Triple
T441711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swayam |
E10126
|
entity |
| Predicate | certificationBy |
P13210
|
FINISHED |
| Object | participating universities |
—
|
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: participating universities | Statement: [Swayam, certificationBy, participating universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: certificationBy Context triple: [Swayam, certificationBy, participating universities]
-
A.
courseCertification
Indicates that an entity has been formally certified as having successfully completed a particular course.
-
B.
certificationDate
Indicates the date on which an entity was officially certified or granted a formal certification.
-
C.
certificationUS
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid within the United States.
-
D.
certificationUK
Indicates that an entity holds or is associated with a certification that is specifically recognized or issued within the United Kingdom.
-
E.
certificationCanada
Indicates that an entity holds or is associated with a certification that is recognized, issued, or valid in Canada.
- F. None of above. chosen
Provenance (4 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef42b4008190abed9d79926c7022 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2eddcf50c8190bfa0d1f8ee9f604a |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeb9e6b0819093863959a6e5730a |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.