Triple
T22903281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Law, Banaras Hindu University |
E568380
|
entity |
| Predicate | typeOfDegreeOffered |
P49
|
FINISHED |
| Object | LL.B. |
—
|
LITERAL FINISHED |
How this triple was built (2 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: LL.B. | Statement: [Faculty of Law, Banaras Hindu University, typeOfDegreeOffered, LL.B.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDegreeOffered Context triple: [Faculty of Law, Banaras Hindu University, typeOfDegreeOffered, LL.B.]
-
A.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
B.
typeOfDegreeHandled
Indicates the specific academic degree type that an entity is responsible for managing or processing.
-
C.
offersDegree
chosen
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
D.
grantsDegreeIn
Indicates that an institution or authority confers an academic degree in a specified field or discipline.
-
E.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
- F. None of above.
Provenance (3 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18017a0208190a7e6f1638fc17b01 |
completed | April 29, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:41 p.m.