Triple

T34491671
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine and Health Sciences, Linköping University E885483 entity
Predicate hasDoctoralEducationIn P182874 FINISHED
Object medical sciences 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: medical sciences | Statement: [Faculty of Medicine and Health Sciences, Linköping University, hasDoctoralEducationIn, medical sciences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDoctoralEducationIn
Context triple: [Faculty of Medicine and Health Sciences, Linköping University, hasDoctoralEducationIn, medical sciences]
  • A. hasDoctoralDegree
    Indicates that an entity holds a doctoral-level academic degree (such as a PhD, MD, or equivalent).
  • B. hasDoctoralTraining
    Indicates that one entity has received doctoral-level academic or professional training, typically under the supervision or within the program of another entity.
  • C. hasDoctoralSchool
    Indicates that an individual or academic entity is affiliated with or obtained their doctoral education from a specific doctoral school or graduate institution.
  • D. hasDoctoralDegreeFrom
    Indicates that an individual holds a doctoral-level academic degree that was awarded by a specified institution.
  • E. isDoctorOf
    Indicates that one entity serves as the medical doctor responsible for the care or treatment of another entity.
  • 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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f794f24e588190965e39b77534d53f completed May 3, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
PDg Predicate description generation batch_69f791cad5e08190a8a04ca283dbecaa completed May 3, 2026, 6:19 p.m.
Created at: May 1, 2026, 2:01 a.m.