Triple
T7121642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaishnava Padavali poetry |
E165961
|
entity |
| Predicate | modeOfTransmission |
P74969
|
FINISHED |
| Object | oral performance |
—
|
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: oral performance | Statement: [Vaishnava Padavali poetry, modeOfTransmission, oral performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTransmission Context triple: [Vaishnava Padavali poetry, modeOfTransmission, oral performance]
-
A.
transmissionBetweenHumans
Indicates that something (such as a disease, information, or influence) is passed directly from one human to another.
-
B.
infectionMethod
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
-
C.
languageOfTransmission
Indicates the language used to convey or transmit the content or information in a given communication or resource.
-
D.
plagueTransmission
Indicates the way in which plague is passed or spread from one host, vector, or environment to another.
-
E.
primaryTransmission
Indicates the main or original transfer of something (such as information, energy, or disease) from one source entity to another.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e61e67788190959fbd7fa6c929d3 |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:44 p.m.