Triple
T20498240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylhet Agricultural University |
E503228
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object | Faculty of Fisheries |
—
|
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: Faculty of Fisheries | Statement: [Sylhet Agricultural University, hasFaculty, Faculty of Fisheries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Fisheries Context triple: [Sylhet Agricultural University, hasFaculty, Faculty of Fisheries]
-
A.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Kindai University specializing in marine science, aquaculture, and fisheries-related education and research.
-
B.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Ege University specializing in education and research on aquatic sciences, marine resources, and fisheries management.
-
C.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Universidad Nacional Agraria La Molina in Peru dedicated to education and research in fisheries science, aquatic resources, and related technologies.
-
D.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Kagoshima University specializing in marine science, fisheries technology, and related aquatic resource studies.
-
E.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Nagasaki University specializing in marine science, fisheries technology, and related aquatic resource studies.
- 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: Faculty of Fisheries Target entity description: The Faculty of Fisheries is an academic division of Sylhet Agricultural University specializing in education and research related to fisheries science, aquaculture, and aquatic resource management.
-
A.
Faculty of Fisheries
The Faculty of Fisheries is an academic division specializing in fisheries science, aquatic resources, and related research and training at the University of Rajshahi in Bangladesh.
-
B.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Ege University specializing in education and research on aquatic sciences, marine resources, and fisheries management.
-
C.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Nagasaki University specializing in marine science, fisheries technology, and related aquatic resource studies.
-
D.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Kagoshima University specializing in marine science, fisheries technology, and related aquatic resource studies.
-
E.
Faculty of Fisheries
The Faculty of Fisheries is an academic division of Kindai University specializing in marine science, aquaculture, and fisheries-related education and research.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.