Triple

T12295885

Position	Surface form	Disambiguated ID	Type / Status
Subject	Universidad de San Martín de Porres	`E293084`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	Faculty of Administrative Sciences and Human Resources The Faculty of Administrative Sciences and Human Resources is an academic unit of the Universidad de San Martín de Porres in Peru that specializes in education and research in business administration, management, and human resource development.	`E975342`	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 Administrative Sciences and Human Resources | Statement: [Universidad de San Martín de Porres, hasFaculty, Faculty of Administrative Sciences and Human Resources]

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

Target entity: Faculty of Administrative Sciences and Human Resources
Context triple: [Universidad de San Martín de Porres, hasFaculty, Faculty of Administrative Sciences and Human Resources]

A. Faculty of Management and Administrative Sciences
The Faculty of Management and Administrative Sciences is an academic division of the University of Karachi that offers education and research programs in business, management, and administrative disciplines.
B. Faculty of Management and Administrative Sciences
The Faculty of Management and Administrative Sciences is an academic division of Kohat University of Science and Technology that offers education and research programs in business, management, and administrative disciplines.
C. Faculty of Administrative Science
The Faculty of Administrative Science is an academic unit of Universitas Brawijaya specializing in education and research in public, business, and governmental administration.
D. Faculty of Management and Administration
The Faculty of Management and Administration is an academic division of the University of National and World Economy specializing in education and research in management, public administration, and related organizational fields.
E. Faculty of Administration
The Faculty of Administration is the business and management academic unit of the Université de Moncton, offering programs in areas such as accounting, finance, marketing, and organizational management.
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 Administrative Sciences and Human Resources
Triple: [Universidad de San Martín de Porres, hasFaculty, Faculty of Administrative Sciences and Human Resources]

Generated description

The Faculty of Administrative Sciences and Human Resources is an academic unit of the Universidad de San Martín de Porres in Peru that specializes in education and research in business administration, management, and human resource development.

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

Target entity: Faculty of Administrative Sciences and Human Resources
Target entity description: The Faculty of Administrative Sciences and Human Resources is an academic unit of the Universidad de San Martín de Porres in Peru that specializes in education and research in business administration, management, and human resource development.

A. Faculty of Management and Administrative Sciences
The Faculty of Management and Administrative Sciences is an academic division of the University of Karachi that offers education and research programs in business, management, and administrative disciplines.
B. Faculty of Management and Administrative Sciences
The Faculty of Management and Administrative Sciences is an academic division of Kohat University of Science and Technology that offers education and research programs in business, management, and administrative disciplines.
C. Faculty of Administrative Science
The Faculty of Administrative Science is an academic unit of Universitas Brawijaya specializing in education and research in public, business, and governmental administration.
D. Faculty of Management and Administration
The Faculty of Management and Administration is an academic division of the University of National and World Economy specializing in education and research in management, public administration, and related organizational fields.
E. Faculty of Administration
The Faculty of Administration is the business and management academic unit of the Université de Moncton, offering programs in areas such as accounting, finance, marketing, and organizational management.
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_69d6ab690ad081908c0ed3870ec82d53`	completed	April 8, 2026, 7:24 p.m.
NER	Named-entity recognition	`batch_69d93ed903808190b7ed90e0db3d7586`	completed	April 10, 2026, 6:18 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69f61e79bf548190bf7f314222ed1ed1`	completed	May 2, 2026, 3:55 p.m.
NEDg	Description generation	`batch_69f62260d6708190808e52935a27e2c1`	completed	May 2, 2026, 4:12 p.m.
NED2	Entity disambiguation (via description)	`batch_69f6230f4c8081908a759efa43b4800b`	completed	May 2, 2026, 4:15 p.m.

Created at: April 8, 2026, 9:52 p.m.