Triple

T210385
Position Surface form Disambiguated ID Type / Status
Subject Doctor of Dentistry (Dr. med. dent.) E4703 entity
Predicate regulatesProfessionalPracticeIn P9142 FINISHED
Object oral health care 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: oral health care | Statement: [Doctor of Dentistry (Dr. med. dent.), regulatesProfessionalPracticeIn, oral health care]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatesProfessionalPracticeIn
Context triple: [Doctor of Dentistry (Dr. med. dent.), regulatesProfessionalPracticeIn, oral health care]
  • A. regulatesUse
    Indicates that one entity controls, governs, or sets rules for how another entity may be used.
  • B. associatedWithPractice
    Indicates a relationship in which an entity is connected or linked to a particular practice, activity, or customary way of doing something.
  • C. practice
    Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
  • D. practicedLawIn
    Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
  • E. regulatesParticipationIn
    Indicates that one entity controls, directs, or sets rules governing another entity’s involvement in an activity, process, or system.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25d35aa288190966b6e15af1525cb completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b4f71b88190866c8262922ae204 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25d3463648190ac716d7475378536 completed Feb. 28, 2026, 3:12 a.m.
Created at: Feb. 28, 2026, 2:52 a.m.