Triple

T15249418
Position Surface form Disambiguated ID Type / Status
Subject Brighton and Sussex Medical School E364476 entity
Predicate abbreviation P43 FINISHED
Object BSMS
BSMS is a UK medical school formed as a partnership between the University of Brighton and the University of Sussex, offering undergraduate and postgraduate medical education and research.
 E1144927 NE FINISHED

How this triple was built (4 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: BSMS | Statement: [Brighton and Sussex Medical School, abbreviation, BSMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSMS
Context triple: [Brighton and Sussex Medical School, abbreviation, BSMS]
  • A. BSMF
    BSMF is an abbreviation for the Beale Street Music Festival, a major annual multi-genre music event held in Memphis, Tennessee.
  • B. BS
    BS is the vehicle registration code used on license plates for the Swiss canton of Basel-Stadt.
  • C. BS
    BS is the official vehicle registration code used on license plates for the German city of Braunschweig.
  • D. BS
    BS is the two-letter ISO 3166 country code representing the Commonwealth of The Bahamas.
  • E. BS
    BS is a postcode area in southwest England that primarily covers Bristol and surrounding regions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: BSMS
Triple: [Brighton and Sussex Medical School, abbreviation, BSMS]
Generated description
BSMS is a UK medical school formed as a partnership between the University of Brighton and the University of Sussex, offering undergraduate and postgraduate medical education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSMS
Target entity description: BSMS is a UK medical school formed as a partnership between the University of Brighton and the University of Sussex, offering undergraduate and postgraduate medical education and research.
  • A. BSMF
    BSMF is an abbreviation for the Beale Street Music Festival, a major annual multi-genre music event held in Memphis, Tennessee.
  • B. BS
    BS is the vehicle registration code used on license plates for the Swiss canton of Basel-Stadt.
  • C. BS
    BS is the official vehicle registration code used on license plates for the German city of Braunschweig.
  • D. BS
    BS is the two-letter ISO 3166 country code representing the Commonwealth of The Bahamas.
  • E. BS
    BS is a postcode area in southwest England that primarily covers Bristol and surrounding regions.
  • F. None of above. chosen

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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f62b9c8190b9ad40e2d1912b63 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd4ac4e48190b011b34cb5205b68 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedeb0c4cc81908529ae29f8080ef2 completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedfa514808190b4a50e87833c5f69 completed May 9, 2026, 7:17 a.m.
Created at: April 10, 2026, 3:13 a.m.