Triple
T19635960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, Sohag University |
E471396
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Botany |
—
|
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 Botany | Statement: [Faculty of Science, Sohag University, hasDepartment, Department of Botany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Botany Context triple: [Faculty of Science, Sohag University, hasDepartment, Department of Botany]
-
A.
Department of Botany
The Department of Botany is an academic unit at Savitribai Phule Pune University dedicated to teaching and research in plant sciences and related biological fields.
-
B.
Department of Botany
The Department of Botany is an academic unit at Kohat University of Science and Technology dedicated to the study and research of plant biology and related botanical sciences.
-
C.
Department of Botany
The Department of Botany is an academic unit at Cairo University's Faculty of Science dedicated to the study and research of plant biology and related fields.
-
D.
Department of Botany
The Department of Botany is an academic unit at Hansraj College specializing in the study and research of plant sciences.
-
E.
Department of Botany
The Department of Botany is an academic unit within Mansoura University's Faculty of Science that focuses on the study and research of plant biology and related fields.
- 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 Botany Target entity description: The Department of Botany is an academic unit within Sohag University's Faculty of Science that focuses on teaching and research in plant biology and related fields.
-
A.
Department of Botany
The Department of Botany is an academic unit within Mansoura University's Faculty of Science that focuses on the study and research of plant biology and related fields.
-
B.
Department of Botany
The Department of Botany is an academic unit at Cairo University's Faculty of Science dedicated to the study and research of plant biology and related fields.
-
C.
Department of Botany
The Department of Botany is an academic unit at Vidyasagar University dedicated to the study and research of plant biology and related sciences.
-
D.
Department of Botany
The Department of Botany is an academic unit at Sri Venkateswara University dedicated to teaching and research in plant sciences and related biological fields.
-
E.
Department of Botany
The Department of Botany is an academic unit at Gauhati University dedicated to teaching and research in plant sciences and related biological fields.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641070528819085663c439f50148e |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.