Triple

T5363829
Position Surface form Disambiguated ID Type / Status
Subject Al Haouz Province E103082 entity
Predicate locatedNear P294 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: [Al Haouz Province, locatedNear, Marrakesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marrakesh
Context triple: [Al Haouz Province, locatedNear, 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865d42508190a1a96121674c1020 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bff4ad59748190873288afe4a48878 completed March 22, 2026, 1:54 p.m.
Created at: March 20, 2026, 2:02 p.m.