Triple

T15134921
Position Surface form Disambiguated ID Type / Status
Subject King of Nepal E361528 entity
Predicate officialLanguageOfCourt P34970 FINISHED
Object Nepali 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: Nepali | Statement: [King of Nepal, officialLanguageOfCourt, Nepali]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfCourt
Context triple: [King of Nepal, officialLanguageOfCourt, Nepali]
  • 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. languageOfJurisdiction chosen
    Indicates the language officially used for legal and administrative purposes within a given jurisdiction.
  • C. officialLanguageOfRules
    Indicates that a specified language is the formally designated language used for the rules or regulations of a given entity or system.
  • D. officialLanguageOfTitle
    Indicates that a specified language is the officially designated language associated with a particular title or position.
  • E. previousOfficialLanguage
    Indicates that one language formerly held official status in a country, region, or organization before being replaced or losing that status.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b3f6f48190b1ed7c7b28feb7a6 completed April 15, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:07 a.m.