Triple

T11575214
Position Surface form Disambiguated ID Type / Status
Subject Mbum languages E274485 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Mbum language E274485 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: Mbum language | Statement: [Mbum languages, hasMemberLanguage, Mbum language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbum language
Context triple: [Mbum languages, hasMemberLanguage, Mbum language]
  • A. Mbum languages chosen
    The Mbum languages are a group of closely related Niger-Congo languages spoken primarily in parts of Cameroon, the Central African Republic, and Chad.
  • B. Buduma language
    The Buduma language is an Afro-Asiatic language spoken by the Buduma (Yedina) people around Lake Chad, particularly in Chad and Cameroon.
  • C. Bambam language
    The Bambam language is an Austronesian language spoken in parts of South Sulawesi, Indonesia, known for its place within the region’s diverse indigenous linguistic landscape.
  • D. Medumba language
    Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.