Triple
T22703244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyung Hee University |
E561377
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | College of Dentistry |
—
|
NE NERFINISHED |
How this triple was built (3 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: College of Dentistry | Statement: [Kyung Hee University, hasFaculty, College of Dentistry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College of Dentistry Context triple: [Kyung Hee University, hasFaculty, College of Dentistry]
-
A.
College of Dentistry
The College of Dentistry at Yonsei University is a leading South Korean dental school known for its comprehensive dental education, clinical training, and research in oral health sciences.
-
B.
College of Dentistry
The College of Dentistry at Seoul National University is a leading dental education and research institution in South Korea, training dentists and advancing oral health sciences.
-
C.
College of Dentistry
The College of Dentistry is a specialized academic institution within Al-Mustansiriya University that provides education, training, and research in dental medicine and oral health sciences.
-
D.
College of Dentistry
The College of Dentistry is the dental education and research faculty of Chonnam National University in South Korea, training future dentists and conducting oral health research.
-
E.
College of Dentistry
The College of Dentistry is a specialized academic unit of Chosun University dedicated to educating dental professionals and advancing research in oral health and dental science.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College of Dentistry Target entity description: The College of Dentistry at Kyung Hee University is a professional dental school in South Korea that educates future dentists and conducts research in oral health and dental science.
-
A.
College of Dentistry
The College of Dentistry at Seoul National University is a leading dental education and research institution in South Korea, training dentists and advancing oral health sciences.
-
B.
College of Dentistry
The College of Dentistry is the dental education and research faculty of Chonnam National University in South Korea, training future dentists and conducting oral health research.
-
C.
College of Dentistry
The College of Dentistry at Yonsei University is a leading South Korean dental school known for its comprehensive dental education, clinical training, and research in oral health sciences.
-
D.
College of Dentistry
The College of Dentistry is a specialized academic unit of Chosun University dedicated to educating dental professionals and advancing research in oral health and dental science.
-
E.
College of Dentistry
The College of Dentistry is the dental education and training institution within Kuwait University that prepares students for professional practice in dentistry and oral health care.
- F. None of above. chosen
Provenance (2 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cbf5788190bc8cd1bc71a861e5 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:16 p.m.