Triple

T8047659

Position	Surface form	Disambiguated ID	Type / Status
Subject	School of Mining Engineering, University of Tehran	`E187594`	entity
Predicate	locatedIn	`P40`	FINISHED
Object	University of Tehran, College of Engineering The University of Tehran, College of Engineering is a leading Iranian engineering faculty that houses multiple specialized schools and programs in various engineering disciplines.	`E720145`	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: University of Tehran, College of Engineering | Statement: [School of Mining Engineering, University of Tehran, locatedIn, University of Tehran, College of Engineering]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: University of Tehran, College of Engineering
Context triple: [School of Mining Engineering, University of Tehran, locatedIn, University of Tehran, College of Engineering]

A. Faculty of Engineering, Sharif University of Technology
The Faculty of Engineering at Sharif University of Technology is a leading Iranian engineering school comprising multiple specialized departments and renowned for its strong research and academic programs in science and technology.
B. 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.
C. 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.
D. College of Energy Engineering, Sharif University of Technology
The College of Energy Engineering at Sharif University of Technology is an academic division specializing in energy-related disciplines, including nuclear engineering, within one of Iran’s leading technical universities.
E. School of Mechanical Engineering, Sharif University of Technology
The School of Mechanical Engineering at Sharif University of Technology is a leading Iranian academic and research center specializing in mechanical and related engineering disciplines, known for its rigorous programs and significant contributions to science and industry.
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: University of Tehran, College of Engineering
Triple: [School of Mining Engineering, University of Tehran, locatedIn, University of Tehran, College of Engineering]

Generated description

The University of Tehran, College of Engineering is a leading Iranian engineering faculty that houses multiple specialized schools and programs in various engineering disciplines.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: University of Tehran, College of Engineering
Target entity description: The University of Tehran, College of Engineering is a leading Iranian engineering faculty that houses multiple specialized schools and programs in various engineering disciplines.

A. Faculty of Engineering, Sharif University of Technology
The Faculty of Engineering at Sharif University of Technology is a leading Iranian engineering school comprising multiple specialized departments and renowned for its strong research and academic programs in science and technology.
B. 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.
C. 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.
D. College of Energy Engineering, Sharif University of Technology
The College of Energy Engineering at Sharif University of Technology is an academic division specializing in energy-related disciplines, including nuclear engineering, within one of Iran’s leading technical universities.
E. School of Mechanical Engineering, Sharif University of Technology
The School of Mechanical Engineering at Sharif University of Technology is a leading Iranian academic and research center specializing in mechanical and related engineering disciplines, known for its rigorous programs and significant contributions to science and industry.
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_69ca82b15e948190a62fd7af5218426a`	completed	March 30, 2026, 2:03 p.m.
NER	Named-entity recognition	`batch_69cb3f4f0bf88190b8a706186118c977`	completed	March 31, 2026, 3:28 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cd340abffc8190bbc17aa9b775a9cb`	completed	April 1, 2026, 3:04 p.m.
NEDg	Description generation	`batch_69cd36ecc1d88190a978f1d51b0e1382`	completed	April 1, 2026, 3:17 p.m.
NED2	Entity disambiguation (via description)	`batch_69cd4e7822e48190bb573162f224bd8c`	completed	April 1, 2026, 4:57 p.m.

Created at: March 30, 2026, 5:24 p.m.