Triple

T7571304
Position Surface form Disambiguated ID Type / Status
Subject Lahore University of Management Sciences E179245 entity
Predicate hasAcademicUnit P1488 FINISHED
Object Syed Babar Ali School of Science and Engineering
Syed Babar Ali School of Science and Engineering is a leading science and engineering school at Lahore University of Management Sciences, known for its rigorous research-focused programs and interdisciplinary STEM education.
E673691 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: Syed Babar Ali School of Science and Engineering | Statement: [Lahore University of Management Sciences, hasAcademicUnit, Syed Babar Ali School of Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syed Babar Ali School of Science and Engineering
Context triple: [Lahore University of Management Sciences, hasAcademicUnit, Syed Babar Ali School of Science and Engineering]
  • A. National University of Science and Technology (NUST)
    The National University of Science and Technology (NUST) is a leading Zimbabwean public university renowned for its focus on science, technology, engineering, and innovation.
  • B. University of Engineering and Technology, Lahore
    The University of Engineering and Technology, Lahore is one of Pakistan’s oldest and most prestigious public engineering universities, renowned for its rigorous programs in engineering, technology, and applied sciences.
  • C. Balochistan University of Information Technology, Engineering and Management Sciences
    Balochistan University of Information Technology, Engineering and Management Sciences is a public research university in Pakistan specializing in information technology, engineering, and management education.
  • D. IBA University Sukkur
    IBA University Sukkur is a public sector higher education institution in Pakistan known for its business, management, and engineering programs and its focus on merit-based admissions and quality education.
  • E. Sindh University Engineering College
    Sindh University Engineering College was the original engineering institution that later evolved into Mehran University of Engineering and Technology, a major public engineering university in Pakistan.
  • 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: Syed Babar Ali School of Science and Engineering
Triple: [Lahore University of Management Sciences, hasAcademicUnit, Syed Babar Ali School of Science and Engineering]
Generated description
Syed Babar Ali School of Science and Engineering is a leading science and engineering school at Lahore University of Management Sciences, known for its rigorous research-focused programs and interdisciplinary STEM education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Syed Babar Ali School of Science and Engineering
Target entity description: Syed Babar Ali School of Science and Engineering is a leading science and engineering school at Lahore University of Management Sciences, known for its rigorous research-focused programs and interdisciplinary STEM education.
  • A. National University of Science and Technology (NUST)
    The National University of Science and Technology (NUST) is a leading Zimbabwean public university renowned for its focus on science, technology, engineering, and innovation.
  • B. University of Engineering and Technology, Lahore
    The University of Engineering and Technology, Lahore is one of Pakistan’s oldest and most prestigious public engineering universities, renowned for its rigorous programs in engineering, technology, and applied sciences.
  • C. Balochistan University of Information Technology, Engineering and Management Sciences
    Balochistan University of Information Technology, Engineering and Management Sciences is a public research university in Pakistan specializing in information technology, engineering, and management education.
  • D. IBA University Sukkur
    IBA University Sukkur is a public sector higher education institution in Pakistan known for its business, management, and engineering programs and its focus on merit-based admissions and quality education.
  • E. Sindh University Engineering College
    Sindh University Engineering College was the original engineering institution that later evolved into Mehran University of Engineering and Technology, a major public engineering university in Pakistan.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f921b458819092e565a4d099bbaf completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856e7c5b48190b6f53f8d14ea753d completed March 28, 2026, 10:32 p.m.
NEDg Description generation batch_69c858aea4fc81908be95d0d4e3f1072 completed March 28, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69c85919f85081908558f8e8d4b9d057 completed March 28, 2026, 10:41 p.m.
Created at: March 27, 2026, 3:51 p.m.