Triple

T11807147
Position Surface form Disambiguated ID Type / Status
Subject University of Texas Rio Grande Valley E280775 entity
Predicate hasCollege P113 FINISHED
Object College of Engineering and Computer Science
The College of Engineering and Computer Science is an academic division of the University of Texas Rio Grande Valley that offers undergraduate and graduate programs in engineering and computing disciplines, supporting research and workforce development in South Texas.
E947316 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: College of Engineering and Computer Science | Statement: [University of Texas Rio Grande Valley, hasCollege, College of Engineering and Computer Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College of Engineering and Computer Science
Context triple: [University of Texas Rio Grande Valley, hasCollege, College of Engineering and Computer Science]
  • A. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of California State University, Sacramento that offers undergraduate and graduate programs in engineering and computing disciplines.
  • B. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of California State University, Northridge that offers undergraduate and graduate programs in engineering and computing disciplines, preparing students for technical and professional careers.
  • C. College of Engineering and Computer Science
    The College of Engineering and Computer Science is a major academic unit of Syracuse University offering undergraduate and graduate programs in engineering and computing disciplines.
  • D. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of Wentworth Institute of Technology that offers specialized programs in engineering and computing disciplines.
  • E. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division specializing in engineering and computing disciplines at the University of Michigan–Dearborn.
  • 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: College of Engineering and Computer Science
Triple: [University of Texas Rio Grande Valley, hasCollege, College of Engineering and Computer Science]
Generated description
The College of Engineering and Computer Science is an academic division of the University of Texas Rio Grande Valley that offers undergraduate and graduate programs in engineering and computing disciplines, supporting research and workforce development in South Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: College of Engineering and Computer Science
Target entity description: The College of Engineering and Computer Science is an academic division of the University of Texas Rio Grande Valley that offers undergraduate and graduate programs in engineering and computing disciplines, supporting research and workforce development in South Texas.
  • A. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of the University of Evansville offering undergraduate and possibly graduate programs in engineering and computing disciplines.
  • B. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of California State University, Northridge that offers undergraduate and graduate programs in engineering and computing disciplines, preparing students for technical and professional careers.
  • C. College of Engineering and Computer Science
    The College of Engineering and Computer Science is a major academic unit of the University of Central Florida that offers engineering and computing degree programs and conducts related research.
  • D. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of California State University, Fullerton that offers undergraduate and graduate programs in engineering and computing disciplines.
  • E. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of California State University, Sacramento that offers undergraduate and graduate programs in engineering and computing disciplines.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c93a1881909b428bf3ed55bb57 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131726ab08190ae777bee3ac6df43 completed April 28, 2026, 10:15 p.m.
NEDg Description generation batch_69f141b1c50c819081a8055d951a49de completed April 28, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f14fcb63208190ad1185ad66314fa9 completed April 29, 2026, 12:24 a.m.
Created at: April 8, 2026, 9:42 p.m.