Triple
T34020620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gommateshwara Bahubali statue at Shravanabelagola |
E872369
|
entity |
| Predicate | MahamastakabhishekaRitual |
P178157
|
FINISHED |
| Object | anointing with milk |
—
|
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: anointing with milk | Statement: [Gommateshwara Bahubali statue at Shravanabelagola, MahamastakabhishekaRitual, anointing with milk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MahamastakabhishekaRitual Context triple: [Gommateshwara Bahubali statue at Shravanabelagola, MahamastakabhishekaRitual, anointing with milk]
-
A.
MahamastakabhishekaFrequency
Indicates how often the Mahamastakabhisheka ceremony or ritual is performed or observed.
-
B.
VajranabhaIs
Indicates that something or someone is identified as or characterized by being Vajranabha.
-
C.
Civaka Cintamani
Indicates a relationship or reference involving the work "Civaka Cintamani," such as authorship, subject, or association with this text.
-
D.
majorDurbar
Indicates a formal, large-scale ceremonial gathering or court assembly involving significant participants or high authority.
-
E.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:51 a.m.