Triple
T20151310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhakti-rasamrita-sindhu |
E491437
|
entity |
| Predicate | dividesBhaktiInto |
P138868
|
FINISHED |
| Object | sadhana-bhakti |
—
|
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: sadhana-bhakti | Statement: [Bhakti-rasamrita-sindhu, dividesBhaktiInto, sadhana-bhakti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dividesBhaktiInto Context triple: [Bhakti-rasamrita-sindhu, dividesBhaktiInto, sadhana-bhakti]
-
A.
roleInGaudiyaVaishnavism
Indicates the specific function, position, or significance an entity holds within the theological, devotional, or institutional framework of Gaudiya Vaishnavism.
-
B.
isDevotional
Indicates that something is intended for or characterized by religious worship, reverence, or spiritual devotion.
-
C.
honorsNimbarkaAs
Indicates that someone regards Nimbarka with a particular status, role, or title, such as a teacher, authority, or incarnation.
-
D.
isDivyaDesam
Indicates that a location is one of the 108 sacred Vishnu temples (Divya Desams) revered in the Tamil Vaishnavite tradition.
-
E.
hasDevotionalForm
Indicates that one entity takes or possesses a devotional expression, format, or mode in relation to another entity or context.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dc34e081908e42e4c1bde26170 |
completed | April 20, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc2bc3c819088c33cd263303433 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 11:33 p.m.