Triple

T30356468
Position Surface form Disambiguated ID Type / Status
Subject Primary Care Trusts in the NHS in England and Wales E772154 entity
Predicate successorInWales P197233 FINISHED
Object Local Health Boards
Local Health Boards are regional NHS organizations in Wales responsible for planning, securing, and delivering healthcare services for their local populations.
 E1911064 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: Local Health Boards | Statement: [Primary Care Trusts in the NHS in England and Wales, successorInWales, Local Health Boards]
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: Local Health Boards
Triple: [Primary Care Trusts in the NHS in England and Wales, successorInWales, Local Health Boards]
Generated description
Local Health Boards are regional NHS organizations in Wales responsible for planning, securing, and delivering healthcare services for their local populations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: successorInWales
Context triple: [Primary Care Trusts in the NHS in England and Wales, successorInWales, Local Health Boards]
  • A. successorAsPrinceOfWales
    Indicates that one person becomes the next holder of the title "Prince of Wales" after another person.
  • B. successorInScotland
    Indicates that one entity is the next holder of a role, title, or position in Scotland following another entity.
  • C. successorAsDukeOfKentAndStrathearn
    Indicates that one entity became the next holder of the title "Duke of Kent and Strathearn" after another entity.
  • D. successorInEngland
    Indicates that one entity directly follows another in a succession specific to England, such as in a royal, political, or official role.
  • E. successorAsDukeOfYork
    Indicates that one person became the next holder of the title Duke of York after another person.
  • 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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe7eb4b8348190bb19d35766189ed4 completed May 9, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a277c2ef82c8190836d4afc351ffe14 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277cab7a848190b3bb869bb2f794fa completed June 9, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_6a277d7238a481909b4eccfff1d10aa9 completed June 9, 2026, 2:41 a.m.
PD Predicate disambiguation batch_69fe7c35d2148190ab952e54feda1e76 completed May 9, 2026, 12:13 a.m.
PDg Predicate description generation batch_69fe7eb31b04819081be531fd9f8a78c completed May 9, 2026, 12:24 a.m.
Created at: April 29, 2026, 7:57 p.m.