Triple

T9195346
Position Surface form Disambiguated ID Type / Status
Subject Republika Srpska E220690 entity
Predicate hasOwnHealthSystem P86941 FINISHED
Object yes 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: yes | Statement: [Republika Srpska, hasOwnHealthSystem, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOwnHealthSystem
Context triple: [Republika Srpska, hasOwnHealthSystem, yes]
  • A. hasHealthcareProvider
    Indicates that one entity receives healthcare services or medical oversight from another entity acting as its healthcare provider.
  • B. hasHealthcareInfrastructure
    Indicates that an entity possesses facilities, systems, and resources necessary to deliver healthcare services.
  • C. healthSystem
    Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
  • D. hasHealthProgram
    Indicates that an entity provides, administers, or is associated with a specific health-related program or initiative.
  • E. hasPublicHealthInfrastructure
    Indicates that an entity possesses systems, facilities, and organizational structures dedicated to protecting and promoting public health.
  • F. None of above. chosen

Provenance (4 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc6745c17881908df72443e0800068 completed April 1, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:25 p.m.