Triple
T34432807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandragiri Hill |
E883871
|
entity |
| Predicate | hasReligiousMonuments |
—
|
GENERATED |
| Object | yes |
—
|
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: hasReligiousMonuments Context triple: [Chandragiri Hill, hasReligiousMonuments, yes]
-
A.
hasReligiousSite
chosen
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
B.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
C.
hasReligiousBuildingAlong
Indicates that a religious building is located along the course, path, or extent of the referenced entity.
-
D.
knownMonuments
Indicates that an entity is recognized or identified as a monument by another entity or within a given context.
-
E.
hasSpiritualSitesIn
Indicates that one entity possesses or contains spiritual or religious sites located within the boundaries of another entity.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2 a.m.