Triple

T27738260
Position Surface form Disambiguated ID Type / Status
Subject MatCheckbox E697579 entity
Predicate supportsAccessibilityStandard P201435 FINISHED
Object WAI-ARIA NE NERFINISHED

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: WAI-ARIA | Statement: [MatCheckbox, supportsAccessibilityStandard, WAI-ARIA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsAccessibilityStandard
Context triple: [MatCheckbox, supportsAccessibilityStandard, WAI-ARIA]
  • A. hasTypicalAccessibility
    Indicates that something normally has a particular level or type of accessibility or ease of access.
  • B. providesAccessibility
    Indicates that one entity enables or improves access to another entity, resource, or service, removing or reducing barriers to its use.
  • C. supportsAAC
    Indicates that one entity provides compatibility with, or functional support for, AAC (Augmentative and Alternative Communication) methods or technologies for another entity.
  • D. accessibilityFeatures
    Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
  • E. reportsAccessibility
    Indicates that one entity provides information or feedback about the accessibility or accessible features of another entity.
  • F. None of above. chosen

Provenance (4 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_69ef590c3e288190ad54d2465af8ca4e completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69fff59a00a881909b35b799654b3c45 completed May 10, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69fff4d0a2e081909c972189b33d0128 completed May 10, 2026, 3 a.m.
PDg Predicate description generation batch_69fff59875cc8190864864e951951679 completed May 10, 2026, 3:03 a.m.
Created at: April 27, 2026, 3:13 p.m.