Triple

T26391251
Position Surface form Disambiguated ID Type / Status
Subject Oxford University Medical School E663416 entity
Predicate parentOrganization P254 FINISHED
Object Medical Sciences Division, University of Oxford
The Medical Sciences Division at the University of Oxford is the university’s hub for biomedical and clinical teaching and research, encompassing its medical school and a wide range of related departments and institutes.
 E1721768 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: Medical Sciences Division, University of Oxford | Statement: [Oxford University Medical School, parentOrganization, Medical Sciences Division, University of Oxford]
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: Medical Sciences Division, University of Oxford
Triple: [Oxford University Medical School, parentOrganization, Medical Sciences Division, University of Oxford]
Generated description
The Medical Sciences Division at the University of Oxford is the university’s hub for biomedical and clinical teaching and research, encompassing its medical school and a wide range of related departments and institutes.

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_69ee883823988190b418b111be28a44a completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610bf1e248190a186aed862513478 completed May 2, 2026, 2:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a80c5988190821e0a8c92addbdc completed May 23, 2026, 12:16 p.m.
NEDg Description generation batch_6a119bbc54dc81908eac09f455b4c32a completed May 23, 2026, 12:21 p.m.
NED2 Entity disambiguation (via description) batch_6a119c8b70c081908712fdefe5c7a147 completed May 23, 2026, 12:24 p.m.
Created at: April 26, 2026, 11:26 p.m.