Triple

T28194683
Position Surface form Disambiguated ID Type / Status
Subject Bachelor of Dental Surgery E716410 entity
Predicate grantsProfessionalStatus P78523 FINISHED
Object dental graduate 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: dental graduate | Statement: [Bachelor of Dental Surgery, grantsProfessionalStatus, dental graduate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantsProfessionalStatus
Context triple: [Bachelor of Dental Surgery, grantsProfessionalStatus, dental graduate]
  • A. hasProfessionalStatus
    Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
  • B. grantsProfessionalLicenseEligibility chosen
    Indicates that one entity confers eligibility upon another entity to obtain a professional license.
  • C. transitionedToProfessionalStatusAs
    Indicates that an entity changed from a non-professional state or role into a professional status specifically in relation to another entity.
  • D. hasProfessionalStatusRequirement
    Indicates that something is subject to a condition specifying a particular professional status that must be held or met.
  • E. hasProfessionalStandard
    Indicates that an entity is subject to, or operates according to, an established professional norm, guideline, or code of practice.
  • 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_69efd6b612f48190a72012b520afbd10 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f67f0488bc819089fbd2d2478158d3 completed May 2, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
Created at: April 27, 2026, 10:27 p.m.