Triple

T1670420
Position Surface form Disambiguated ID Type / Status
Subject Saint Louis University E36110 entity
Predicate hasAcademicDivision P50 FINISHED
Object Parks College of Engineering, Aviation and Technology
Parks College of Engineering, Aviation and Technology is Saint Louis University's engineering and aviation school, known for pioneering aviation education and offering programs in engineering, aviation, and related technologies.
E188355 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: Parks College of Engineering, Aviation and Technology | Statement: [Saint Louis University, hasAcademicDivision, Parks College of Engineering, Aviation and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parks College of Engineering, Aviation and Technology
Context triple: [Saint Louis University, hasAcademicDivision, Parks College of Engineering, Aviation and Technology]
  • A. Charles W. Davidson College of Engineering
    The Charles W. Davidson College of Engineering is the engineering school of San Jose State University, known for its strong industry partnerships and programs aligned with Silicon Valley’s technology sector.
  • B. William States Lee College of Engineering
    William States Lee College of Engineering is the engineering school of the University of North Carolina at Charlotte, offering a range of undergraduate and graduate programs in engineering and engineering technology.
  • C. Volgenau School of Engineering
    The Volgenau School of Engineering is the engineering and computing school of George Mason University, offering programs in areas such as civil, mechanical, electrical, computer, and systems engineering, as well as computer science and information technology.
  • D. Ira A. Fulton Schools of Engineering
    The Ira A. Fulton Schools of Engineering is the comprehensive engineering college of Arizona State University, known for its large-scale, interdisciplinary programs and emphasis on innovation and research.
  • E. Shiley School of Engineering
    Shiley School of Engineering is the University of Portland’s engineering college, offering undergraduate and graduate programs in fields such as civil, mechanical, and electrical engineering.
  • 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: Parks College of Engineering, Aviation and Technology
Triple: [Saint Louis University, hasAcademicDivision, Parks College of Engineering, Aviation and Technology]
Generated description
Parks College of Engineering, Aviation and Technology is Saint Louis University's engineering and aviation school, known for pioneering aviation education and offering programs in engineering, aviation, and related technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parks College of Engineering, Aviation and Technology
Target entity description: Parks College of Engineering, Aviation and Technology is Saint Louis University's engineering and aviation school, known for pioneering aviation education and offering programs in engineering, aviation, and related technologies.
  • A. Charles W. Davidson College of Engineering
    The Charles W. Davidson College of Engineering is the engineering school of San Jose State University, known for its strong industry partnerships and programs aligned with Silicon Valley’s technology sector.
  • B. William States Lee College of Engineering
    William States Lee College of Engineering is the engineering school of the University of North Carolina at Charlotte, offering a range of undergraduate and graduate programs in engineering and engineering technology.
  • C. Volgenau School of Engineering
    The Volgenau School of Engineering is the engineering and computing school of George Mason University, offering programs in areas such as civil, mechanical, electrical, computer, and systems engineering, as well as computer science and information technology.
  • D. Ira A. Fulton Schools of Engineering
    The Ira A. Fulton Schools of Engineering is the comprehensive engineering college of Arizona State University, known for its large-scale, interdisciplinary programs and emphasis on innovation and research.
  • E. Shiley School of Engineering
    Shiley School of Engineering is the University of Portland’s engineering college, offering undergraduate and graduate programs in fields such as civil, mechanical, and electrical engineering.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa624285bc8190a763e99e548a3294 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683461ec8190b442054443c472b3 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad693c04bc8190acc3566472a773f7 completed March 8, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69ad69b46fe88190a4dc1568cabc69b6 completed March 8, 2026, 12:21 p.m.
Created at: March 4, 2026, 7:29 p.m.