Triple

T14375534
Position Surface form Disambiguated ID Type / Status
Subject Tariq ibn Ziyad E356463 entity
Predicate regionOfActivity P82 FINISHED
Object Maghreb E2576 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: Maghreb | Statement: [Tariq ibn Ziyad, regionOfActivity, Maghreb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maghreb
Context triple: [Tariq ibn Ziyad, regionOfActivity, Maghreb]
  • A. Maghrib
    Maghrib is the Islamic sunset prayer, one of the five daily obligatory prayers in Islam.
  • B. North Africa chosen
    North Africa is a region encompassing the northernmost countries of the African continent, characterized by its Sahara Desert landscapes, Mediterranean coastline, and a cultural blend of Arab, Berber, and African influences.
  • C. Maghreb coast
    The Maghreb coast is the stretch of North African shoreline along the Mediterranean Sea, spanning countries such as Morocco, Algeria, and Tunisia.
  • D. Middle East and North Africa
    The Middle East and North Africa is a transcontinental region spanning parts of Western Asia and North Africa, known for its shared historical, cultural, and linguistic ties, particularly through the Arab world and Islam.
  • E. northern Morocco
    Northern Morocco is a region of Morocco encompassing historic cities like Fez and characterized by Mediterranean coastline, Rif Mountains, and a rich blend of Arab, Berber, and Andalusian cultural influences.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.