Triple
T37217806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baneshwar Mahadev Temple |
E922787
|
entity |
| Predicate | hasPrimaryFestivals |
—
|
GENERATED |
| Object | Maha Shivaratri |
—
|
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: hasPrimaryFestivals Context triple: [Baneshwar Mahadev Temple, hasPrimaryFestivals, Maha Shivaratri]
-
A.
hasFestival
chosen
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
B.
hasFestivalImportance
Indicates that something holds notable significance, relevance, or prominence within the context of a festival or festive event.
-
C.
hasFestivalFrequency
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
D.
hasFestivalDepicted
Indicates that a work or representation includes a depiction or portrayal of a festival.
-
E.
hasFestivalConnection
Indicates a relationship in which two entities are connected through a festival, such as by participation, organization, sponsorship, or association with that event.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.