Triple

T26997123
Position Surface form Disambiguated ID Type / Status
Subject provincial governments of Nepal E680004 entity
Predicate mayRecognizeProvincialLanguages P2982 FINISHED
Object yes 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: yes | Statement: [provincial governments of Nepal, mayRecognizeProvincialLanguages, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayRecognizeProvincialLanguages
Context triple: [provincial governments of Nepal, mayRecognizeProvincialLanguages, yes]
  • A. hasLanguageOfSurroundingCountries
    Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
  • B. isLinguaFrancaOf
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • C. hasOfficialLanguageOfSurroundingCountry
    Indicates that an entity uses as its official language the same language that is official in the country surrounding it.
  • D. recognizedRegionalLanguage chosen
    Indicates that a language holds officially recognized status within a specific region or subnational jurisdiction.
  • E. hasSecondaryNationalLanguage
    Indicates that an entity possesses an officially recognized secondary national language in addition to its primary national language.
  • 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_69eeeb52908c8190bd246244686aa455 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6219552e0819080e649ca35c52621 completed May 2, 2026, 4:08 p.m.
PD Predicate disambiguation batch_69f61b3ee7b08190a0a1bc5d26b757aa completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 6:55 a.m.