Triple

T11059307
Position Surface form Disambiguated ID Type / Status
Subject Holden Roberto E261462 entity
Predicate ethnicGroup P194 FINISHED
Object Bakongo E390883 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: Bakongo | Statement: [Holden Roberto, ethnicGroup, Bakongo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakongo
Context triple: [Holden Roberto, ethnicGroup, Bakongo]
  • A. Bakongo chosen
    The Bakongo are a Bantu-speaking ethnic group of Central Africa, primarily inhabiting regions of Angola, the Democratic Republic of the Congo, and the Republic of the Congo, known for their rich cultural traditions and historical Kongo Kingdom heritage.
  • B. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • C. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • D. Bakossi
    The Bakossi are an indigenous Bantu-speaking people of southwestern Cameroon, known for their rich oral traditions, agriculture, and distinctive cultural practices tied to the Bakossi Mountains.
  • E. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e75b90ec8190b1a799e0183c6784 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.