Triple

T10214236
Position Surface form Disambiguated ID Type / Status
Subject Core Animation E242401 entity
Predicate supportsOpacity P203 FINISHED
Object true 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: true | Statement: [Core Animation, supportsOpacity, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsOpacity
Context triple: [Core Animation, supportsOpacity, true]
  • A. hasTransparencyRequirement
    Indicates that one entity is obligated to provide clear, accessible information or disclosure to another entity or to the public.
  • B. supportsUse
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • C. supportsOverscan
    Indicates that a display device or system is capable of handling overscan, meaning it can properly show content that extends beyond the nominal visible screen area.
  • D. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • E. isTransparentTo
    Indicates that one entity allows another entity (such as light, information, or influence) to pass through or be perceived without obstruction or concealment.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa273bdc8190bc4cf67a7923cebc completed April 6, 2026, 12:42 p.m.
PD Predicate disambiguation batch_69d39559e5ac8190b88eca75956b7e6a completed April 6, 2026, 11:13 a.m.
Created at: April 6, 2026, 11:04 a.m.