Triple
T20065634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohsen Rezaee |
E499598
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object |
Iran University of Science and Technology
Iran University of Science and Technology is a leading public research university in Tehran, Iran, renowned for its engineering and technological programs.
|
E1411144
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iran University of Science and Technology Context triple: [Mohsen Rezaee, educatedAt, Iran University of Science and Technology]
-
A.
Sharif University of Technology
Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
-
B.
Amirkabir University of Technology
Amirkabir University of Technology is one of Iran’s leading and oldest engineering and technical universities, renowned for its strong research output and rigorous academic programs.
-
C.
Shiraz University
Shiraz University is a major public research university and one of the leading higher education institutions in southern Iran.
-
D.
University of Isfahan
The University of Isfahan is a major public research university in Isfahan, Iran, known for its broad range of academic programs and role in educating prominent Iranian figures.
-
E.
University of Tehran
The University of Tehran is Iran’s oldest and most prestigious public university, widely regarded as the country’s leading center for higher education and research.
- 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: Iran University of Science and Technology Triple: [Mohsen Rezaee, educatedAt, Iran University of Science and Technology]
Generated description
Iran University of Science and Technology is a leading public research university in Tehran, Iran, renowned for its engineering and technological programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iran University of Science and Technology Target entity description: Iran University of Science and Technology is a leading public research university in Tehran, Iran, renowned for its engineering and technological programs.
-
A.
Sharif University of Technology
Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
-
B.
Amirkabir University of Technology
Amirkabir University of Technology is one of Iran’s leading and oldest engineering and technical universities, renowned for its strong research output and rigorous academic programs.
-
C.
Shiraz University
Shiraz University is a major public research university and one of the leading higher education institutions in southern Iran.
-
D.
University of Isfahan
The University of Isfahan is a major public research university in Isfahan, Iran, known for its broad range of academic programs and role in educating prominent Iranian figures.
-
E.
University of Tehran
The University of Tehran is Iran’s oldest and most prestigious public university, widely regarded as the country’s leading center for higher education and research.
- F. None of above. chosen
Provenance (4 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08270032a08190af7547d8dfd8b0ee |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a08278ca40c8190930bf43e45472ea0 |
completed | May 16, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0827b8ce248190ac3b689b8b12879f |
completed | May 16, 2026, 8:15 a.m. |
Created at: April 11, 2026, 3:39 p.m.