Triple

T1162604
Position Surface form Disambiguated ID Type / Status
Subject Marrakesh E24526 entity
Predicate languageUsed P238 FINISHED
Object Moroccan Arabic 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: Moroccan Arabic | Statement: [Marrakesh, languageUsed, Moroccan Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moroccan Arabic
Context triple: [Marrakesh, languageUsed, Moroccan Arabic]
  • A. 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.
  • B. Tashelhit
    Tashelhit is a variety of the Amazigh (Berber) language family spoken primarily in southwestern Morocco.
  • C. 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.
  • D. Kabyle
    Kabyle is a major Northern Berber language spoken primarily in the Kabylie region of Algeria by the Kabyle people.
  • E. Arabic
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb2bb84819088bd94e91c10fb0c completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66803e0881908d2eea76dad028fa completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.