Triple
T7122842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahajiya traditions |
E165987
|
entity |
| Predicate | viewOnLove |
P74978
|
FINISHED |
| Object | human love as symbol of divine union |
—
|
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: human love as symbol of divine union | Statement: [Sahajiya traditions, viewOnLove, human love as symbol of divine union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnLove Context triple: [Sahajiya traditions, viewOnLove, human love as symbol of divine union]
-
A.
viewOnPleasure
Indicates a subject’s stance, opinion, or attitude toward the concept or experience of pleasure.
-
B.
viewOnEmotion
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
C.
viewOnSin
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
-
D.
viewOnInterest
Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
-
E.
viewOnPerfection
Indicates a subject’s stance, belief, or interpretation regarding the nature or attainability of perfection.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:44 p.m.