Triple

T11400666
Position Surface form Disambiguated ID Type / Status
Subject Pygmy peoples E270098 entity
Predicate country P26 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: [Pygmy peoples, country, Burundi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burundi
Context triple: [Pygmy peoples, country, 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001adc188190ae45227856156412 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8250c288190b5bff70f7445b815 completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.