Triple
T22587422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Medical Center of the Johannes Gutenberg University Mainz |
E564835
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Ophthalmology |
—
|
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: Department of Ophthalmology | Statement: [University Medical Center of the Johannes Gutenberg University Mainz, hasDepartment, Department of Ophthalmology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Ophthalmology Context triple: [University Medical Center of the Johannes Gutenberg University Mainz, hasDepartment, Department of Ophthalmology]
-
A.
Department of Ophthalmology
The Department of Ophthalmology at the University Medical Center Göttingen is a clinical and academic unit specializing in the diagnosis, treatment, and research of eye diseases and visual disorders.
-
B.
Department of Ophthalmology
The Department of Ophthalmology is a specialized clinical and research unit focused on the diagnosis, treatment, and study of eye diseases and visual disorders.
-
C.
Department of Ophthalmology
The Department of Ophthalmology is a clinical and academic unit at King George’s Medical University specializing in the diagnosis, treatment, and research of eye diseases and vision care.
-
D.
Department of Ophthalmology
The Department of Ophthalmology is a medical academic and clinical unit specializing in eye health, vision care, and related research within Hacettepe University’s Faculty of Medicine.
-
E.
Department of Ophthalmology
The Department of Ophthalmology at the University of Pittsburgh School of Medicine is a clinical and research division specializing in eye care, vision science, and the treatment and study of ocular diseases.
- 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: Department of Ophthalmology Target entity description: The Department of Ophthalmology is a specialized clinical and academic unit focused on the diagnosis, treatment, and research of eye diseases and visual disorders.
-
A.
Department of Ophthalmology
The Department of Ophthalmology at the University Medical Center Göttingen is a clinical and academic unit specializing in the diagnosis, treatment, and research of eye diseases and visual disorders.
-
B.
Department of Ophthalmology
chosen
The Department of Ophthalmology is a specialized clinical and research unit focused on the diagnosis, treatment, and study of eye diseases and visual disorders.
-
C.
Department of Ophthalmology
The Department of Ophthalmology is a clinical and academic unit at King George’s Medical University specializing in the diagnosis, treatment, and research of eye diseases and vision care.
-
D.
Department of Ophthalmology
The Department of Ophthalmology is a medical academic and clinical unit specializing in eye health, vision care, and related research within Hacettepe University’s Faculty of Medicine.
-
E.
Department of Ophthalmology
The Department of Ophthalmology at the University of Pittsburgh School of Medicine is a clinical and research division specializing in eye care, vision science, and the treatment and study of ocular diseases.
- F. None of above.
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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615de7d48190b1ca46c76a1e609c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:46 p.m.