Triple

T483515
Position Surface form Disambiguated ID Type / Status
Subject Sudanese Arabic E9822 entity
Predicate influencedBy P9 FINISHED
Object English language E211 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: English language | Statement: [Sudanese Arabic, influencedBy, English language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English language
Context triple: [Sudanese Arabic, influencedBy, English language]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. Oxford English
    Oxford English is a prestigious accent of British English traditionally associated with educated speakers and often used as a standard in broadcasting and formal contexts.
  • C. English Language Arts
    English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
  • D. English American
    English American refers to a U.S. resident or citizen of English ancestry, whose heritage traces back to settlers and immigrants from England.
  • E. Standard English
    Standard English is the widely accepted, codified form of the English language used in formal writing, education, and public communication across English-speaking countries.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0b8fe6081909f8ab87bfda6b2d8 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4711ea1dc8190ac4bf0efaf0890b7 completed March 1, 2026, 5:02 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.