Triple

T32056068

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Dental Surgery of the Royal College of Surgeons of Edinburgh	`E818620`	entity
Predicate	associatedWithQualification	`P149018`	FINISHED
Object	Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh is a postgraduate dental qualification that certifies a foundational level of clinical competence and knowledge for dentists early in their careers.	`E818620`	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: Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh | Statement: [Faculty of Dental Surgery of the Royal College of Surgeons of Edinburgh, associatedWithQualification, Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh]

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: Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh
Triple: [Faculty of Dental Surgery of the Royal College of Surgeons of Edinburgh, associatedWithQualification, Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh]

Generated description

Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh is a postgraduate dental qualification that certifies a foundational level of clinical competence and knowledge for dentists early in their careers.

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

Target predicate: associatedWithQualification
Context triple: [Faculty of Dental Surgery of the Royal College of Surgeons of Edinburgh, associatedWithQualification, Membership in Dental Surgery (MFDS) of the Royal College of Surgeons of Edinburgh]

A. associatedQualification chosen
Indicates a relationship where a qualification is linked or connected to an entity, such as a person, role, or position, as a relevant credential.
B. providedQualificationFor
Indicates that one entity supplied or granted a qualification, credential, or certification that another entity possesses or uses.
C. hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
D. associatedWithQuality
Indicates that an entity is linked to, characterized by, or possesses a particular quality or attribute.
E. determinedQualificationFor
Indicates that one entity has assessed and established another entity’s eligibility or suitability for a specific role, status, or requirement.
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_69f348fdacec8190b9f74375ca3b2094`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_6a037c894b488190bcbec2eccaff4a01`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2ed505ecf48190bfc21241ef000636`	completed	June 14, 2026, 4:21 p.m.
NEDg	Description generation	`batch_6a2ed5feab3481909fda36f8ced29749`	completed	June 14, 2026, 4:25 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2ed800b70c8190a2776741e12710b9`	completed	June 14, 2026, 4:34 p.m.
PD	Predicate disambiguation	`batch_6a0379eaa540819095a1c5d9f3513f9b`	completed	May 12, 2026, 7:05 p.m.

Created at: May 1, 2026, 12:21 a.m.