Triple
T25693271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadakalai |
E644252
|
entity |
| Predicate | viewOnLakshmi |
P160875
|
FINISHED |
| Object | Lakshmi as mediator of divine grace |
—
|
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: Lakshmi as mediator of divine grace | Statement: [Vadakalai, viewOnLakshmi, Lakshmi as mediator of divine grace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnLakshmi Context triple: [Vadakalai, viewOnLakshmi, Lakshmi as mediator of divine grace]
-
A.
hasViewOnLakshmi
chosen
Indicates that an entity holds an opinion, perspective, or stance regarding Lakshmi.
-
B.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
C.
viewOnRama
Indicates that one entity has a visual perspective or view directed toward the entity named Rama.
-
D.
viewOnAyyaVaikundar
Indicates the perspective, interpretation, or doctrinal stance that an entity holds regarding Ayya Vaikundar.
-
E.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 8:31 p.m.