Triple

T26456765
Position Surface form Disambiguated ID Type / Status
Subject School of Podiatric Medicine E665513 entity
Predicate grantsProfessionalDegree P105261 FINISHED
Object Doctor of Podiatric Medicine 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: Doctor of Podiatric Medicine | Statement: [School of Podiatric Medicine, grantsProfessionalDegree, Doctor of Podiatric Medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantsProfessionalDegree
Context triple: [School of Podiatric Medicine, grantsProfessionalDegree, Doctor of Podiatric Medicine]
  • A. grantedDegreesTo
    Indicates that one entity has officially conferred academic degrees upon another entity.
  • B. grantsDegreeThrough
    Indicates that an institution confers a degree to an individual by means of a specified program, process, or pathway.
  • C. grantsDegreeIn chosen
    Indicates that an institution or authority confers an academic degree in a specified field or discipline.
  • D. grantsDegreesFrom
    Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
  • E. eligibleDegree
    Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
  • 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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 27, 2026, 12:09 a.m.