Triple

T23599193
Position Surface form Disambiguated ID Type / Status
Subject Spanish National Health System E582701 entity
Predicate hasSubSystem P25619 FINISHED
Object regional health services of autonomous communities 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: regional health services of autonomous communities | Statement: [Spanish National Health System, hasSubSystem, regional health services of autonomous communities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubSystem
Context triple: [Spanish National Health System, hasSubSystem, regional health services of autonomous communities]
  • A. hasSisterSubsystem
    Indicates that one subsystem is related to another as a sister subsystem, meaning they share a common parent system or hierarchical level.
  • B. hasSubService
    Indicates that one service includes or is composed of another, more specific service as a subordinate or component part.
  • C. hasSubcomponent chosen
    Indicates that one entity is a constituent part or component of another, larger entity.
  • D. hasSubProcess
    Indicates that one process is composed of or includes another process as a subordinate or component step.
  • E. hasSubconfiguration
    Indicates that an entity includes another entity as a subordinate or component configuration within its overall structure.
  • 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_69e248f9e0a08190814772847003b1ff completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b0929c548190bb42621d1131d87f completed April 29, 2026, 7:17 a.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:43 p.m.