Triple

T28631201
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian Wikipedia E724642 entity
Predicate hasUserRightsSystem P166232 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: [Ukrainian Wikipedia, hasUserRightsSystem, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUserRightsSystem
Context triple: [Ukrainian Wikipedia, hasUserRightsSystem, true]
  • A. hasRightsOver
    Indicates that one entity possesses legal, moral, or formal entitlements or authority over another entity.
  • B. hasRightsStatus
    Indicates that an entity is associated with a particular legal or usage rights condition or status.
  • C. hasAccessTo
    Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
  • D. hasAccessTowards
    Indicates that one entity possesses the ability, permission, or means to reach, use, or interact with another entity or resource.
  • E. hasAccessBy
    Indicates that one entity is permitted to access, use, or interact with another entity, typically under specified permissions or conditions.
  • 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_69f01d8328c48190bc0e5f9b9b848582 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f66003a3f48190a2ba6da5aafbb5cb completed May 2, 2026, 8:35 p.m.
PD Predicate disambiguation batch_69f65c2198208190a3954086c22cfcbf completed May 2, 2026, 8:18 p.m.
PDg Predicate description generation batch_69f65f75ac608190a62cd6afce14f68e completed May 2, 2026, 8:32 p.m.
Created at: April 28, 2026, 4:37 a.m.