Triple

T12155689
Position Surface form Disambiguated ID Type / Status
Subject Senegambian languages E289568 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Wolof E28117 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: Wolof | Statement: [Senegambian languages, hasNotableLanguage, Wolof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolof
Context triple: [Senegambian languages, hasNotableLanguage, Wolof]
  • A. Wolof chosen
    Wolof is a major Niger-Congo language spoken primarily in Senegal, The Gambia, and Mauritania, serving as a key lingua franca in the region.
  • B. Wolof people
    The Wolof people are a major West African ethnic group primarily found in Senegal, The Gambia, and Mauritania, known for their rich cultural traditions, influential language, and significant contributions to music and Islamic scholarship.
  • C. Casamance Creole
    Casamance Creole is a Portuguese-based creole language spoken primarily in the Casamance region of Senegal, influenced by local West African languages.
  • D. Dioula
    Dioula is a Mande language of West Africa, widely used as a trade and lingua franca language in countries like Burkina Faso, Côte d’Ivoire, and Mali.
  • E. Tamasheq
    Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.