Triple

T20729392
Position Surface form Disambiguated ID Type / Status
Subject Wamba Wamba E509527 entity
Predicate language P15 FINISHED
Object Wemba Wemba 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: Wemba Wemba language | Statement: [Wamba Wamba, language, Wemba Wemba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wemba Wemba language
Context triple: [Wamba Wamba, language, Wemba Wemba language]
  • A. Wemba Wemba language chosen
    The Wemba Wemba language is an Indigenous Australian Aboriginal language traditionally spoken by the Wamba Wamba people of southeastern Australia.
  • B. Yemba language
    Yemba language is a major Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • C. Nyemba language
    The Nyemba language is a Bantu language spoken primarily by the Nyemba (Nyaneka-Nkhumbi) people of southwestern Angola.
  • D. Mbembe language
    The Mbembe language is a Bantu language spoken by the Mbembe people of Cameroon and Nigeria, belonging to the Nyang branch of the Niger-Congo language family.
  • E. Ngbandi language
    The Ngbandi language is a Central Sudanic language spoken primarily in the Central African Republic and the Democratic Republic of the Congo, known for being the linguistic source of the trade language Sango.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1eb5d44819082d9fa410e676d91 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.