Triple

T9881614
Position Surface form Disambiguated ID Type / Status
Subject Dutch law E180819 entity
Predicate legalEducationRequiredForPractice P91583 FINISHED
Object Master of Laws (LLM) in Dutch law — 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: Master of Laws (LLM) in Dutch law | Statement: [Dutch law, legalEducationRequiredForPractice, Master of Laws (LLM) in Dutch law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalEducationRequiredForPractice
Context triple: [Dutch law, legalEducationRequiredForPractice, Master of Laws (LLM) in Dutch law]
  • A. legalSchoolPractice
    Indicates that a particular legal practice, method, or approach is characteristic of, endorsed by, or derived from a specific school or tradition of law.
  • B. legalTraining
    Indicates that one entity has provided or received education or instruction in law from another entity.
  • C. legalPractice
    Indicates a relationship where an entity engages in or is associated with the professional provision of legal services or the practice of law.
  • D. legalProfessionIncludes
    Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
  • E. studiedLawIn
    Indicates that a person received legal education or training at a particular institution or location.
  • 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_69ca828082cc8190a40f8d299caa6545 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb41639c88190a9ef3d950485e3ab completed April 2, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69cd1d810ed48190a252b70e9390c8f3 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd36f112bc81908b473787e702de2f completed April 1, 2026, 3:17 p.m.
Created at: March 30, 2026, 8:38 p.m.