Triple

T4049782
Position Surface form Disambiguated ID Type / Status
Subject Fès-Meknès E84155 entity
Predicate contains P35 FINISHED
Object Meknès E47150 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: Meknès | Statement: [Fès-Meknès, contains, Meknès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meknès
Context triple: [Fès-Meknès, contains, Meknès]
  • A. Meknes chosen
    Meknes is a historic imperial city in northern Morocco known for its grand gates, monumental architecture, and UNESCO-listed medina.
  • B. Fès-Meknès
    Fès-Meknès is an administrative region in north-central Morocco that includes the historic imperial cities of Fez and Meknès.
  • C. 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.
  • D. Oujda
    Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
  • E. Larache
    Larache is a coastal city in northwestern Morocco, situated along the Atlantic Ocean and known for its historic medina and nearby ancient Phoenician-Roman archaeological site of Lixus.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8413848190992e4b5f3b29b43c completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd42094fec819099d8a8fbeca71bd4 completed March 20, 2026, 12:48 p.m.
Created at: March 9, 2026, 3:37 p.m.