Triple

T36194500
Position Surface form Disambiguated ID Type / Status
Subject R142 E1047084 entity
Predicate designedForAccessibility P80912 FINISHED
Object yes 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: yes | Statement: [R142, designedForAccessibility, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedForAccessibility
Context triple: [R142, designedForAccessibility, yes]
  • A. accessibilityFeatures chosen
    Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
  • B. isDesignedFor
    Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
  • C. designedForNavigationImprovement
    Indicates that something was intentionally created or configured to enhance the ease, efficiency, or accuracy of navigation.
  • D. designedFeature
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • E. accessible
    Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
  • 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_69f76e3d4fbc81908c159c7beeb4ce00 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff397e19a88190a945b826159f5290 completed May 9, 2026, 1:41 p.m.
PD Predicate disambiguation batch_69ff392400d0819088d30d08d4a774bd completed May 9, 2026, 1:39 p.m.
Created at: May 3, 2026, 4:08 p.m.