Triple
T5468028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundarar |
E122760
|
entity |
| Predicate | deityTypeOfDevotion |
P5315
|
FINISHED |
| Object | personal god Shiva |
—
|
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: personal god Shiva | Statement: [Sundarar, deityTypeOfDevotion, personal god Shiva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deityTypeOfDevotion Context triple: [Sundarar, deityTypeOfDevotion, personal god Shiva]
-
A.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
B.
mainDeity
Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
-
C.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
D.
discussesDeity
Indicates that one entity talks or writes about, analyzes, or otherwise engages in discourse concerning a deity or divine being.
-
E.
venerationType
chosen
Indicates the specific manner or category of reverence or worship directed toward an entity.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.