Triple

T22571078
Position Surface form Disambiguated ID Type / Status
Subject ase E558074 entity
Predicate hasStandardCodeSet P18653 FINISHED
Object ISO 639 E18761 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 639 | Statement: [ase, hasStandardCodeSet, ISO 639]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 639
Context triple: [ase, hasStandardCodeSet, 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: hasStandardCodeSet
Context triple: [ase, hasStandardCodeSet, ISO 639]
  • A. hasStandardCode
    Indicates that an entity is associated with a recognized standard code that formally identifies or classifies it.
  • B. hasUnicodeStandard
    Indicates that something conforms to, is defined by, or is associated with a particular version or aspect of the Unicode standard.
  • C. hasStructureCode
    Indicates that an entity is associated with a specific structural identifier or code that defines its organization or configuration.
  • D. hasGssCode
    Indicates that an entity is associated with a specific GSS (Government Statistical Service) code used for official geographic or statistical identification.
  • E. hasCodeScheme chosen
    Indicates that something is associated with or organized according to a particular coding or classification scheme.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fae1ed881909430769a0015c39c completed April 29, 2026, 1:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4def94e88190ae90b1bfb649676c completed May 18, 2026, 5:35 p.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:52 p.m.