Triple
T25693323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenkalai |
E644253
|
entity |
| Predicate | hasViewOnLakshmi |
P160875
|
FINISHED |
| Object | Lakshmi as intercessor but not independent savior |
—
|
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 intercessor but not independent savior | Statement: [Tenkalai, hasViewOnLakshmi, Lakshmi as intercessor but not independent savior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewOnLakshmi Context triple: [Tenkalai, hasViewOnLakshmi, Lakshmi as intercessor but not independent savior]
-
A.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
B.
viewOnHanuman
Indicates a perspective, opinion, or interpretive stance that someone or something holds regarding Hanuman.
-
C.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
D.
viewOnHinduism
Indicates a person's stance, opinion, or perspective regarding Hinduism.
-
E.
viewOfAyodhya
Indicates a visual depiction, perspective, or representation showing Ayodhya as the subject or scene.
- 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 21, 2026, 8:31 p.m.