Triple

T16887839
Position Surface form Disambiguated ID Type / Status
Subject Ibn Danan Synagogue E421583 entity
Predicate municipality P852 FINISHED
Object Fès-Meknès E84155 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: Fès-Meknès | Statement: [Ibn Danan Synagogue, municipality, Fès-Meknès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fès-Meknès
Context triple: [Ibn Danan Synagogue, municipality, Fès-Meknès]
  • A. Fès-Meknès chosen
    Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
  • B. Meknes
    Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
  • 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. Rabat-Salé-Kénitra
    Rabat-Salé-Kénitra is an administrative region in northwestern Morocco that includes the national capital Rabat and the important cities of Salé and Kénitra.
  • E. Marrakesh
    Marrakesh is a historic and vibrant city in western Morocco, renowned for its bustling medina, iconic red sandstone architecture, and rich cultural heritage.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b39d39481908f5d7aa21008fc63 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:29 a.m.