Triple

T15957944
Position Surface form Disambiguated ID Type / Status
Subject Paris Principles E386982 entity
Predicate influenced P9 FINISHED
Object FRBR E308404 NE 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: FRBR | Statement: [Paris Principles, influenced, FRBR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FRBR
Context triple: [Paris Principles, influenced, FRBR]
  • A. FRBRoo
    FRBRoo is an object-oriented conceptual model that harmonizes the FRBR bibliographic framework with the CIDOC CRM ontology to support rich, interoperable descriptions of cultural heritage and bibliographic information.
  • B. BIBFRAME
    BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
  • C. Functional Requirements for Bibliographic Records chosen
    Functional Requirements for Bibliographic Records (FRBR) is a conceptual model developed by the International Federation of Library Associations to define user-focused tasks and relationships for bibliographic records in library catalogs.
  • D. MARC
    MARC is a regional planning and coordination agency serving the Kansas City metropolitan area, focusing on transportation, emergency services, environmental planning, and community development.
  • E. MARC
    MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fd7ce08190b5db4b486ccb6e40 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.