Triple

T214318
Position Surface form Disambiguated ID Type / Status
Subject MARC standards E4784 entity
Predicate primaryEncoding P1444 FINISHED
Object ISO 2709
ISO 2709 is an international standard that defines the format for the structure and exchange of bibliographic records in machine-readable form.
E4784 NE FINISHED

How this triple was built (5 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: ISO 2709 | Statement: [MARC standards, primaryEncoding, ISO 2709]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 2709
Context triple: [MARC standards, primaryEncoding, ISO 2709]
  • A. MARC standards
    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. ISO 15022
    ISO 15022 is an international standard that defines a structured, machine-readable format for securities messaging used globally in financial markets.
  • D. International Standard Serial Number
    The International Standard Serial Number (ISSN) is an eight-digit code used worldwide to uniquely identify serial publications such as journals, magazines, and newspapers.
  • E. Library of Congress Classification
    Library of Congress Classification is a comprehensive alphanumeric library classification system used primarily by academic and research libraries to organize and arrange their collections by subject.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ISO 2709
Triple: [MARC standards, primaryEncoding, ISO 2709]
Generated description
ISO 2709 is an international standard that defines the format for the structure and exchange of bibliographic records in machine-readable form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ISO 2709
Target entity description: ISO 2709 is an international standard that defines the format for the structure and exchange of bibliographic records in machine-readable form.
  • 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. ISO 15022
    ISO 15022 is an international standard that defines a structured, machine-readable format for securities messaging used globally in financial markets.
  • D. International Standard Serial Number
    The International Standard Serial Number (ISSN) is an eight-digit code used worldwide to uniquely identify serial publications such as journals, magazines, and newspapers.
  • E. Library of Congress Classification
    Library of Congress Classification is a comprehensive alphanumeric library classification system used primarily by academic and research libraries to organize and arrange their collections by subject.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryEncoding
Context triple: [MARC standards, primaryEncoding, ISO 2709]
  • A. primaryMode
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • B. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. primaryAlignment
    Indicates the main or most significant way in which one entity is aligned, associated, or in agreement with another entity, standard, or category.
  • D. encodedIn chosen
    Indicates that one entity is represented, stored, or expressed within another entity using a specific encoding or format.
  • E. encodingBasisFor
    Indicates that one encoding scheme serves as the foundational or reference basis for defining or interpreting another encoding.
  • F. None of above.

Provenance (6 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c32ae208190a03d504ef43ea659 completed Feb. 28, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e3f66888190a05ddcb0af4d3c5f completed Feb. 28, 2026, 7:13 p.m.
NEDg Description generation batch_69a33ee88af08190bfe81fba01856829 completed Feb. 28, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69a34295afa88190aae0d75a337967e3 completed Feb. 28, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69a25b509400819093a6c1a1bac861e3 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.