Triple

T8159409
Position Surface form Disambiguated ID Type / Status
Subject Kasulu District E190535 entity
Predicate borderCountry P224 FINISHED
Object Burundi E36947 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: Burundi | Statement: [Kasulu District, borderCountry, Burundi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burundi
Context triple: [Kasulu District, borderCountry, Burundi]
  • A. Burundi chosen
    Burundi is a small, landlocked country in East Africa known for its hilly terrain, location along Lake Tanganyika, and ethnically diverse population.
  • B. Rwanda
    Rwanda is a landlocked East African nation known for its dramatic recovery from the 1994 genocide, rapid economic growth, and strong conservation efforts, particularly for mountain gorillas.
  • C. Rwanda-Rundi
    Rwanda-Rundi is a Bantu language group that includes closely related varieties such as Kinyarwanda and Kirundi, spoken primarily in Rwanda and Burundi.
  • D. Tanzania and Burundi
    Tanzania and Burundi are neighboring East African countries that share a border along the eastern shore of Lake Tanganyika.
  • E. Riyom
    Riyom is a town and local government area in Plateau State, central Nigeria, known for its distinctive rock formations and as a homeland of the Berom people.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced43a5448190b2600cbdbabf9d31 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:38 p.m.