Triple
T35890813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamundeshwari |
E1037775
|
entity |
| Predicate | majorShrineState |
P92828
|
FINISHED |
| Object | Karnataka |
—
|
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: Karnataka | Statement: [Chamundeshwari, majorShrineState, Karnataka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorShrineState Context triple: [Chamundeshwari, majorShrineState, Karnataka]
-
A.
stateShrineOf
chosen
Indicates that one entity is officially designated as a state-recognized shrine associated with or located within another entity (typically a state or region).
-
B.
isMostSacredShrineOf
Indicates that one entity is regarded as the holiest or most sacred shrine associated with another entity (such as a deity, religion, or tradition).
-
C.
countryShrineOf
Indicates that a country is the location or host nation of a particular shrine.
-
D.
shrineRegion
Indicates that a shrine is located within or associated with a particular geographic region.
-
E.
shrineCity
Indicates that a city is the location of, or is associated with, a particular shrine.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: May 3, 2026, 4:06 p.m.