Triple
T19963629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katyayani |
E479875
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Navadurga |
—
|
NE NERFINISHED |
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: Navadurga | Statement: [Katyayani, partOf, Navadurga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navadurga Context triple: [Katyayani, partOf, Navadurga]
-
A.
Navadurga
chosen
Navadurga refers to the nine manifestations of the Hindu goddess Durga, each worshipped on a different day of the Navaratri festival.
-
B.
Gorikot
Gorikot is a village and local hub in Pakistan’s Astore Valley, serving as a gateway to nearby mountain regions and trekking routes.
-
C.
Pavagada
Pavagada is a town in the Tumakuru district of Karnataka, India, known for its large solar park and semi-arid landscape.
-
D.
Lakkundi
Lakkundi is a historic village in Karnataka, India, renowned for its intricately carved medieval temples and stepwells built during the Western Chalukya period.
-
E.
Channapatna
Channapatna is a town in Karnataka, India, renowned for its traditional wooden toy-making industry and vibrant lacquerware crafts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 1:54 p.m.