Triple

T22483145
Position Surface form Disambiguated ID Type / Status
Subject Taysir E555814 entity
Predicate nameUsageRegion P908 FINISHED
Object Maghreb NE NERFINISHED

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: [Taysir, nameUsageRegion, Maghreb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maghreb
Context triple: [Taysir, nameUsageRegion, Maghreb]
  • A. Maghrib
    Maghrib is the Islamic sunset prayer, one of the five daily obligatory prayers in Islam.
  • B. North Africa
    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. المغرب العربي chosen
    المغرب العربي هو منطقة جغرافية وثقافية في شمال غرب إفريقيا تضم عدة دول عربية وتتميز بإرث حضاري إسلامي وأمازيغي عريق.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3b03d881909e286a124c1a2b1c completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.