Triple

T29986611
Position Surface form Disambiguated ID Type / Status
Subject Calc E761749 entity
Predicate hasFeatureForAccessibility P80912 FINISHED
Object Assistive technology support 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: Assistive technology support | Statement: [Calc, hasFeatureForAccessibility, Assistive technology support]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFeatureForAccessibility
Context triple: [Calc, hasFeatureForAccessibility, Assistive technology support]
  • A. hasFeature
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • B. hasAccessibilityVariation
    Indicates that one entity differs from another in terms of accessibility features, conditions, or support.
  • C. 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.
  • D. hasAccessibleAccess
    Indicates that an entity provides a form of access that is usable and reachable under defined accessibility conditions or standards.
  • E. hasFeatureStatus
    Indicates that an entity possesses a particular feature along with its current state or condition.
  • 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_69f2246851148190b8e76206db94b105 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
Created at: April 29, 2026, 6:36 p.m.