Triple

T8999291
Position Surface form Disambiguated ID Type / Status
Subject Medical Practitioners Tribunal Service E215000 entity
Predicate abbreviation P43 FINISHED
Object MPTS
MPTS is the independent body in the UK responsible for overseeing fitness-to-practise hearings and decisions for doctors registered with the General Medical Council.
 E772153 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: MPTS | Statement: [Medical Practitioners Tribunal Service, abbreviation, MPTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MPTS
Context triple: [Medical Practitioners Tribunal Service, abbreviation, MPTS]
  • A. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • B. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • C. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • D. MPS
    MPS is a language workbench and integrated development environment by JetBrains designed for creating and working with domain-specific languages using projectional editing.
  • E. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • 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: MPTS
Triple: [Medical Practitioners Tribunal Service, abbreviation, MPTS]
Generated description
MPTS is the independent body in the UK responsible for overseeing fitness-to-practise hearings and decisions for doctors registered with the General Medical Council.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MPTS
Target entity description: MPTS is the independent body in the UK responsible for overseeing fitness-to-practise hearings and decisions for doctors registered with the General Medical Council.
  • A. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • B. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • C. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • D. MPS
    MPS is a language workbench and integrated development environment by JetBrains designed for creating and working with domain-specific languages using projectional editing.
  • E. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68e3b1f48190bbeafbce363fff53 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d987dc81908f1d74f390f18a9c completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd1a32a64819090d423a99ab75362 completed April 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69cfd250593881908312200ba7bba617 completed April 3, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:05 p.m.