Triple

T11398534

Position	Surface form	Disambiguated ID	Type / Status
Subject	Institute of Biosciences, University of São Paulo	`E270042`	entity
Predicate	hasDivision	`P35`	FINISHED
Object	Department of Physiology, Institute of Biosciences, University of São Paulo The Department of Physiology at the Institute of Biosciences, University of São Paulo is an academic and research unit dedicated to advancing the understanding of biological functions in organisms through teaching and scientific investigation.	`E923650`	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 Physiology, Institute of Biosciences, University of São Paulo | Statement: [Institute of Biosciences, University of São Paulo, hasDivision, Department of Physiology, Institute of Biosciences, University of São Paulo]

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

Target entity: Department of Physiology, Institute of Biosciences, University of São Paulo
Context triple: [Institute of Biosciences, University of São Paulo, hasDivision, Department of Physiology, Institute of Biosciences, University of São Paulo]

A. Department of Physiology
The Department of Physiology is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and researching the functions and mechanisms of the human body.
B. Department of Physiology
The Department of Physiology is an academic unit within the College of Medicine that focuses on teaching and researching the functions and mechanisms of living systems, particularly in relation to human health and disease.
C. Department of Physiology
The Department of Physiology is an academic unit within Tohoku University's Faculty of Medicine that conducts research and education on the functions and mechanisms of living organisms and their systems.
D. Department of Physiology
The Department of Physiology is an academic and research unit at the Mahatma Gandhi Institute of Medical Sciences that focuses on teaching and investigating the functions and mechanisms of the human body.
E. Department of Physiology
The Department of Physiology at McGill University's Faculty of Medicine and Health Sciences is an academic unit dedicated to research and education on the functions and mechanisms of living systems at molecular, cellular, and systemic levels.
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 Physiology, Institute of Biosciences, University of São Paulo
Triple: [Institute of Biosciences, University of São Paulo, hasDivision, Department of Physiology, Institute of Biosciences, University of São Paulo]

Generated description

The Department of Physiology at the Institute of Biosciences, University of São Paulo is an academic and research unit dedicated to advancing the understanding of biological functions in organisms through teaching and scientific investigation.

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

Target entity: Department of Physiology, Institute of Biosciences, University of São Paulo
Target entity description: The Department of Physiology at the Institute of Biosciences, University of São Paulo is an academic and research unit dedicated to advancing the understanding of biological functions in organisms through teaching and scientific investigation.

A. Department of Physiology
The Department of Physiology is an academic unit within Cairo University's Faculty of Medicine that focuses on teaching and researching the functions and mechanisms of the human body.
B. Department of Physiology
The Department of Physiology is an academic unit within the College of Medicine that focuses on teaching and researching the functions and mechanisms of living systems, particularly in relation to human health and disease.
C. Department of Physiology
The Department of Physiology is an academic unit within Tohoku University's Faculty of Medicine that conducts research and education on the functions and mechanisms of living organisms and their systems.
D. Department of Physiology
The Department of Physiology is an academic and research unit at the Mahatma Gandhi Institute of Medical Sciences that focuses on teaching and investigating the functions and mechanisms of the human body.
E. Department of Physiology
The Department of Physiology at McGill University's Faculty of Medicine and Health Sciences is an academic unit dedicated to research and education on the functions and mechanisms of living systems at molecular, cellular, and systemic levels.
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_69d6aacdbc6c8190af6dc3d5f5d22836`	completed	April 8, 2026, 7:21 p.m.
NER	Named-entity recognition	`batch_69d8001adc188190ae45227856156412`	completed	April 9, 2026, 7:38 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69e58cf75ec08190a571e5178bcde274`	completed	April 20, 2026, 2:18 a.m.
NEDg	Description generation	`batch_69e59774e6648190a38b2515a83c2e0c`	completed	April 20, 2026, 3:03 a.m.
NED2	Entity disambiguation (via description)	`batch_69e5a3abf24481908fb71f4ef6b13532`	completed	April 20, 2026, 3:55 a.m.

Created at: April 8, 2026, 9:34 p.m.