Triple

T10463626
Position Surface form Disambiguated ID Type / Status
Subject Department of Germanic Studies E246735 entity
Predicate typicalLanguageOfInstruction P36232 FINISHED
Object German 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: German | Statement: [Department of Germanic Studies, typicalLanguageOfInstruction, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalLanguageOfInstruction
Context triple: [Department of Germanic Studies, typicalLanguageOfInstruction, German]
  • A. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • B. languageOfTeachings chosen
    Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
  • C. alsoUsesLanguageOfInstruction
    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.
  • D. languageOfAwardingInstitution
    Indicates the language in which the awarding institution formally grants or documents the award.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50885e220819089e455b646f31e65 completed April 7, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69d4fb7d353c8190a73f439a956c7606 completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:19 p.m.