Triple
T14365099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamshoro District |
E356209
|
entity |
| Predicate | hasUniversity |
P113
|
FINISHED |
| Object |
Mehran University of Engineering and Technology
Mehran University of Engineering and Technology is a prominent public engineering and technology university in Pakistan known for its strong programs in engineering, architecture, and related disciplines.
|
E1096896
|
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: Mehran University of Engineering and Technology | Statement: [Jamshoro District, hasUniversity, Mehran University of Engineering and Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehran University of Engineering and Technology Context triple: [Jamshoro District, hasUniversity, Mehran University of Engineering and Technology]
-
A.
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.
-
B.
Quaid-e-Awam University of Engineering, Science and Technology
Quaid-e-Awam University of Engineering, Science and Technology is a public engineering and science university located in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
-
C.
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology is a leading private engineering and technology university in Pakistan, renowned for its rigorous academics and strong focus on research and innovation.
-
D.
National University of Sciences and Technology (NUST)
The National University of Sciences and Technology (NUST) is a leading Pakistani public research university renowned for its programs in engineering, technology, and applied sciences, with strong ties to the country’s defense and industrial sectors.
-
E.
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.
- 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: Mehran University of Engineering and Technology Triple: [Jamshoro District, hasUniversity, Mehran University of Engineering and Technology]
Generated description
Mehran University of Engineering and Technology is a prominent public engineering and technology university in Pakistan known for its strong programs in engineering, architecture, and related disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mehran University of Engineering and Technology Target entity description: Mehran University of Engineering and Technology is a prominent public engineering and technology university in Pakistan known for its strong programs in engineering, architecture, and related disciplines.
-
A.
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.
-
B.
Quaid-e-Awam University of Engineering, Science and Technology
Quaid-e-Awam University of Engineering, Science and Technology is a public engineering and science university located in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
-
C.
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology is a leading private engineering and technology university in Pakistan, renowned for its rigorous academics and strong focus on research and innovation.
-
D.
National University of Sciences and Technology (NUST)
The National University of Sciences and Technology (NUST) is a leading Pakistani public research university renowned for its programs in engineering, technology, and applied sciences, with strong ties to the country’s defense and industrial sectors.
-
E.
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.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550e677c8190837c3b9ccb64f0cd |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5637a46881908f3a4b26cc2159ca |
completed | May 8, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd56ae779c81908e09866913df3e3e |
completed | May 8, 2026, 3:21 a.m. |
Created at: April 10, 2026, 1:15 a.m.