Triple

T1085042
Position Surface form Disambiguated ID Type / Status
Subject Egyptian Arabic E24030 entity
Predicate influences P9 FINISHED
Object Sudanese Arabic E9822 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: Sudanese Arabic | Statement: [Egyptian Arabic, influences, Sudanese Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudanese Arabic
Context triple: [Egyptian Arabic, influences, Sudanese Arabic]
  • A. Sudanese Arabic chosen
    Sudanese Arabic is a major regional variety of Arabic spoken primarily in Sudan and parts of neighboring countries, characterized by distinctive phonological, lexical, and grammatical features influenced by local languages and cultures.
  • B. Sudanese
    Sudanese refers to people, culture, or things originating from the Northeast African country of Sudan.
  • C. Egyptian Arabic
    Egyptian Arabic is the most widely understood modern Arabic dialect, centered in Egypt and heavily influenced by the speech and media of Cairo.
  • D. Juba Arabic
    Juba Arabic is a pidgin-turned-creole Arabic variety widely used as a lingua franca in South Sudan, particularly around the city of Juba.
  • E. Chadian Arabic
    Chadian Arabic is a variety of Arabic spoken primarily in Chad and neighboring regions, characterized by its distinct phonology and vocabulary while remaining mutually intelligible with other Sudanic Arabic dialects.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b961d0cc8190858296b44fab2f32 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac599e543c8190bbb0558379d8d9d5 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:42 p.m.