Triple

T1468070
Position Surface form Disambiguated ID Type / Status
Subject CMARC E27069 entity
Predicate recordStructure P28890 FINISHED
Object ISO 2709 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: ISO 2709 | Statement: [CMARC, recordStructure, ISO 2709]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 2709
Context triple: [CMARC, recordStructure, ISO 2709]
  • 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. ISO 15022
    ISO 15022 is an international standard that defines a structured, machine-readable format for securities messaging used globally in financial markets.
  • E. ISO/IEC 8652
    ISO/IEC 8652 is the international standard that formally defines the Ada programming language, including its syntax, semantics, and core features.
  • 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: recordStructure
Context triple: [CMARC, recordStructure, ISO 2709]
  • A. encodingStructure
    Indicates the structural scheme or format used to encode information or data.
  • B. segmentStructure
    Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of another entity.
  • C. rootStructure
    Indicates that one entity serves as the primary or foundational structural element upon which another entity is based or organized.
  • D. internalStructure
    Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
  • E. recordHeld
    Indicates that one entity possesses or maintains a particular record associated with another entity or context.
  • F. None of above. chosen

Provenance (5 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.
PD Predicate disambiguation batch_69a4c48121e48190946c23c583e5fb64 completed March 1, 2026, 10:58 p.m.
PDg Predicate description generation batch_69a4c55508948190922aee3230a4323e completed March 1, 2026, 11:01 p.m.
Created at: March 1, 2026, 8:01 p.m.