Triple

T805445
Position Surface form Disambiguated ID Type / Status
Subject Queen's University Library system E17420 entity
Predicate usesCataloguingStandard P1587 FINISHED
Object MARC E4784 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: MARC | Statement: [Queen's University Library system, usesCataloguingStandard, MARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARC
Context triple: [Queen's University Library system, usesCataloguingStandard, MARC]
  • A. MARC
    MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
  • B. MARC standards chosen
    MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
  • 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. Z39.50
    Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
  • E. METS
    METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
  • 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: usesCataloguingStandard
Context triple: [Queen's University Library system, usesCataloguingStandard, MARC]
  • A. usesStandard chosen
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • B. hasDeweyDecimalClassification
    Indicates that an item (such as a book or resource) is assigned a specific Dewey Decimal Classification number representing its subject area in a library system.
  • C. hasBibliographicCategory
    Indicates that an entity is associated with a specific bibliographic classification or category within a cataloging or documentation system.
  • D. standardizationStatus
    Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
  • E. isPartOfStandard
    Indicates that something belongs to, is included within, or conforms to a defined standard or standardized set.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68926c04081908923a7d114d1842d completed March 3, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69a4aa70973c8190adbf08302d1103a9 completed March 1, 2026, 9:06 p.m.
Created at: March 1, 2026, 7:38 p.m.