Triple

T10398490
Position Surface form Disambiguated ID Type / Status
Subject Ville Nouvelle of Meknes E245081 entity
Predicate contrastedBy P11289 FINISHED
Object narrow streets of the medina LITERAL 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: narrow streets of the medina | Statement: [Ville Nouvelle of Meknes, contrastedBy, narrow streets of the medina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastedBy
Context triple: [Ville Nouvelle of Meknes, contrastedBy, narrow streets of the medina]
  • A. oftenContrastedWith chosen
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • B. dramaticContrastWith
    Indicates that one entity is presented in a way that sharply emphasizes differences in tone, style, or impact when compared with another entity.
  • C. traditionalContrastWith
    Indicates a relationship where one tradition, practice, or belief is explicitly set in opposition or difference to another, highlighting their contrasting characteristics.
  • D. exploresContrastBetween
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • E. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • F. None of above.

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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d1f2408190beaa8197641c66b4 completed April 7, 2026, 11:26 a.m.
PD Predicate disambiguation batch_69d4dfb438c481908dff87c47de2f069 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:07 p.m.