Triple

T210382
Position Surface form Disambiguated ID Type / Status
Subject Doctor of Dentistry (Dr. med. dent.) E4703 entity
Predicate typicalAdmissionRequirement P1130 FINISHED
Object completed dental studies 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: completed dental studies | Statement: [Doctor of Dentistry (Dr. med. dent.), typicalAdmissionRequirement, completed dental studies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalAdmissionRequirement
Context triple: [Doctor of Dentistry (Dr. med. dent.), typicalAdmissionRequirement, completed dental studies]
  • A. typicalAdmissionSelectivity
    Indicates the usual level of competitiveness or restrictiveness in admitting applicants to an institution or program.
  • B. eligibilityCriteria chosen
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • C. typicalApplicantBackground
    Indicates that there is a commonly observed or standard set of characteristics or experiences that describe the usual background of an applicant for a given role or program.
  • D. academicStatus
    Indicates the educational or scholarly standing or level an entity holds within an academic context.
  • E. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • 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_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.
Created at: Feb. 28, 2026, 2:52 a.m.