Triple
T1675634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharif University of Technology |
E36224
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Department of Civil Engineering
The Department of Civil Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research across structural, geotechnical, transportation, and environmental engineering disciplines.
|
E189599
|
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: Department of Civil Engineering | Statement: [Sharif University of Technology, hasFaculty, Department of Civil Engineering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Civil Engineering Context triple: [Sharif University of Technology, hasFaculty, Department of Civil Engineering]
-
A.
Department of Civil Engineering
The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
-
B.
Department of Civil Engineering
The Department of Civil Engineering at the University of Tokyo is a leading academic and research unit focused on infrastructure, environmental systems, and urban and regional development.
-
C.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
-
D.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
-
E.
School of Civil Engineering
The School of Civil Engineering is a specialized faculty within the Polytechnic University of Madrid dedicated to education and research in civil and structural engineering and related infrastructure fields.
- 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: Department of Civil Engineering Triple: [Sharif University of Technology, hasFaculty, Department of Civil Engineering]
Generated description
The Department of Civil Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research across structural, geotechnical, transportation, and environmental engineering disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Civil Engineering Target entity description: The Department of Civil Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in education and research across structural, geotechnical, transportation, and environmental engineering disciplines.
-
A.
Department of Civil Engineering
The Department of Civil Engineering at McGill University is an academic unit that offers education and conducts research in areas such as structural, environmental, geotechnical, and transportation engineering.
-
B.
Department of Civil Engineering
The Department of Civil Engineering at the University of Tokyo is a leading academic and research unit focused on infrastructure, environmental systems, and urban and regional development.
-
C.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit specializing in infrastructure, environmental systems, and related engineering disciplines within the Grainger College of Engineering at the University of Illinois Urbana-Champaign.
-
D.
Department of Civil and Environmental Engineering
The Department of Civil and Environmental Engineering is an academic unit at Rice University's George R. Brown School of Engineering that focuses on education and research in infrastructure, environmental systems, and sustainable engineering.
-
E.
School of Civil Engineering
The School of Civil Engineering is a specialized faculty within the Polytechnic University of Madrid dedicated to education and research in civil and structural engineering and related infrastructure fields.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625cb1a08190bf7b138c5bfb90b2 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71b5729c8190b410893d62bedb13 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad728cb27c8190802b30afc5e259e2 |
completed | March 8, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad72fa21208190b596bfdfc69043bd |
completed | March 8, 2026, 1 p.m. |
Created at: March 4, 2026, 7:29 p.m.