Triple

T12602875
Position Surface form Disambiguated ID Type / Status
Subject Luba-Kasai E300901 entity
Predicate subclassOf P1244 FINISHED
Object Luba 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 language | Statement: [Luba-Kasai, subclassOf, Luba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luba language
Context triple: [Luba-Kasai, subclassOf, Luba language]
  • A. 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.
  • B. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • C. Lunda language
    The Lunda language is a Bantu language spoken primarily in parts of Angola, the Democratic Republic of the Congo, and Zambia by the Lunda people.
  • D. Lugbara language
    The Lugbara language is a Central Sudanic language spoken primarily by the Lugbara people of northwestern Uganda and northeastern Democratic Republic of the Congo.
  • E. Kaonde language
    The Kaonde language is a Bantu language spoken primarily by the Kaonde people of northwestern Zambia and parts of 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719488748190a07bc7335d62b8e8 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:10 p.m.