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.