Triple

T1985861
Position Surface form Disambiguated ID Type / Status
Subject University of Tartu Library E43138 entity
Predicate hasDigitalLibraryServices P35796 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: [University of Tartu Library, hasDigitalLibraryServices, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDigitalLibraryServices
Context triple: [University of Tartu Library, hasDigitalLibraryServices, yes]
  • A. hasDigitalLibrary
    Indicates that an entity maintains or provides access to a collection of digital resources or publications.
  • B. hasDigitalCollections
    Indicates that an entity possesses or provides access to one or more collections of materials in digital form.
  • C. hasDigitalArchive
    Indicates that an entity maintains or is associated with a collection of materials stored in a digital archive.
  • D. hasDigitalAccess
    Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
  • E. hasDigitalService
    Indicates that an entity provides, offers, or is associated with a service delivered through digital or online means.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb96f932881908bebfc4176fda7c0 completed March 7, 2026, 5:36 a.m.
PD Predicate disambiguation batch_69abb798d288819083132cf14605bd02 completed March 7, 2026, 5:28 a.m.
PDg Predicate description generation batch_69abb96e07c08190beed60096e9d71b4 completed March 7, 2026, 5:36 a.m.
Created at: March 4, 2026, 7:37 p.m.