Triple

T1468109
Position Surface form Disambiguated ID Type / Status
Subject KORMARC E27070 entity
Predicate conformsTo P3994 FINISHED
Object MARC 21 principles E4784 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: MARC 21 principles | Statement: [KORMARC, conformsTo, MARC 21 principles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MARC 21 principles
Context triple: [KORMARC, conformsTo, MARC 21 principles]
  • A. 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.
  • B. MARC
    MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
  • C. Maschinelles Austauschformat für Bibliotheken
    Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
  • D. Anglo-American Cataloguing Rules
    Anglo-American Cataloguing Rules is a widely used library cataloging standard that provides guidelines for describing and accessing library materials in English-speaking countries.
  • E. 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.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d70a948190b50a6c1b36abc740 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e7e7f848190a8abcb73e89e8e34 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 8:01 p.m.