Triple
T3025875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Ruhuna |
E82572
|
entity |
| Predicate | hasFaculty |
P141
|
FINISHED |
| Object |
Faculty of Fisheries and Marine Sciences and Technology
The Faculty of Fisheries and Marine Sciences and Technology is an academic division of the University of Ruhuna in Sri Lanka specializing in fisheries, oceanography, and marine-related sciences and technologies.
|
E321684
|
NE FINISHED |
How this triple was built (4 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 and Marine Sciences and Technology | Statement: [University of Ruhuna, hasFaculty, Faculty of Fisheries and Marine Sciences and Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Fisheries and Marine Sciences and Technology Context triple: [University of Ruhuna, hasFaculty, Faculty of Fisheries and Marine Sciences and Technology]
-
A.
Faculty of Fisheries and Marine
The Faculty of Fisheries and Marine is a specialized academic unit of Airlangga University focused on education and research in fisheries science, marine resources, and aquatic environments.
-
B.
Faculty of Fisheries Sciences
The Faculty of Fisheries Sciences is a specialized academic division of Hokkaido University focused on marine science, fisheries, and aquatic resource research and education.
-
C.
Faculty of Fisheries Science
The Faculty of Fisheries Science is an academic division of Assam Agricultural University dedicated to education and research in fisheries, aquaculture, and aquatic resource management.
-
D.
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.
-
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
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Faculty of Fisheries and Marine Sciences and Technology Triple: [University of Ruhuna, hasFaculty, Faculty of Fisheries and Marine Sciences and Technology]
Generated description
The Faculty of Fisheries and Marine Sciences and Technology is an academic division of the University of Ruhuna in Sri Lanka specializing in fisheries, oceanography, and marine-related sciences and technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Fisheries and Marine Sciences and Technology Target entity description: The Faculty of Fisheries and Marine Sciences and Technology is an academic division of the University of Ruhuna in Sri Lanka specializing in fisheries, oceanography, and marine-related sciences and technologies.
-
A.
Faculty of Fisheries and Marine
The Faculty of Fisheries and Marine is a specialized academic unit of Airlangga University focused on education and research in fisheries science, marine resources, and aquatic environments.
-
B.
Faculty of Fisheries Sciences
The Faculty of Fisheries Sciences is a specialized academic division of Hokkaido University focused on marine science, fisheries, and aquatic resource research and education.
-
C.
Faculty of Fisheries Science
The Faculty of Fisheries Science is an academic division of Assam Agricultural University dedicated to education and research in fisheries, aquaculture, and aquatic resource management.
-
D.
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.
-
E.
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.
- F. None of above. chosen
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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abc78b48190a5283e7407a78fe7 |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deb6dc8c8190a5714894b9ca24a1 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df85a39c8190ada558de530e3772 |
completed | March 11, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e3e6aeb48190914d62616ea0c7e1 |
completed | March 11, 2026, 9:51 p.m. |
Created at: March 8, 2026, 3 p.m.