Triple

T6771942
Position Surface form Disambiguated ID Type / Status
Subject Atlantic English Creole E155063 entity
Predicate hasExampleLanguage P7390 FINISHED
Object Ndyuka language E28673 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: Ndyuka language | Statement: [Atlantic English Creole, hasExampleLanguage, Ndyuka language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ndyuka language
Context triple: [Atlantic English Creole, hasExampleLanguage, Ndyuka language]
  • A. Ndyuka language chosen
    The Ndyuka language is an English-based creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
  • B. Nyishi language
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • C. Dyula language
    The Dyula language is a Mande language of West Africa widely used as a trade and lingua franca in countries such as Côte d’Ivoire, Burkina Faso, and Mali.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Tyap language
    Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f8c0a3481909f33d2252cc1860c completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:13 p.m.