Triple

T6201616
Position Surface form Disambiguated ID Type / Status
Subject Chamber of Deputies of Rwanda E138646 entity
Predicate country P26 FINISHED
Object Rwanda E25102 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: Rwanda | Statement: [Chamber of Deputies of Rwanda, country, Rwanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rwanda
Context triple: [Chamber of Deputies of Rwanda, country, Rwanda]
  • A. Rwanda chosen
    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.
  • B. 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.
  • C. Burundi
    Burundi is a small, landlocked country in East Africa known for its hilly terrain, location along Lake Tanganyika, and ethnically diverse population.
  • D. 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.
  • E. Butaro, Rwanda
    Butaro, Rwanda is a rural town in northern Rwanda known for its innovative, community-focused health facilities and scenic volcanic landscapes.
  • 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062559bcc81908942bb4d25fe8158 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d0a11e881908bdef0e61fe3e7e3 completed March 27, 2026, 7:08 a.m.
Created at: March 22, 2026, 4:20 p.m.