Triple
T14244325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Humanities, University of Hyderabad |
E353092
|
entity |
| Predicate | academicActivities |
P53570
|
FINISHED |
| Object | teaching |
—
|
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: teaching | Statement: [School of Humanities, University of Hyderabad, academicActivities, teaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicActivities Context triple: [School of Humanities, University of Hyderabad, academicActivities, teaching]
-
A.
hasAcademicActivityType
chosen
Indicates that an academic activity is classified as belonging to a specific type or category of academic work.
-
B.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
C.
publicationActivity
Indicates the act or process of producing and disseminating a work (such as a document, article, or media item) to an audience.
-
D.
academicPost
Indicates that an entity holds or is associated with a formal academic position or appointment at an educational or research institution.
-
E.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.