Triple

T2253194
Position Surface form Disambiguated ID Type / Status
Subject Parliament of Morocco E49661 entity
Predicate location P40 FINISHED
Object Rabat E8849 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: Rabat | Statement: [Parliament of Morocco, location, Rabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rabat
Context triple: [Parliament of Morocco, location, Rabat]
  • A. Rabat chosen
    Rabat is the capital city of Morocco, located on the Atlantic coast and known for its historic medina, coastal fortifications, and role as a political and administrative center.
  • B. 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.
  • C. Fès-Meknès
    Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
  • D. Marrakesh
    Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
  • E. Tétouan
    Tétouan is a historic city in northern Morocco near the Mediterranean coast, known for its well-preserved Andalusian-influenced medina, a UNESCO World Heritage Site.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc12029548190af9f2cdd7a4de2d6 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9056833081908dc3a8c74f4fd4c0 completed March 10, 2026, 3:30 a.m.
Created at: March 4, 2026, 7:47 p.m.