Triple
T11620319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NPTEL YouTube channel |
E275618
|
entity |
| Predicate | typicalVideoFormat |
P79874
|
FINISHED |
| Object | classroom-style lecture |
—
|
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: classroom-style lecture | Statement: [NPTEL YouTube channel, typicalVideoFormat, classroom-style lecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVideoFormat Context triple: [NPTEL YouTube channel, typicalVideoFormat, classroom-style lecture]
-
A.
defaultFileFormatVideo
Indicates the default file format used for saving or exporting video content.
-
B.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
C.
videoStandard
chosen
Indicates the video format or broadcasting standard that applies to a given video or recording.
-
D.
televisionFormat
Indicates the specific type or style of television program or production format associated with an entity.
-
E.
typicalBroadcastFormat
Indicates the usual or standard broadcast format in which something (such as a program or content) is typically transmitted.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.