Triple

T4802624
Position Surface form Disambiguated ID Type / Status
Subject R1: Doctoral Universities – Very high research activity E106871 entity
Predicate partOf P40 FINISHED
Object Carnegie Classification of Institutions of Higher Education
The Carnegie Classification of Institutions of Higher Education is a widely used framework in the United States for categorizing colleges and universities based on their research activity, degree offerings, and institutional characteristics.
E468672 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: Carnegie Classification of Institutions of Higher Education | Statement: [R1: Doctoral Universities – Very high research activity, partOf, Carnegie Classification of Institutions of Higher Education]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carnegie Classification of Institutions of Higher Education
Context triple: [R1: Doctoral Universities – Very high research activity, partOf, Carnegie Classification of Institutions of Higher Education]
  • A. R2: Doctoral Universities – High research activity
    R2: Doctoral Universities – High research activity is a Carnegie Classification category for institutions that award a significant number of doctoral degrees and conduct substantial, though not the very highest level of, research activity.
  • B. Council of Public Liberal Arts Colleges
    The Council of Public Liberal Arts Colleges is a consortium of publicly funded institutions dedicated to providing high-quality liberal arts education similar to that of private liberal arts colleges.
  • C. Commission on Colleges
    The Commission on Colleges is the accrediting body within the Southern Association of Colleges and Schools responsible for evaluating and accrediting higher education institutions in the southern United States.
  • D. Higher Learning Commission
    The Higher Learning Commission is a regional accrediting agency in the United States that evaluates and certifies the quality of post-secondary institutions such as colleges and universities.
  • E. Association of American Universities
    The Association of American Universities is an organization of leading research-intensive universities in North America dedicated to advancing higher education and research policy.
  • 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: Carnegie Classification of Institutions of Higher Education
Triple: [R1: Doctoral Universities – Very high research activity, partOf, Carnegie Classification of Institutions of Higher Education]
Generated description
The Carnegie Classification of Institutions of Higher Education is a widely used framework in the United States for categorizing colleges and universities based on their research activity, degree offerings, and institutional characteristics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carnegie Classification of Institutions of Higher Education
Target entity description: The Carnegie Classification of Institutions of Higher Education is a widely used framework in the United States for categorizing colleges and universities based on their research activity, degree offerings, and institutional characteristics.
  • A. R2: Doctoral Universities – High research activity
    R2: Doctoral Universities – High research activity is a Carnegie Classification category for institutions that award a significant number of doctoral degrees and conduct substantial, though not the very highest level of, research activity.
  • B. Council of Public Liberal Arts Colleges
    The Council of Public Liberal Arts Colleges is a consortium of publicly funded institutions dedicated to providing high-quality liberal arts education similar to that of private liberal arts colleges.
  • C. Commission on Colleges
    The Commission on Colleges is the accrediting body within the Southern Association of Colleges and Schools responsible for evaluating and accrediting higher education institutions in the southern United States.
  • D. Higher Learning Commission
    The Higher Learning Commission is a regional accrediting agency in the United States that evaluates and certifies the quality of post-secondary institutions such as colleges and universities.
  • E. Association of American Universities
    The Association of American Universities is an organization of leading research-intensive universities in North America dedicated to advancing higher education and research policy.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c42113081908824f3608e65cbff completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4400103c8190a5417fe75fb50f81 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be44a60c2c8190b47efae80379b21e completed March 21, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69be4530fe5c8190aa976151cdd5bc7a completed March 21, 2026, 7:13 a.m.
Created at: March 20, 2026, 1:23 p.m.