Triple
T17980650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padmavati |
E449591
|
entity |
| Predicate | roleInTirupatiTradition |
P129990
|
FINISHED |
| Object | principal goddess of Tiruchanur |
—
|
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: principal goddess of Tiruchanur | Statement: [Padmavati, roleInTirupatiTradition, principal goddess of Tiruchanur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTirupatiTradition Context triple: [Padmavati, roleInTirupatiTradition, principal goddess of Tiruchanur]
-
A.
roleInKrishnaLife
Indicates the specific role or function an entity plays in the life, activities, or narrative associated with Krishna.
-
B.
roleInSikhTradition
Indicates the specific function, status, or position an entity holds within Sikh religious, cultural, or historical practices and institutions.
-
C.
templePractice
Indicates a religious or ritual activity that is performed within or in connection with a temple.
-
D.
devoteesSeek
Indicates that devoted followers actively seek out, pursue, or strive to approach the object of their devotion.
-
E.
pilgrimagePractice
Indicates that an entity engages in, prescribes, or is associated with the religious act of undertaking a pilgrimage as a spiritual practice.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b202aab88190b44851808c75a848 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.