Triple

T21917150
Position Surface form Disambiguated ID Type / Status
Subject Bamileke languages E541208 entity
Predicate closelyRelatedTo P37 FINISHED
Object Bamun language NE NERFINISHED

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: Bamun language | Statement: [Bamileke languages, closelyRelatedTo, Bamun language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamun language
Context triple: [Bamileke languages, closelyRelatedTo, Bamun language]
  • A. Bamun language group chosen
    The Bamun language group is a subgroup of the Grassfields Bantu languages spoken primarily by the Bamun people in western Cameroon.
  • B. 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.
  • C. Bitama language
    The Bitama language is a lesser-known Nilo-Saharan language spoken by a subgroup of the Kunama people in the Horn of Africa.
  • D. Mangbetu language
    The Mangbetu language is a Central Sudanic language spoken by the Mangbetu people of northeastern Democratic Republic of the Congo.
  • E. Munji language
    The Munji language is an Eastern Iranian language spoken by the Munji people in Afghanistan’s remote Munjan Valley, closely related to the Yidgha language of Pakistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233858308190a877d8015db4d380 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:43 p.m.