Triple

T6040736
Position Surface form Disambiguated ID Type / Status
Subject Paul Kagame E134536 entity
Predicate ethnicGroup P194 FINISHED
Object Tutsi E136910 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: Tutsi | Statement: [Paul Kagame, ethnicGroup, Tutsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tutsi
Context triple: [Paul Kagame, ethnicGroup, Tutsi]
  • A. Tutsi chosen
    The Tutsi are a traditionally cattle-herding ethnic group of the African Great Lakes region, historically associated with political power and monarchy in Rwanda and Burundi.
  • B. Hutu
    The Hutu are a Bantu-speaking ethnic group primarily found in Rwanda and Burundi, historically forming the majority population and playing a central role in the region’s social and political dynamics.
  • C. Bemba people
    The Bemba people are a major Bantu ethnic group of central and northern Zambia, known for their matrilineal social structure, rich oral traditions, and historical Bemba Kingdom.
  • D. Tindyebwa
    Tindyebwa is a given name most notably associated with Tindyebwa Agaba Wise, a Rwandan-born human rights activist and former child soldier who became an advocate for refugees in the United Kingdom.
  • E. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cf82d481909d5161fe3643e7ed completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11393f4ec81909f175de55694b44e completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.