Triple

T5361866
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Dentistry, Dalhousie University E103039 entity
Predicate hasClinicalComponent P41890 FINISHED
Object teaching clinic 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: teaching clinic | Statement: [Faculty of Dentistry, Dalhousie University, hasClinicalComponent, teaching clinic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClinicalComponent
Context triple: [Faculty of Dentistry, Dalhousie University, hasClinicalComponent, teaching clinic]
  • A. hasClinicalUnit chosen
    Indicates that an entity is associated with or belongs to a specific clinical unit or department within a healthcare setting.
  • B. hasClinicalSignificance
    Indicates that something (such as a finding, variant, or condition) has a meaningful impact or relevance in a clinical or medical context.
  • C. clinicalSignOf
    Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
  • D. hasPatient
    Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
  • E. hasPreclinicalFeature
    Indicates that an entity exhibits a characteristic, sign, or attribute that is present before the full clinical manifestation of a condition or disease.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865a0bb081909579cfe7c7974075 completed March 20, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69bd845f41f88190b75b8b64b9e41862 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:02 p.m.