Triple
T19659926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sree Sankaracharya University of Sanskrit |
E472053
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Malayalam |
—
|
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 Malayalam | Statement: [Sree Sankaracharya University of Sanskrit, hasDepartment, Department of Malayalam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Malayalam Context triple: [Sree Sankaracharya University of Sanskrit, hasDepartment, Department of Malayalam]
-
A.
Department of Malayalam and Kerala Studies, University of Calicut
The Department of Malayalam and Kerala Studies at the University of Calicut is an academic department dedicated to teaching and research in the Malayalam language, literature, and the cultural, historical, and social studies of Kerala.
-
B.
Department of Tamil
The Department of Tamil is an academic unit at Pachaiyappa’s College dedicated to teaching and research in the Tamil language, literature, and related cultural studies.
-
C.
Department of Tamil
The Department of Tamil is an academic unit at Bharathiar University dedicated to teaching and research in the Tamil language, literature, and related cultural studies.
-
D.
Department of Malay Studies
The Department of Malay Studies is an academic unit at the National University of Singapore dedicated to the interdisciplinary study of Malay language, culture, history, and society in Singapore and the wider Malay world.
-
E.
Department of Hindi
The Department of Hindi is an academic unit at Daulat Ram College that focuses on teaching and research in Hindi language and literature.
- 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 Malayalam Target entity description: The Department of Malayalam is an academic unit specializing in the study and research of the Malayalam language, literature, and related cultural traditions.
-
A.
Department of Malayalam and Kerala Studies, University of Calicut
chosen
The Department of Malayalam and Kerala Studies at the University of Calicut is an academic department dedicated to teaching and research in the Malayalam language, literature, and the cultural, historical, and social studies of Kerala.
-
B.
Department of Tamil
The Department of Tamil is an academic unit at Pachaiyappa’s College dedicated to teaching and research in the Tamil language, literature, and related cultural studies.
-
C.
Department of Tamil
The Department of Tamil is an academic unit at Bharathiar University dedicated to teaching and research in the Tamil language, literature, and related cultural studies.
-
D.
Department of Malay Studies
The Department of Malay Studies is an academic unit at the National University of Singapore dedicated to the interdisciplinary study of Malay language, culture, history, and society in Singapore and the wider Malay world.
-
E.
Department of Hindi
The Department of Hindi is an academic unit at Daulat Ram College that focuses on teaching and research in Hindi language and literature.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414993ac8190b6da3702b1924b24 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.