Triple

T27020929
Position Surface form Disambiguated ID Type / Status
Subject University of Utah Health E680658 entity
Predicate hasComponent P35 FINISHED
Object University of Utah Medical Group
University of Utah Medical Group is the physician and clinical practice organization of University of Utah Health, providing coordinated medical care across its hospitals and clinics.
 E680658 NE 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: University of Utah Medical Group | Statement: [University of Utah Health, hasComponent, University of Utah Medical Group]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: University of Utah Medical Group
Triple: [University of Utah Health, hasComponent, University of Utah Medical Group]
Generated description
University of Utah Medical Group is the physician and clinical practice organization of University of Utah Health, providing coordinated medical care across its hospitals and clinics.

Provenance (5 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_69eeeb5450988190bfc9a3c012ac463a completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f622048e10819094ea97b9c638de15 completed May 2, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0b1c7c481908ddede2be56cc4b1 completed May 24, 2026, 10:19 a.m.
NEDg Description generation batch_6a12d2afe2208190b03bed8f48920338 completed May 24, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a12d30f0cf08190b69f5abbcd16d27f completed May 24, 2026, 10:29 a.m.
Created at: April 27, 2026, 7:08 a.m.