Triple

T7663722
Position Surface form Disambiguated ID Type / Status
Subject OAI-PMH E173573 entity
Predicate usesMetadataFormat P33419 FINISHED
Object Dublin Core E166787 NE FINISHED

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: Dublin Core | Statement: [OAI-PMH, usesMetadataFormat, Dublin Core]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin Core
Context triple: [OAI-PMH, usesMetadataFormat, Dublin Core]
  • A. Dublin Core chosen
    Dublin Core is a widely used standard for describing digital resources through a simple, generic set of metadata elements to support discovery and interoperability across systems.
  • B. S-100 metadata framework
    The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
  • C. 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.
  • D. DataCite metadata schema
    The DataCite metadata schema is a widely used standard for describing research datasets and other scholarly outputs to support citation, discovery, and persistent identification.
  • E. Library of Congress Subject Headings
    Library of Congress Subject Headings is a comprehensive controlled vocabulary used by libraries worldwide to provide standardized subject access to cataloged materials.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMetadataFormat
Context triple: [OAI-PMH, usesMetadataFormat, Dublin Core]
  • A. hasMetadata
    Indicates that one entity is associated with descriptive or informational data about another entity.
  • B. includeFormat chosen
    Indicates that one entity contains or specifies the format or representation type of another entity.
  • C. operatesInFormat
    Indicates that an entity functions, performs its role, or is carried out using a specified format.
  • D. usesMetricSignature
    Indicates that one entity adopts or applies a metric signature (a specific pattern of metric signs) defined or provided by another entity.
  • E. meetsFormat
    Indicates that something conforms to, satisfies, or is compliant with a specified format or structural standard.
  • F. None of above.

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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7063dab1881909598b04999b8b690 completed March 27, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
PD Predicate disambiguation batch_69c7015f7430819099d3ea2781b7cee2 completed March 27, 2026, 10:14 p.m.
Created at: March 27, 2026, 3:59 p.m.