Triple

T7420411
Position Surface form Disambiguated ID Type / Status
Subject College of Health Sciences E171231 entity
Predicate providesTrainingSetting P76860 FINISHED
Object clinical training 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: clinical training | Statement: [College of Health Sciences, providesTrainingSetting, clinical training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesTrainingSetting
Context triple: [College of Health Sciences, providesTrainingSetting, clinical training]
  • A. providesTrainingFor
    Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
  • B. hasTrainingFor
    Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
  • C. trainingComponent
    Indicates that one entity functions as a training-related part, module, or element within a larger training process or system involving another entity.
  • D. requiresTraining
    Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
  • E. trainingSupport
    Indicates that one entity provides assistance, resources, or facilitation to help another entity conduct or participate in training activities.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ea61248190886e8e55b42ba5f1 completed March 27, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69c6f0345040819094c5756dfa487faf completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f1c3307481909a7f6bb69d4fddac completed March 27, 2026, 9:08 p.m.
Created at: March 27, 2026, 3:11 p.m.