Triple

T8169999
Position Surface form Disambiguated ID Type / Status
Subject Bantu W languages E190791 entity
Predicate hasMember P10 FINISHED
Object Luba-Katanga language E300902 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: Luba-Katanga language | Statement: [Bantu W languages, hasMember, Luba-Katanga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luba-Katanga language
Context triple: [Bantu W languages, hasMember, Luba-Katanga language]
  • A. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • B. Luba languages chosen
    The Luba languages are a group of closely related Bantu languages spoken primarily in the Democratic Republic of the Congo by the Luba people and neighboring communities.
  • C. Kikongo
    Kikongo is a Bantu language widely spoken in Central Africa, particularly in the western regions of the Democratic Republic of the Congo and neighboring countries.
  • D. Kwango-Kwilu languages
    The Kwango-Kwilu languages are a subgroup of Bantu languages spoken primarily in the Kwango and Kwilu river regions of the Democratic Republic of the Congo and neighboring areas.
  • E. Lingala
    Lingala is a Bantu language widely spoken as a lingua franca in the Democratic Republic of the Congo and the Republic of the Congo, especially in urban centers and along the Congo River.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4803de688190960438aa059d163b completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced5a4398819085364b3a45a85941 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:39 p.m.