Triple

T23473134
Position Surface form Disambiguated ID Type / Status
Subject BioSample database E570179 entity
Predicate conformsTo P3994 FINISHED
Object FAIR data principles — NE NERFINISHED

How this triple was built (3 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: FAIR data principles | Statement: [BioSample database, conformsTo, FAIR data principles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAIR data principles
Context triple: [BioSample database, conformsTo, FAIR data principles]
  • A. FAIR
    FAIR (Facebook AI Research) is Meta's artificial intelligence research division focused on advancing the state of the art in machine learning and AI through open research and collaboration.
  • B. Open FAIR
    Open FAIR is a risk analysis and quantification framework that provides a standardized, quantitative approach to assessing and comparing information and operational risks.
  • C. The Data of Ethics
    The Data of Ethics is a foundational section of Herbert Spencer’s ethical philosophy that examines the empirical and psychological bases of moral conduct.
  • D. Functional Requirements for Authority Data
    Functional Requirements for Authority Data is an IFLA conceptual model that defines the functions, entities, and relationships needed to support authority control in library and bibliographic information systems.
  • E. OAIS reference model
    The OAIS reference model is an ISO standard framework that defines concepts and responsibilities for the long-term preservation and access of digital information in archival systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAIR data principles
Target entity description: FAIR data principles are a set of guidelines that ensure scientific data are Findable, Accessible, Interoperable, and Reusable to maximize their value and reuse.
  • A. FAIR
    FAIR (Facebook AI Research) is Meta's artificial intelligence research division focused on advancing the state of the art in machine learning and AI through open research and collaboration.
  • B. Open FAIR
    Open FAIR is a risk analysis and quantification framework that provides a standardized, quantitative approach to assessing and comparing information and operational risks.
  • C. The Data of Ethics
    The Data of Ethics is a foundational section of Herbert Spencer’s ethical philosophy that examines the empirical and psychological bases of moral conduct.
  • D. Functional Requirements for Authority Data
    Functional Requirements for Authority Data is an IFLA conceptual model that defines the functions, entities, and relationships needed to support authority control in library and bibliographic information systems.
  • E. OAIS reference model
    The OAIS reference model is an ISO standard framework that defines concepts and responsibilities for the long-term preservation and access of digital information in archival systems.
  • F. None of above. chosen

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a70244208190bbd8f58ac16d4399 completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:58 p.m.