Triple

T8486617
Position Surface form Disambiguated ID Type / Status
Subject Accept-Language E200846 entity
Predicate languageTagStandard P6195 FINISHED
Object BCP 47 E682197 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: BCP 47 | Statement: [Accept-Language, languageTagStandard, BCP 47]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BCP 47
Context triple: [Accept-Language, languageTagStandard, BCP 47]
  • A. IETF BCP 47 chosen
    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.
  • B. ISO 639
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • C. 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.
  • D. SSH Language Tags
    SSH Language Tags are standardized identifiers used within the SSH protocol to specify human languages for messages and data, enabling proper localization and internationalization.
  • E. 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.
  • 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: languageTagStandard
Context triple: [Accept-Language, languageTagStandard, BCP 47]
  • A. languageCodeStandard
    Indicates that a language code conforms to a specific standardized coding scheme (such as ISO language code standards).
  • B. ISO639Macrolanguage
    Indicates that a language variety is part of a broader ISO 639-defined macrolanguage grouping that encompasses multiple closely related individual languages.
  • C. nationalLanguageStandardizedIn
    Indicates that a national language has been formally standardized or codified within a particular country or jurisdiction.
  • D. languageStandard chosen
    Indicates that one entity conforms to, is defined by, or is governed by the language rules, specifications, or conventions established by another entity as a standard.
  • E. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.