Triple

T1939842
Position Surface form Disambiguated ID Type / Status
Subject Safia Farkash E41526 entity
Predicate ethnicGroup P194 FINISHED
Object Libyan Arab E6831 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: Libyan Arab | Statement: [Safia Farkash, ethnicGroup, Libyan Arab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libyan Arab
Context triple: [Safia Farkash, ethnicGroup, Libyan Arab]
  • A. 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.
  • B. Riffian Berber
    Riffian Berber is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • C. Tamazight
    Tamazight is a branch of the Berber (Amazigh) languages of North Africa, encompassing several closely related varieties spoken across countries such as Morocco and Algeria.
  • D. Maghrebi Arabic chosen
    Maghrebi Arabic is a group of closely related Arabic dialects spoken in North Africa, particularly in countries like Morocco, Algeria, Tunisia, Libya, and Mauritania, characterized by significant Berber, French, and other linguistic influences.
  • E. Sudanese Arabic
    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.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2ca385c8190ad0e4bafbb9b5e5c completed March 7, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f81e0c819090e3f2154215ff18 completed March 8, 2026, 10:11 p.m.
Created at: March 4, 2026, 7:36 p.m.