Triple

T20685362
Position Surface form Disambiguated ID Type / Status
Subject sas E508397 entity
Predicate hasCodeSet P18653 FINISHED
Object ISO 639 NE NERFINISHED

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 639 | Statement: [sas, hasCodeSet, ISO 639]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 639
Context triple: [sas, hasCodeSet, ISO 639]
  • A. ISO 639 chosen
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • B. ISO 639-3
    ISO 639-3 is an international standard that assigns three-letter codes to uniquely identify the world’s languages, including many lesser-known and endangered ones.
  • C. ISO 639-3 Registration Authority
    The ISO 639-3 Registration Authority is the organization responsible for maintaining and updating the ISO 639-3 standard, which assigns three-letter codes to the world’s languages.
  • D. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • E. IETF BCP 47
    IETF BCP 47 is the Internet standard that defines the structure and use of language tags for identifying human languages and related variants in digital systems.
  • 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: hasCodeSet
Context triple: [sas, hasCodeSet, ISO 639]
  • A. hasCodeSpace
    Indicates that an entity is associated with a particular code space or coding namespace in which its identifiers or codes are defined.
  • B. hasCodeScheme chosen
    Indicates that something is associated with or organized according to a particular coding or classification scheme.
  • C. hasCodeElementsFor
    Indicates a relationship where one entity contains, defines, or is associated with specific code elements (such as classes, methods, or functions) that implement or support another entity.
  • D. hasCodeIn
    Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
  • E. hasCodeLetters
    Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
  • F. None of above.

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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beabf72881909771b6c6a81276d6 completed April 21, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69e5c03caee881908be4dd25796a03d5 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 11:45 a.m.