Triple

T16426557
Position Surface form Disambiguated ID Type / Status
Subject Walili E398957 entity
Predicate locatedNearCity P3883 FINISHED
Object Meknes 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: Meknes | Statement: [Walili, locatedNearCity, Meknes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meknes
Context triple: [Walili, locatedNearCity, Meknes]
  • 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. Oujda
    Oujda is a major city in northeastern Morocco near the Algerian border, known as an important commercial and cultural center of the region.
  • D. Sefrou
    Sefrou is a historic town in northern Morocco known for its traditional medina, cherry festival, and location near the Middle Atlas mountains.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fb6cd881908fb6cd1c60f5ac3c completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9c8de4819093ae3901cf0c8805 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:09 a.m.