Triple
T5443737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambandar |
E122196
|
entity |
| Predicate | numberInTevaramTrinity |
P64115
|
FINISHED |
| Object | one of the three principal Tevaram saints |
—
|
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: one of the three principal Tevaram saints | Statement: [Sambandar, numberInTevaramTrinity, one of the three principal Tevaram saints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInTevaramTrinity Context triple: [Sambandar, numberInTevaramTrinity, one of the three principal Tevaram saints]
-
A.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
B.
hasNumberOfDivyaDesams
Indicates the specific count of Divya Desams associated with a given entity.
-
C.
hasNumberOfDeities
Indicates the specific count of deities associated with an entity, such as a religion, mythology, or belief system.
-
D.
numberOfGurus
Indicates the quantity or count of gurus associated with a given entity or context.
-
E.
hasNumberOfSephirot
Indicates the specific count of sephirot associated with or attributed to an entity.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:07 p.m.