Triple

T9443772
Position Surface form Disambiguated ID Type / Status
Subject Islamic West E227710 entity
Predicate majorCity P316 FINISHED
Object Marrakesh E24526 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: Marrakesh | Statement: [Islamic West, majorCity, Marrakesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marrakesh
Context triple: [Islamic West, majorCity, Marrakesh]
  • A. Marrakesh chosen
    Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
  • B. Marrakesh-Safi
    Marrakesh-Safi is an administrative region in central-western Morocco known for the historic city of Marrakesh and its Atlantic coastline around Safi.
  • C. Beni Mellal
    Beni Mellal is a major city in central Morocco known for its agricultural importance and its location at the foot of the Middle Atlas mountains.
  • D. Fès-Meknès
    Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
  • E. Beni Mellal-Khénifra
    Beni Mellal-Khénifra is an administrative region in central Morocco known for its agricultural production, mountainous landscapes, and the city of Beni Mellal as a major urban center.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f3171248190b92ab990371e63f5 completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139db9d1081908e2014d6f0e7e925 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:51 p.m.