Triple

T7487707
Position Surface form Disambiguated ID Type / Status
Subject Aubagne E176922 entity
Predicate twinnedWith P1072 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: [Aubagne, twinnedWith, Meknes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meknes
Context triple: [Aubagne, twinnedWith, 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f55965ac81909d3c3a5422b22d44 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84600d65481908518bc0d7ffcb373 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:43 p.m.