Triple

T25805354
Position Surface form Disambiguated ID Type / Status
Subject College of Medicine, Keimyung University E649953 entity
Predicate hasCampus P116 FINISHED
Object Keimyung University Dongsan campus
Keimyung University Dongsan campus is a major medical-focused campus of Keimyung University in Daegu, South Korea, centered around its College of Medicine and affiliated teaching hospital facilities.
E150180 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: Keimyung University Dongsan campus | Statement: [College of Medicine, Keimyung University, hasCampus, Keimyung University Dongsan campus]
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: Keimyung University Dongsan campus
Triple: [College of Medicine, Keimyung University, hasCampus, Keimyung University Dongsan campus]
Generated description
Keimyung University Dongsan campus is a major medical-focused campus of Keimyung University in Daegu, South Korea, centered around its College of Medicine and affiliated teaching hospital facilities.

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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5ffcee8288190b03d20d2f1f8df3d completed May 2, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10eca46b608190984357a7ffc2f8e7 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10ee7a469881908be91b7901ada3a2 completed May 23, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a10ef6795e08190a1ba5f600628316b completed May 23, 2026, 12:05 a.m.
Created at: April 22, 2026, 7:02 a.m.