Triple

T34052988

Position	Surface form	Disambiguated ID	Type / Status
Subject	professional schools of the University at Buffalo	`E873273`	entity
Predicate	primaryCampusForHealthPrograms	`P27452`	FINISHED
Object	Downtown Campus Downtown Campus is the University at Buffalo’s urban center that houses most of its health-related professional schools and clinical education facilities.	`E249467`	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: Downtown Campus | Statement: [professional schools of the University at Buffalo, primaryCampusForHealthPrograms, Downtown Campus]

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: Downtown Campus
Triple: [professional schools of the University at Buffalo, primaryCampusForHealthPrograms, Downtown Campus]

Generated description

Downtown Campus is the University at Buffalo’s urban center that houses most of its health-related professional schools and clinical education facilities.

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

Target predicate: primaryCampusForHealthPrograms
Context triple: [professional schools of the University at Buffalo, primaryCampusForHealthPrograms, Downtown Campus]

A. hasClinicalCampus
Indicates that one institution serves as a clinical training campus or site for another institution, typically for educational or healthcare-related activities.
B. servesAcademicProgramsIn
Indicates that an institution or service provides academic support, resources, or offerings to the specified academic programs.
C. otherMainCampus chosen
Indicates that an institution has an additional primary campus distinct from its main campus.
D. cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or institution.
E. stateCampus
Indicates that a campus is part of, located within, or administered by a particular state.
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_69f349a3ec2c8190b62da76e54231a0f`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_6a037c8ae0248190b7e2ce4bf852c22d`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36ae45b91481908fd5434447c0f16d`	completed	June 20, 2026, 3:14 p.m.
NEDg	Description generation	`batch_6a36aebf5cd881909068286da30670c2`	completed	June 20, 2026, 3:16 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36af3428dc8190aedbfd793f6ddf7c`	completed	June 20, 2026, 3:18 p.m.
PD	Predicate disambiguation	`batch_6a0379f963908190846d232f386fd98f`	completed	May 12, 2026, 7:05 p.m.

Created at: May 1, 2026, 1:52 a.m.