Triple

T18478631
Position Surface form Disambiguated ID Type / Status
Subject Global 30 Project E451498 entity
Predicate officialLanguageOfProgramMaterials P131808 FINISHED
Object Japanese LITERAL FINISHED

How this triple was built (2 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: Japanese | Statement: [Global 30 Project, officialLanguageOfProgramMaterials, Japanese]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfProgramMaterials
Context triple: [Global 30 Project, officialLanguageOfProgramMaterials, Japanese]
  • A. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • B. officialLanguageOfRules
    Indicates that a specified language is the formally designated language used for the rules or regulations of a given entity or system.
  • C. previousOfficialLanguage
    Indicates that one language formerly held official status in a country, region, or organization before being replaced or losing that status.
  • D. officialLanguageOfNomination
    Indicates the language officially used in the nomination process or documentation for a given entity.
  • 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. chosen

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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53065e8388190bb216dae89f8cf75 completed April 19, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69e469d671088190b619de96ea6f92ab completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:35 a.m.