Triple
T19963630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katyayani |
E479875
|
entity |
| Predicate | navadurgaOrder |
P136329
|
FINISHED |
| Object | sixth form of Durga |
—
|
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: sixth form of Durga | Statement: [Katyayani, navadurgaOrder, sixth form of Durga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navadurgaOrder Context triple: [Katyayani, navadurgaOrder, sixth form of Durga]
-
A.
positionInNavadurga
chosen
Indicates the specific role or placement an entity holds within the Navadurga (nine forms of Durga) grouping or sequence.
-
B.
landCommanderMysore
Indicates that an entity serves as the land forces commander for Mysore.
-
C.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
D.
BadaguThittuRegion
Indicates that something is located in, associated with, or pertains to the Badagu Thittu region.
-
E.
orderPrecedenceWithinIndia
Indicates the relative ranking or priority of entities in terms of legal or administrative precedence within the jurisdiction of India.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af619108190825cbcfb6b8e1fa5 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.