Triple

T21092597
Position Surface form Disambiguated ID Type / Status
Subject Abkhaz Cyrillic alphabet E519671 entity
Predicate supportsDigitalUse P15794 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: [Abkhaz Cyrillic alphabet, supportsDigitalUse, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDigitalUse
Context triple: [Abkhaz Cyrillic alphabet, supportsDigitalUse, yes]
  • A. supportsUse chosen
    Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
  • B. usedInDigitalMedia
    Indicates that something is employed, featured, or incorporated within digital media content or platforms.
  • C. usedSupport
    Indicates that one entity employed or relied on another entity as a means of support or assistance in performing an action or achieving a result.
  • D. hasDigitalService
    Indicates that an entity provides, offers, or is associated with a service delivered through digital or online means.
  • E. hasDigitalAccess
    Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e70950a31c8190bde2d7b414c362c7 completed April 21, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69e5dbfcd5e881908f1e4e0d2d237856 completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:51 p.m.