Triple
T22162221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnaparichay |
E547698
|
entity |
| Predicate | scriptTaught |
P40656
|
FINISHED |
| Object | Bengali script |
—
|
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: Bengali script | Statement: [Barnaparichay, scriptTaught, Bengali script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptTaught Context triple: [Barnaparichay, scriptTaught, Bengali script]
-
A.
skillTaught
Indicates that one entity teaches or imparts a particular skill to another entity.
-
B.
commandedToBeTaught
Indicates that one entity has issued an instruction that another entity is to be taught or instructed in something.
-
C.
taughtThat
Indicates that one entity provided instruction or education to another entity about a specific subject, skill, or concept.
-
D.
taughtCourse
Indicates that an entity (typically an instructor) has taught a particular course.
-
E.
taughtThrough
chosen
Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a2e47a88190a3b5c05398605f68 |
completed | April 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.