Triple

T18343592
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Economics and Management, University of Trento E439472 entity
Predicate alsoOffersLanguageOfInstruction P36226 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: [Faculty of Economics and Management, University of Trento, alsoOffersLanguageOfInstruction, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoOffersLanguageOfInstruction
Context triple: [Faculty of Economics and Management, University of Trento, alsoOffersLanguageOfInstruction, English]
  • A. alsoUsesLanguageOfInstruction chosen
    Indicates that an entity, in addition to its primary language, uses the same language that is designated as the language of instruction in a given context.
  • B. languageOfTeachings
    Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
  • C. languageOfAwardingInstitution
    Indicates the language in which the awarding institution formally grants or documents the award.
  • D. hasLanguageOfStudy
    Indicates that an entity studies or is engaged in learning a particular language.
  • E. taughtAsForeignLanguageIn
    Indicates that a language is taught as a foreign (non-native) language within a particular educational context or institution.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f2c8ec8190b045482846a68204 completed April 19, 2026, 5:46 p.m.
PD Predicate disambiguation batch_69e44fe91bc08190906518e1b120fcf0 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:37 a.m.