Triple

T1316594
Position Surface form Disambiguated ID Type / Status
Subject Wolof E28117 entity
Predicate hasDialects P4251 FINISHED
Object Gambian 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: Gambian Wolof | Statement: [Wolof, hasDialects, Gambian Wolof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gambian Wolof
Context triple: [Wolof, hasDialects, Gambian 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. Guinea-Bissau Creole
    Guinea-Bissau Creole is a Portuguese-based creole language widely used as a lingua franca in Guinea-Bissau, blending Portuguese vocabulary with local West African linguistic features.
  • C. Hausa-Fulani
    Hausa-Fulani is a major ethnolinguistic group in West Africa, predominantly Muslim and influential in the politics, culture, and commerce of northern Nigeria and surrounding regions.
  • D. Bambara
    Bambara is a major Mande language widely spoken in Mali and neighboring West African countries, serving as a key lingua franca in the region.
  • E. Fula language
    The Fula language is a widely spoken West and Central African language of the Niger-Congo family, used by the Fulani people across numerous countries from Senegal to Cameroon and beyond.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c175079481909077cf11ed72d6fa completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf2964048190950723487c7cf707 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:55 p.m.