Triple
T22048580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narasimha Jayanti |
E544824
|
entity |
| Predicate | templeFestivities |
P61723
|
FINISHED |
| Object | special abhishekam for Narasimha deities |
—
|
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: special abhishekam for Narasimha deities | Statement: [Narasimha Jayanti, templeFestivities, special abhishekam for Narasimha deities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeFestivities Context triple: [Narasimha Jayanti, templeFestivities, special abhishekam for Narasimha deities]
-
A.
pilgrimageFestivalsObserved
Indicates that certain pilgrimage-related religious festivals are practiced or observed by the subject.
-
B.
templePractice
chosen
Indicates a religious or ritual activity that is performed within or in connection with a temple.
-
C.
festivalObserved
Indicates that a particular festival is celebrated, observed, or commemorated by an entity (such as a person, group, or community).
-
D.
templeState
Indicates that a temple is in a particular condition, status, or phase (such as operational, under construction, abandoned, or ceremonial).
-
E.
templeOpening
Indicates that a temple begins operating or becomes accessible for worship, visitation, or related activities.
- F. None of above.
Provenance (3 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1283191e48190b4ddc84138243327 |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.