Triple

T24509512

Position	Surface form	Disambiguated ID	Type / Status
Subject	Roger Guindon Hall	`E606175`	entity
Predicate	primaryFacultyHoused	`P112902`	FINISHED
Object	Faculty of Medicine The Faculty of Medicine is an academic division of a university dedicated to medical education, clinical training, and biomedical research.	`E541575`	NE FINISHED

How this triple was built (3 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 Medicine | Statement: [Roger Guindon Hall, primaryFacultyHoused, Faculty of Medicine]

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 Medicine
Triple: [Roger Guindon Hall, primaryFacultyHoused, Faculty of Medicine]

Generated description

The Faculty of Medicine is an academic division of a university dedicated to medical education, clinical training, and biomedical research.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: primaryFacultyHoused
Context triple: [Roger Guindon Hall, primaryFacultyHoused, Faculty of Medicine]

A. locatedInFaculty
Indicates that an entity (such as a department, office, or program) is situated within or belongs administratively to a specific faculty.
B. primaryAcademicDivisionOf chosen
Indicates that one entity serves as the main academic division or faculty to which another entity (such as a program, department, or course) is organizationally assigned.
C. hasFacultyIn
Indicates that an institution or organization has faculty members associated with or working in a particular department, field, or academic unit.
D. isLargestFacultyOf
Indicates that one faculty is the largest (typically by size, number of members, or resources) among all faculties within a given institution or context.
E. hasFacultyOrSchool
Indicates that an institution or organization includes, is composed of, or is associated with a particular faculty or school as one of its academic subdivisions.
F. None of above.

Provenance (6 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_69e2c4c725148190a4e41577c5cb409c`	completed	April 17, 2026, 11:39 p.m.
NER	Named-entity recognition	`batch_69f2a9d912e88190bc39c05a9d7f407e`	completed	April 30, 2026, 1:01 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fee8da8cc8190a05b6350e77f2e40`	completed	May 22, 2026, 5:50 a.m.
NEDg	Description generation	`batch_6a0fef537a8c8190ac04651a1b03602b`	completed	May 22, 2026, 5:53 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0ff00803b481908e7315142e3eb396`	completed	May 22, 2026, 5:56 a.m.
PD	Predicate disambiguation	`batch_69f2a6a4580481908fddc385f5262f95`	completed	April 30, 2026, 12:47 a.m.

Created at: April 18, 2026, 2:23 a.m.