Triple

T5289310
Position Surface form Disambiguated ID Type / Status
Subject Norwegian System of Patient Injury Compensation E119702 entity
Predicate legalBasisType P24006 FINISHED
Object national scheme 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: national scheme | Statement: [Norwegian System of Patient Injury Compensation, legalBasisType, national scheme]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalBasisType
Context triple: [Norwegian System of Patient Injury Compensation, legalBasisType, national scheme]
  • A. legalBasis
    Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
  • B. legalStandardType
    Indicates the specific type or category of legal standard that governs or applies to a given legal rule, decision, or evaluation.
  • C. legalBasisForExecution
    Indicates that one entity serves as the legal justification or authority for carrying out the execution of another entity or action.
  • D. legalAuthorityType chosen
    Indicates the specific kind or category of legal authority that governs, authorizes, or regulates an entity or action.
  • E. legalCodeType
    Indicates the specific category or classification of a legal code that applies to an entity or situation.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8682d18c8190bbb35cc75c8a7c12 completed March 20, 2026, 5:40 p.m.
PD Predicate disambiguation batch_69bd844dfdac819086efedd1cbebff84 completed March 20, 2026, 5:30 p.m.
Created at: March 20, 2026, 1:52 p.m.