Triple

T1340642
Position Surface form Disambiguated ID Type / Status
Subject Cape Verdean Creole E28454 entity
Predicate influencedBy P9 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: [Cape Verdean Creole, influencedBy, Wolof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolof
Context triple: [Cape Verdean Creole, influencedBy, 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. Casamance Creole
    Casamance Creole is a Portuguese-based creole language spoken primarily in the Casamance region of Senegal, influenced by local West African languages.
  • C. 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.
  • D. Tashelhit
    Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
  • E. 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.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c21490488190b4281a16c87677d1 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47654288190851579e84c36ceac completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:56 p.m.