Triple

T5344938
Position Surface form Disambiguated ID Type / Status
Subject NHS Vesting Day E124031 entity
Predicate fundingModelIntroduced P59 FINISHED
Object general taxation funding for healthcare services LITERAL 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: general taxation funding for healthcare services | Statement: [NHS Vesting Day, fundingModelIntroduced, general taxation funding for healthcare services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fundingModelIntroduced
Context triple: [NHS Vesting Day, fundingModelIntroduced, general taxation funding for healthcare services]
  • A. fundingModel chosen
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • B. introducedForModel
    Indicates that one entity was created, proposed, or brought into use specifically for application within a particular model.
  • C. fundingPeriod
    Indicates the time span or duration for which funding is allocated, active, or valid within a financial or grant-related relationship.
  • D. fundingPolicy
    Indicates the rules or guidelines governing how financial resources are allocated, distributed, or managed within a given context.
  • E. introducedAsModel
    Indicates that one entity is presented or identified to others in the role or capacity of a model.
  • F. None of above.

Provenance (3 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ea5e748190a9943de794e5c1ec completed March 20, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69bd845a62b081909782863865b257a9 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.