Triple

T6302165
Position Surface form Disambiguated ID Type / Status
Subject Vijzelgracht metro station E141280 entity
Predicate hasArtOrDesignFeature P68894 FINISHED
Object contemporary interior design 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: contemporary interior design | Statement: [Vijzelgracht metro station, hasArtOrDesignFeature, contemporary interior design]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArtOrDesignFeature
Context triple: [Vijzelgracht metro station, hasArtOrDesignFeature, contemporary interior design]
  • A. hasArtFeature chosen
    Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
  • B. hasDesign
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • C. hasArtDirection
    Indicates that one entity is responsible for or associated with the artistic direction or visual style of another entity.
  • D. hasArtFacilities
    Indicates that an entity provides or is equipped with facilities or resources dedicated to art-related activities.
  • E. artisticCharacteristic
    Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69c060e311b48190b1c74a5cf9435623 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:27 p.m.