Triple

T6409621
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, University of British Columbia E127670 entity
Predicate hasDepartment P35 FINISHED
Object School of Audiology and Speech Sciences
The School of Audiology and Speech Sciences is an academic unit at the University of British Columbia that specializes in education and research related to hearing, speech, and language disorders.
E590686 NE FINISHED

How this triple was built (4 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: School of Audiology and Speech Sciences | Statement: [Faculty of Medicine, University of British Columbia, hasDepartment, School of Audiology and Speech Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Audiology and Speech Sciences
Context triple: [Faculty of Medicine, University of British Columbia, hasDepartment, School of Audiology and Speech Sciences]
  • A. School of Communication Sciences and Disorders
    The School of Communication Sciences and Disorders is a McGill University academic unit specializing in education and research on speech, language, and hearing, including the training of speech-language pathologists and related professionals.
  • B. Department of Speech and Hearing Science
    The Department of Speech and Hearing Science is an academic unit at the University of Illinois Urbana–Champaign focused on research and education in human communication, speech, language, and hearing.
  • C. Department of Communication Sciences and Disorders
    The Department of Communication Sciences and Disorders is an academic unit specializing in the study, research, and clinical training related to speech, language, and hearing processes and their disorders.
  • D. Department of Speech, Language, and Hearing Sciences (University of Arizona)
    The Department of Speech, Language, and Hearing Sciences at the University of Arizona is an academic unit that conducts education and research in communication disorders, speech and language development, and audiology.
  • E. Speech and Hearing in Communication
    "Speech and Hearing in Communication" is a foundational book in acoustics and psychoacoustics that systematically explains how speech is produced, transmitted, and perceived by the human auditory system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Audiology and Speech Sciences
Triple: [Faculty of Medicine, University of British Columbia, hasDepartment, School of Audiology and Speech Sciences]
Generated description
The School of Audiology and Speech Sciences is an academic unit at the University of British Columbia that specializes in education and research related to hearing, speech, and language disorders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Audiology and Speech Sciences
Target entity description: The School of Audiology and Speech Sciences is an academic unit at the University of British Columbia that specializes in education and research related to hearing, speech, and language disorders.
  • A. School of Communication Sciences and Disorders
    The School of Communication Sciences and Disorders is a McGill University academic unit specializing in education and research on speech, language, and hearing, including the training of speech-language pathologists and related professionals.
  • B. Department of Speech and Hearing Science
    The Department of Speech and Hearing Science is an academic unit at the University of Illinois Urbana–Champaign focused on research and education in human communication, speech, language, and hearing.
  • C. Department of Communication Sciences and Disorders
    The Department of Communication Sciences and Disorders is an academic unit specializing in the study, research, and clinical training related to speech, language, and hearing processes and their disorders.
  • D. Department of Speech, Language, and Hearing Sciences (University of Arizona)
    The Department of Speech, Language, and Hearing Sciences at the University of Arizona is an academic unit that conducts education and research in communication disorders, speech and language development, and audiology.
  • E. Speech and Hearing in Communication
    "Speech and Hearing in Communication" is a foundational book in acoustics and psychoacoustics that systematically explains how speech is produced, transmitted, and perceived by the human auditory system.
  • F. None of above. chosen

Provenance (5 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cdf25881908d42a5d979637ad6 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b7582481909640965acf261dff completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63b74688881909bb41db1ec89daf6 completed March 27, 2026, 8:10 a.m.
NED2 Entity disambiguation (via description) batch_69c63be025c88190b24cf4168b8194a0 completed March 27, 2026, 8:12 a.m.
Created at: March 22, 2026, 4:41 p.m.