Triple
T11122144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannada literature |
E263040
|
entity |
| Predicate | hasTranslationActivity |
P75990
|
FINISHED |
| Object | extensive translations from Sanskrit |
—
|
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: extensive translations from Sanskrit | Statement: [Kannada literature, hasTranslationActivity, extensive translations from Sanskrit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTranslationActivity Context triple: [Kannada literature, hasTranslationActivity, extensive translations from Sanskrit]
-
A.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
hasTranslated
chosen
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
C.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
D.
hasTranslationPlatform
Indicates that one entity provides or is associated with a platform used to perform or manage translations for another entity.
-
E.
hasTraditionalTranslation
Indicates that one entity serves as the established or customary translation of another entity in a traditional or historically accepted sense.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79afa0ab88190ab6d61df8cf485ec |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.