Triple

T25151123
Position Surface form Disambiguated ID Type / Status
Subject University of Virginia Health System E630077 entity
Predicate hasComponent P35 FINISHED
Object UVA Children’s Hospital
UVA Children’s Hospital is a pediatric medical center in Charlottesville, Virginia, providing specialized healthcare services for infants, children, and adolescents as part of the University of Virginia’s academic health system.
 E1668650 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: UVA Children’s Hospital | Statement: [University of Virginia Health System, hasComponent, UVA Children’s Hospital]
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: UVA Children’s Hospital
Triple: [University of Virginia Health System, hasComponent, UVA Children’s Hospital]
Generated description
UVA Children’s Hospital is a pediatric medical center in Charlottesville, Virginia, providing specialized healthcare services for infants, children, and adolescents as part of the University of Virginia’s academic health system.

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_69e2ff349e408190a6f4a5a66279f54d completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f46b8404a48190a654528935d0f07d completed May 1, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d0a7d788190a1d5a66da609f4de completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105e17b4708190bceee2e6c3f4f3a7 completed May 22, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a105fa381408190b9343fb060d29374 completed May 22, 2026, 1:52 p.m.
Created at: April 18, 2026, 6:30 a.m.