Triple

T23360486
Position Surface form Disambiguated ID Type / Status
Subject Bali Nyonga E593169 entity
Predicate languageSpoken P151 FINISHED
Object Mungaka 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: Mungaka | Statement: [Bali Nyonga, languageSpoken, Mungaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mungaka
Context triple: [Bali Nyonga, languageSpoken, Mungaka]
  • A. Mungaka chosen
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • B. Mangochi
    Mangochi is a lakeside town in southern Malawi known as a major commercial and tourist center near the southern end of Lake Malawi.
  • C. Mungava
    Mungava is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands in the South Pacific.
  • D. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • E. Manyanga
    Manyanga was an important historical settlement in present-day Zimbabwe that served as the capital of the Rozvi Empire.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0a730f8819088fec53a43b063f8 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.