Triple

T12071639
Position Surface form Disambiguated ID Type / Status
Subject Mobutu Sese Seko E287437 entity
Predicate ethnicGroup P194 FINISHED
Object Ngbandi E672799 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: Ngbandi | Statement: [Mobutu Sese Seko, ethnicGroup, Ngbandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngbandi
Context triple: [Mobutu Sese Seko, ethnicGroup, Ngbandi]
  • A. Ngbandi chosen
    Ngbandi is a Central African language spoken primarily in the Democratic Republic of the Congo and the Central African Republic, known for its role as a regional lingua franca and its inclusion in the Ubangian language family.
  • B. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • C. Banda-Yangere
    Banda-Yangere is a dialect of the Central Banda language spoken by Banda communities in parts of Central Africa.
  • D. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • E. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045a507081909070ea37173d6f97 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a683a108190b8f05c40ecda5f0e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.