Triple
T11268999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Electrical Engineering, University of Engineering and Technology Peshawar |
E266761
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | University of Engineering and Technology Peshawar |
E53259
|
NE FINISHED |
How this triple was built (2 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: University of Engineering and Technology Peshawar | Statement: [Department of Electrical Engineering, University of Engineering and Technology Peshawar, partOf, University of Engineering and Technology Peshawar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Engineering and Technology Peshawar Context triple: [Department of Electrical Engineering, University of Engineering and Technology Peshawar, partOf, University of Engineering and Technology Peshawar]
-
A.
University of Engineering and Technology Peshawar
chosen
The University of Engineering and Technology Peshawar is a leading public engineering and technology university in Pakistan, renowned for its programs in engineering, computer science, and related disciplines.
-
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.
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.
-
D.
University of Science and Technology Bannu
The University of Science and Technology Bannu is a public higher education institution in Bannu, Khyber Pakhtunkhwa, Pakistan, offering undergraduate and postgraduate programs with a focus on science and technology.
-
E.
University of Balochistan
The University of Balochistan is a public higher education and research institution serving as the principal university of Pakistan’s Balochistan province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542c5fdb88190968831279eaeea49 |
completed | April 19, 2026, 9:01 p.m. |
Created at: April 8, 2026, 9:31 p.m.