiversity, and popularity as a destination for boating and outdoor recreation.
  • D. Lake Tana
    Lake Tana is Ethiopia’s largest lake and the primary source of the Blue Nile, renowned for its island monasteries and ecological importance in the Ethiopian Highlands.
  • E. Lake Nasser
    Lake Nasser is a vast artificial reservoir in southern Egypt and northern Sudan, created by the construction of the Aswan High Dam and known for its role in water storage, hydroelectric power, and flood control along the Nile.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f19ee6748190916603ef3a9e27f3 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a42d1a348190abc23d22bda5d9a2 completed March 1, 2026, 8:40 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.