Triple

T10534005
Position Surface form Disambiguated ID Type / Status
Subject Skala du Port E248515 entity
Predicate region P40 FINISHED
Object Marrakesh-Safi E486301 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-Safi | Statement: [Skala du Port, region, Marrakesh-Safi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marrakesh-Safi
Context triple: [Skala du Port, region, Marrakesh-Safi]
  • A. Marrakesh-Safi chosen
    Marrakesh-Safi is an administrative region in central-western Morocco known for the historic city of Marrakesh and its Atlantic coastline around Safi.
  • B. Marrakesh
    Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
  • C. 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.
  • D. 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.
  • E. Guelmim
    Guelmim is a city in southern Morocco known as a gateway to the Sahara and a regional center for Saharan trade and culture.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a1a754c8190b53f2df28a1dfef1 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50983ce848190ab375145019ff69b completed April 19, 2026, 4:57 p.m.
Created at: April 6, 2026, 12:31 p.m.