Triple
T7214370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts, University of Delhi |
E149491
|
entity |
| Predicate | hasAcademicStaffCategory |
P47
|
FINISHED |
| Object | professors |
—
|
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: professors | Statement: [Faculty of Arts, University of Delhi, hasAcademicStaffCategory, professors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicStaffCategory Context triple: [Faculty of Arts, University of Delhi, hasAcademicStaffCategory, professors]
-
A.
hasAcademicStaff
chosen
Indicates that an institution or organization employs or is associated with one or more academic staff members.
-
B.
hasInstitutionalCategory
Indicates that an entity is classified under a specific institutional type or category within an organizational or institutional framework.
-
C.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
-
D.
hasAcademicFunction
Indicates that an entity serves a specific academic role, duty, or function within an educational or scholarly context.
-
E.
hasAcademicDepartment
Indicates that an institution or organization includes or is associated with a specific academic department.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98cbebc8190941e76259c988790 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:53 p.m.