Triple

T14099914

Position	Surface form	Disambiguated ID	Type / Status
Subject	University of Engineering and Technology, Lahore	`E339350`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	Faculty of Civil Engineering The Faculty of Civil Engineering is an academic division specializing in civil and infrastructure engineering education and research at the University of Engineering and Technology, Lahore.	`E1080108`	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: Faculty of Civil Engineering | Statement: [University of Engineering and Technology, Lahore, hasFaculty, Faculty of Civil Engineering]

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

Target entity: Faculty of Civil Engineering
Context triple: [University of Engineering and Technology, Lahore, hasFaculty, Faculty of Civil Engineering]

A. Faculty of Civil Engineering
The Faculty of Civil Engineering is a major academic unit of the Slovak University of Technology in Bratislava specializing in education and research in civil and structural engineering and related fields.
B. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic division of the Dresden University of Technology dedicated to education and research in civil and structural engineering and related infrastructure fields.
C. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic division of Rajshahi University of Engineering & Technology specializing in education and research in civil and structural engineering disciplines.
D. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic unit of the Silesian University of Technology specializing in education and research in civil and structural engineering and related infrastructure fields.
E. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic division of the University of Transport and Communications specializing in education and research related to the planning, design, construction, and maintenance of civil infrastructure.
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: Faculty of Civil Engineering
Triple: [University of Engineering and Technology, Lahore, hasFaculty, Faculty of Civil Engineering]

Generated description

The Faculty of Civil Engineering is an academic division specializing in civil and infrastructure engineering education and research at the University of Engineering and Technology, Lahore.

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

Target entity: Faculty of Civil Engineering
Target entity description: The Faculty of Civil Engineering is an academic division specializing in civil and infrastructure engineering education and research at the University of Engineering and Technology, Lahore.

A. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic division of the University of Transport and Communications specializing in education and research related to the planning, design, construction, and maintenance of civil infrastructure.
B. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic division of Chittagong University of Engineering and Technology specializing in education and research related to civil and structural engineering.
C. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic division of the Bangladesh University of Engineering and Technology specializing in education and research on the planning, design, construction, and maintenance of infrastructure and the built environment.
D. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic division of Rajshahi University of Engineering & Technology specializing in education and research in civil and structural engineering disciplines.
E. Faculty of Civil Engineering
The Faculty of Civil Engineering is an academic unit of the Silesian University of Technology specializing in 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_69d81c69b5c8819094aa1abf18302908`	completed	April 9, 2026, 9:38 p.m.
NER	Named-entity recognition	`batch_69de5fba7c10819095b1299b7b4f0310`	completed	April 14, 2026, 3:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69fcd0b108908190b4b408f21ecb877a`	completed	May 7, 2026, 5:49 p.m.
NEDg	Description generation	`batch_69fcd5533dc88190b0ca6c0d7d47d84e`	completed	May 7, 2026, 6:09 p.m.
NED2	Entity disambiguation (via description)	`batch_69fcd61f06e881909c3c42b83f858471`	completed	May 7, 2026, 6:12 p.m.

Created at: April 9, 2026, 10:22 p.m.