Triple

T25642754
Position Surface form Disambiguated ID Type / Status
Subject Qliance E642875 entity
Predicate hasPracticeModelFeature P100986 FINISHED
Object smaller patient panels per clinician 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: smaller patient panels per clinician | Statement: [Qliance, hasPracticeModelFeature, smaller patient panels per clinician]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPracticeModelFeature
Context triple: [Qliance, hasPracticeModelFeature, smaller patient panels per clinician]
  • A. hasPracticeForm
    Indicates that an entity is associated with, or takes place in, a particular form or mode of practice.
  • B. hasPractices
    Indicates that an entity engages in, follows, or carries out specific practices, methods, or customary ways of doing things.
  • C. hasFeatureCode
    Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
  • D. usesCapabilityModel
    Indicates that one entity employs or relies on a specific capability model to perform its functions or make decisions.
  • E. hasApproachFeature chosen
    Indicates that something possesses a characteristic, element, or quality specifically related to its method, strategy, or manner of approach.
  • 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_69e77e7ce28081908b08d65ee6e5c8be completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 21, 2026, 5:46 p.m.