Triple

T24631548

Position	Surface form	Disambiguated ID	Type / Status
Subject	Royal College of Obstetricians and Gynaecologists	`E609688`	entity
Predicate	qualificationAbbreviation	`P156841`	FINISHED
Object	MRCOG MRCOG is a professional postgraduate qualification in obstetrics and gynaecology awarded by the Royal College of Obstetricians and Gynaecologists to certify specialist expertise in the field.	`E609688`	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: MRCOG | Statement: [Royal College of Obstetricians and Gynaecologists, qualificationAbbreviation, MRCOG]

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: MRCOG
Triple: [Royal College of Obstetricians and Gynaecologists, qualificationAbbreviation, MRCOG]

Generated description

MRCOG is a professional postgraduate qualification in obstetrics and gynaecology awarded by the Royal College of Obstetricians and Gynaecologists to certify specialist expertise in the field.

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

Target predicate: qualificationAbbreviation
Context triple: [Royal College of Obstetricians and Gynaecologists, qualificationAbbreviation, MRCOG]

A. athleticAssociationAbbreviation
Indicates the abbreviated form of the name of an athletic association with which an entity is affiliated.
B. rankAbbreviation
Indicates that one term is an abbreviated form of a rank or title corresponding to another term.
C. primaryConferenceAbbrev
Indicates the abbreviated name of the main conference with which an entity (such as a team or school) is primarily affiliated.
D. abbreviationOfTopDivision
Indicates that one entity is an abbreviated or shortened form of the name of the top-level division or tier represented by another entity.
E. authorityAbbreviationFor
Indicates that one entity is an official abbreviated form or short designation used by an authority for another entity.
F. None of above. chosen

Provenance (7 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_69e2c4d1d3708190a0f2dc6a3a8523bb`	completed	April 17, 2026, 11:40 p.m.
NER	Named-entity recognition	`batch_69f2be064ff88190b5d9e5ec75a41242`	completed	April 30, 2026, 2:27 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a100489a6408190b544f96761c4d1f2`	completed	May 22, 2026, 7:23 a.m.
NEDg	Description generation	`batch_6a10096a949c8190a5367eb6d2fd2c4f`	completed	May 22, 2026, 7:44 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1009d311b08190acf35a3ed552b9c1`	completed	May 22, 2026, 7:46 a.m.
PD	Predicate disambiguation	`batch_69f2a6d0ab708190b2e3b94dd20ca76b`	completed	April 30, 2026, 12:48 a.m.
PDg	Predicate description generation	`batch_69f2b8b8bc5881908df49c0b07110246`	completed	April 30, 2026, 2:04 a.m.

Created at: April 18, 2026, 2:32 a.m.