Triple

T1450964
Position Surface form Disambiguated ID Type / Status
Subject University of Ljubljana E31288 entity
Predicate hasAdditionalLanguageOfInstruction P9103 FINISHED
Object English 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: English | Statement: [University of Ljubljana, hasAdditionalLanguageOfInstruction, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdditionalLanguageOfInstruction
Context triple: [University of Ljubljana, hasAdditionalLanguageOfInstruction, English]
  • A. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • B. hasLanguageOfStudy
    Indicates that an entity studies or is engaged in learning a particular language.
  • C. hasSecondaryLanguage chosen
    Indicates that an entity possesses or uses a secondary language in addition to its primary language.
  • D. taughtAsForeignLanguageIn
    Indicates that a language is taught as a foreign (non-native) language within a particular educational context or institution.
  • E. historicallyDominantLanguageOfHigherEducationIn
    Indicates that a language has historically been the primary or prevailing medium of instruction and scholarly communication in institutions of higher education within a given place or region.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57bc0908190a57e6bc3d20d5e3c completed March 1, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69a4c47cdbd0819092022344a2f4ad7b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.