Triple

T30392006

Position	Surface form	Disambiguated ID	Type / Status
Subject	Barts and The London Students’ Association	`E773110`	entity
Predicate	affiliatedWith	`P254`	FINISHED
Object	Barts and The London School of Medicine and Dentistry Barts and The London School of Medicine and Dentistry is a leading UK medical and dental school that forms part of Queen Mary University of London, known for its clinical teaching and research across several major London hospitals.	`E70968`	NE FINISHED

How this triple was built (2 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: Barts and The London School of Medicine and Dentistry | Statement: [Barts and The London Students’ Association, affiliatedWith, Barts and The London School of Medicine and Dentistry]

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: Barts and The London School of Medicine and Dentistry
Triple: [Barts and The London Students’ Association, affiliatedWith, Barts and The London School of Medicine and Dentistry]

Generated description

Barts and The London School of Medicine and Dentistry is a leading UK medical and dental school that forms part of Queen Mary University of London, known for its clinical teaching and research across several major London hospitals.

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_69f2248ef0a48190aa54d4d8ac3e5758`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f6859ceaa481908671a20b6cee0fca`	completed	May 2, 2026, 11:15 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2856e2676881909309b5c2054b4317`	completed	June 9, 2026, 6:09 p.m.
NEDg	Description generation	`batch_6a2858aa2db881908e4481230846edf5`	completed	June 9, 2026, 6:17 p.m.
NED2	Entity disambiguation (via description)	`batch_6a285954e3208190a8bb4f6b023e11fd`	completed	June 9, 2026, 6:20 p.m.

Created at: April 29, 2026, 8:02 p.m.