Triple

T25566716
Position Surface form Disambiguated ID Type / Status
Subject Boğaziçi University South Campus E640856 entity
Predicate languageOfInstructionDominantAtCampus P56 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: [Boğaziçi University South Campus, languageOfInstructionDominantAtCampus, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfInstructionDominantAtCampus
Context triple: [Boğaziçi University South Campus, languageOfInstructionDominantAtCampus, English]
  • A. primaryLanguageOfInstruction chosen
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • B. 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.
  • C. languageOfTeachings
    Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
  • D. 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.
  • E. languageOfAwardingInstitution
    Indicates the language in which the awarding institution formally grants or documents the award.
  • 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_69e75dc1beb08190bac7d76b8d6e7bc4 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f969b4cc8190afb473a2d8b110bc completed May 3, 2026, 7:29 a.m.
Created at: April 21, 2026, 3:50 p.m.