Triple

T1985869
Position Surface form Disambiguated ID Type / Status
Subject University of Tartu Library E43138 entity
Predicate hasLegalDepositRole P13082 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, hasLegalDepositRole, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalDepositRole
Context triple: [University of Tartu Library, hasLegalDepositRole, yes]
  • A. hasLegalDepositRightFor
    Indicates that an entity holds the legal right to receive, collect, or claim deposited materials (such as publications or documents) from another entity under legal deposit regulations.
  • B. hasLegalDeposit
    Indicates that an entity is required to deposit copies of its published material with a designated legal deposit institution or repository.
  • C. hasLegalDepositLibrariesNetwork chosen
    Indicates that an entity is associated with or participates in a network of libraries designated for legal deposit of published materials.
  • D. hasLegalAuthorityFrom
    Indicates that one entity possesses formal legal power, rights, or authorization that originates from or is granted by another entity.
  • E. hasCustodyRole
    Indicates that one entity holds a specific custodial responsibility or role in relation to another entity.
  • 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_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.
Created at: March 4, 2026, 7:37 p.m.