Triple
T33201478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srinivas |
E849909
|
entity |
| Predicate | primaryRegionOfFame |
—
|
GENERATED |
| Object | South India |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRegionOfFame Context triple: [Srinivas, primaryRegionOfFame, South India]
-
A.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
B.
primaryRegionDepicted
Indicates that a resource primarily depicts or visually represents a particular geographic or spatial region as its main subject.
-
C.
primaryTerritory
Indicates that a specified area or region is the main or most important territory associated with an entity.
-
D.
notableInRegion
chosen
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
-
E.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
- F. None of above.
Provenance (1 batch)
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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:29 a.m.