Triple
T10742805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shravanabelagola |
E253369
|
entity |
| Predicate | MahamastakabhishekaFrequency |
P95743
|
FINISHED |
| Object | approximately every 12 years |
—
|
LITERAL FINISHED |
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: approximately every 12 years | Statement: [Shravanabelagola, MahamastakabhishekaFrequency, approximately every 12 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MahamastakabhishekaFrequency Context triple: [Shravanabelagola, MahamastakabhishekaFrequency, approximately every 12 years]
-
A.
MahaKumbhFrequency
Indicates how often the Maha Kumbh event occurs in time (i.e., the temporal frequency with which it is held).
-
B.
KumbhMelaFrequency
Indicates how often the Kumbh Mela event occurs or is held over time.
-
C.
hasNumberOfJyotirlingas
Indicates the relationship specifying how many Jyotirlingas (sacred Shiva shrines) are associated with a given entity.
-
D.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
-
E.
VajranabhaIs
Indicates that something or someone is identified as or characterized by being Vajranabha.
- F. None of above. chosen
Provenance (4 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b5dd8c81908f1d9b126e4c3ae7 |
completed | April 9, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:15 p.m.